21 Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models

21.1 General Medical Applications

Medical Dataset Archive,
2006. Dataset, Medical Images.
WWW Link. Variety of medical data. CT dataset available from related web site.

Imorphics Ltd,
2002
WWW Link. Vendor, Medical Image Analysis. Derived from:
See also University of Manchester.

Ziosoft,
2007
WWW Link. Vendor, Medical Image Analysis.

Visible Human Project,
1994. Dataset, Medical Images.
HTML Version. Complete data in MRI, CT, slices.

IKOMED Technologies, Inc.,
2011
WWW Link. Vendor, Medical Image Analysis. Goal to reduce radiation exposure from surgical guidance systems.

Honda, N.[Nakaji], Aida, S.[Shuhei],
Analysis of multivariate medical data by face method,
PR(15), No. 3, 1982, pp. 231-242.
Elsevier DOI 0309
BibRef

Cromartie, R., and Pizer, S.M.[Stephen M.],
Structure-Sensitive Adaptive Contrast Enhancement Methods and Their Evaluation,
IVC(11), No. 8, October 1993, pp. 460-467.
Elsevier DOI BibRef 9310

Hill, D.L.G.[Derek L. G.], Hawkes, D.J.[David J.],
Medical Image Registration Using Knowledge of Adjacency of Anatomical Structures,
IVC(12), No. 3, April 1994, pp. 173-178.
Elsevier DOI BibRef 9404
Earlier: BMVC93(xx-yy).
PDF File. 9309
BibRef

Robinson, G.P., Colchester, A.C.F., Griffin, L.D.,
Model-Based Recognition of Anatomical Objects from Medical Images,
IVC(12), No. 8, October 1994, pp. 499-507.
Elsevier DOI BibRef 9410

Roll, S.A., Colchester, A.C.F., Summers, P.E., Griffin, L.D.,
Intensity-Based Object Extraction from 3D Medical Images Including a Correction of Partial Volume Errors,
BMVC94(xx-yy).
PDF File. 9409
BibRef

Robinson, G.P.[Glynn P.], Colchester, A.C.F.[Alan C. F.], Griffin, L.D.[Lewis D.], Hawkes, D.J.[David J.],
Integrated skeleton and boundary shape representation for medical image interpretation,
ECCV92(725-729).
Springer DOI 9205
BibRef

Downs, J., Harrison, R.F., Kennedy, R.L., Cross, S.S.,
Application of the Fuzzy Artmap Neural-Network Model to Medical Pattern-Classification Tasks,
AIMed(8), No. 4, August 1996, pp. 403-428. 9609
BibRef

Berzuini, C., Larizza, C.,
A Unified Approach for Modeling Longitudinal and Failure Time Data, with Application in Medical Monitoring,
PAMI(18), No. 2, February 1996, pp. 109-123.
IEEE DOI BibRef 9602

Dickson, S., Thomas, B.T., MacKeown, W.J.P., Goddard, P.,
Computer Vision Applied to the Detection and Localization of Acoustic Neuromas from Head NIR Images,
VISP(143), No. 4, August 1996, pp. 265-272. 9611
BibRef

Backer, E., Gerbrands, J.J., Reiber, J.H.C., Reijs, A.E.M., Krijgsman, W., van den Herik, H.J.,
Modelling Uncertainty in ESATS by Classification Inference,
PRL(8), 1988, pp. 103-112. BibRef 8800

Lebel, O.,
ARCHI: An Expert System for Biological Objects Recognition,
PRL(8), 1988, pp. 131-139. BibRef 8800

Kallel, F., Bertrand, M.,
Tissue elasticity reconstruction using linear perturbation method,
MedImg(15), No. 3, June 1996, pp. 299-313.
IEEE Top Reference. 0203
BibRef

Vitulano, S., di Ruberto, C., Nappi, M.,
Different Methods to Segment Biomedical Images,
PRL(18), No. 11-13, November 1997, pp. 1125-1131. 9806
BibRef

Nuyts, J., Michel, C., Dupont, P.,
Maximum-likelihood expectation-maximization reconstruction of sinograms with arbitrary noise distribution using NEC-transformations,
MedImg(20), No. 5, May 2001, pp. 365-375.
IEEE Top Reference. 0110
BibRef

Altbach, M.I., Trouard, T.P., van de Walle, R., Theilmann, R.J., Clarkson, E.W., Barrett, H.H., Gmitro, A.F.,
Chemical-shift imaging utilizing the positional shifts along the readout gradient direction,
MedImg(20), No. 11, November 2001, pp. 1156-1166.
IEEE Top Reference. 0111
BibRef

Abbey, C.K.[Craig K.], Eckstein, M.P.[Miguel P.],
Optimal shifted estimates of human-observer templates in two-alternative forced-choice experiments,
MedImg(21), No. 5, May 2002, pp. 429-440.
IEEE Top Reference. 0206
BibRef

Masood, S., Gao, J.X.[Jian-Xin], Yang, G.Z.[Guang-Zhong],
Virtual tagging: numerical considerations and phantom validation,
MedImg(21), No. 9, September 2002, pp. 1123-1131.
IEEE Top Reference. 0301
BibRef

Sonka, M., Grunkin, M.,
Image processing and analysis in drug discovery and clinical trials,
MedImg(21), No. 10, October 2002, pp. 1209-1211.
IEEE Top Reference. 0301
BibRef

Lee, T.Y.[Tong-Yee], Lin, C.H.[Chao-Hung],
Feature-guided shape-based image interpolation,
MedImg(21), No. 12, December 2002, pp. 1479-1489.
IEEE Top Reference. 0301
BibRef

Sporring, J., Niessen, W.J., Weickert, J.,
Growth and motion in three-dimensional medical images,
MedImg(22), No. 6, June 2003, pp. 697-698.
IEEE Abstract. 0308
BibRef

Chbeir, R., Favetta, F.,
A global description of medical imaging with high precision,
SMC-B(33), No. 5, October 2003, pp. 752-757.
IEEE Abstract. 0310
BibRef

Vannier, M.W., Staab, E.V., Clarke, L.P.,
Matching clinical and biological needs with emerging imaging technologies,
PIEEE(91), No. 10, October 2003, pp. 1562-1573.
IEEE DOI 0310
BibRef

Rodin, V., Benzinou, A., Guillaud, A., Ballet, P., Harrouet, F., Tisseau, J., Le Bihan, J.,
An immune oriented multi-agent system for biological image processing,
PR(37), No. 4, April 2004, pp. 631-645.
Elsevier DOI 0403
BibRef

Ning, F., Delhomme, D., Le Cun, Y.L., Piano, F., Bottou, L., Barbano, P.E.,
Toward Automatic Phenotyping of Developing Embryos From Videos,
IP(14), No. 8, August 2005, pp. 1360-1371.
IEEE DOI 0508
BibRef

Deselaers, T.[Thomas], Deserno, T.M.[Thomas M.], Muller, H.[Henning],
Automatic Medical Image Annotation in ImageCLEF 2007: Overview, Results, and Discussion,
PRL(29), No. 15, 1 November 2008, pp. 1988-1995.
Elsevier DOI 0811
Automatic image annotation; Medical images; Benchmark; Evaluation BibRef

Deselaers, T.[Thomas], Müller, H.[Henning], Clough, P.[Paul], Ney, H.[Hermann], Lehmann, T.M.[Thomas M.],
The CLEF 2005 Automatic Medical Image Annotation Task,
IJCV(74), No. 1, August 2007, pp. 51-58.
Springer DOI 0705
Cross-language image retrieval campaign (ImageCLEF). Evaluation. BibRef

Grenander, U.[Ulf], Srivastava, A.[Anuj], Saini, S.[Sanjay],
A Pattern-Theoretic Characterization of Biological Growth,
MedImg(26), No. 5, May 2007, pp. 648-659.
IEEE DOI 0705
BibRef

Srivastava, A.[Anuj], Saini, S.[Sanjay], Ding, Z.H.[Zhao-Hua], Grenander, U.[Ulf],
Maximum-Likelihood Estimation of Biological Growth Variables,
EMMCVPR05(107-118).
Springer DOI 0601
BibRef

Treleaven, P.[Philip], Wells, J.[Jonathan],
3D Body Scanning and Healthcare Applications,
Computer(40), No. 7, July 2007, pp. 28-34.
IEEE DOI 0707
BibRef

Machado, A.M.C.[Alexei Manso Corrêa],
Multiple Testing Correction in Medical Image Analysis,
JMIV(29), No. 2-3, November 2007, pp. 107-117.
Springer DOI 0712
BibRef

Hiruma, T.,
Photonics Technology for Molecular Imaging,
PIEEE(93), No. 4, April 2005, pp. 829-843.
IEEE DOI 0504
BibRef

Ahmed, W.M., Leavesley, S.J., Rajwa, B., Ayyaz, M.N., Ghafoor, A., Robinson, J.P.,
State of the Art in Information Extraction and Quantitative Analysis for Multimodality Biomolecular Imaging,
PIEEE(96), No. 3, March 2008, pp. 512-531.
IEEE DOI 0804
BibRef

Insana, M.F., Wickline, S.A.,
Multimodality Biomolecular Imaging,
PIEEE(96), No. 3, March 2008, pp. 378-381.
IEEE DOI 0804
BibRef

Kumar, V.S.[Vijay S.], Narayanan, S.[Sivaramakrishnan], Kurc, T.[Tahsin], Kong, J.[Jun], Gurcan, M.N.[Metin N.], Saltz, J.H.[Joel H.],
Analysis and Semantic Querying in Large Biomedical Image Datasets,
Computer(41), No. 4, April 2008, pp. 52-59.
IEEE DOI 0804
BibRef

Cui, Y.F.[Yun-Feng], Bai, J.[Jing], Chen, Y.M.[Ying-Mao], Tian, J.H.[Jia-He],
A Digital Model Framework Of Metabolic System Based On Visible Human Data Set,
IJIG(7), No. 1, January 2007, pp. 143-157. 0701
BibRef

Bajla, I.[Ivan], Rublík, F.[František], Arendacká, B.[Barbora], Farkaš, I.[Igor], Hornišová, K.[Klára], Štolc, S.[Svorad], Witkovský, V.[Viktor],
Segmentation and supervised classification of image objects in Epo doping-control,
MVA(20), No. 4, June 2009, pp. xx-yy.
Springer DOI 0904
Identify bands in gel images for doping control analysis. BibRef

Wernick, M.N., Yang, Y., Brankov, J.G., Yourganov, G., Strother, S.C.,
Machine Learning in Medical Imaging,
SPMag(27), No. 4, 2010, pp. 25-38.
IEEE DOI 1007
BibRef

Tustison, N.J., Avants, B.B., Cook, P.A., Zheng, Y.J.[Yuan-Jie], Egan, A., Yushkevich, P.A., Gee, J.C.,
N4ITK: Improved N3 Bias Correction,
MedImg(29), No. 6, June 2010, pp. 1310-1320.
IEEE DOI 1007
Nonparametric Nonuniform Intensity Normalization. Code is available to the public through the Insight Toolkit of the National Institutes of Health.
See also Insight Segmentation and Registration Toolkit (ITK). BibRef

Hu, Z., Shi, P.,
Sensitivity Analysis for Biomedical Models,
MedImg(29), No. 11, November 2010, pp. 1870-1881.
IEEE DOI 1011
To see the effect on the model. BibRef

Hur, W.[Wonchang], Kim, D.S.[Dong-Soo],
The Future of Digital Imaging,
CACM(53), No. 1, January 2010, pp. 131-135.
DOI Link 1101
Traditionally, radiology is a support department that provides imaging services to other hospital departments. In this conventional framework, the primary concerns of a radiology department were how to enhance the productivity BibRef

Niemeijer, M., Loog, M., Abramoff, M.D., Viergever, M.A., Prokop, M., van Ginneken, B.,
On Combining Computer-Aided Detection Systems,
MedImg(30), No. 2, February 2011, pp. 215-223.
IEEE DOI 1102
BibRef

Miwakeichi, F., Oku, Y., Okada, Y., Kawai, S., Tamura, Y., Ishiguro, M.,
Detection and Visualization Method of Dynamic State Transition for Biological Spatio-Temporal Imaging Data,
MedImg(30), No. 3, March 2011, pp. 859-866.
IEEE DOI 1103
BibRef

Savarimuthu, T.R.[Thiusius Rajeeth], Kjær-Nielsen, A.[Anders], Sørensen, A.S.[Anders Stengaard],
Real-time medical video processing, enabled by hardware accelerated correlations,
RealTimeIP(6), No. 3, September 2011, pp. 187-197.
WWW Link. 1108
BibRef

Batmanghelich, N.K.[Nematollah K.], Taskar, B.[Ben], Davatzikos, C.[Christos],
Generative-Discriminative Basis Learning for Medical Imaging,
MedImg(31), No. 1, January 2012, pp. 51-69.
IEEE DOI 1201
BibRef

Batmanghelich, N.K.[Nematollah K.], Gooya, A.[Ali], Kanterakis, S.[Stathis], Taskar, B.[Ben], Davatzikos, C.[Christos],
Application of trace-norm and low-rank matrix decomposition for computational anatomy,
MMBIA10(146-153).
IEEE DOI 1006
BibRef

Nguyen, B.P.[Binh P.], Tay, W.L.[Wei-Liang], Chui, C.K.[Chee-Kong], Ong, S.H.[Sim-Heng],
A clustering-based system to automate transfer function design for medical image visualization,
VC(27), No. 2, February 2011, pp. 181-191.
WWW Link. 1203
BibRef

Cai, L.[Lile], Nguyen, B.P.[Binh P.], Chui, C.K.[Chee-Kong], Ong, S.H.[Sim-Heng],
A two-level clustering approach for multidimensional transfer function specification in volume visualization,
VC(33), No. 2, February 2017, pp. 163-177.
WWW Link. 1702
BibRef

Doinikov, A.A., Aired, L., Bouakaz, A.,
Dynamics of a Contrast Agent Microbubble Attached to an Elastic Wall,
MedImg(31), No. 3, March 2012, pp. 654-662.
IEEE DOI 1203
BibRef

Mishra, S.[Sashikala], Shaw, K.[Kailash], Mishra, D.[Debahuti], Patnaik, S.[Srikanta],
An enhanced classifier fusion model for classifying biomedical data,
IJCVR(3), No. 1-2, 2012, pp. 129-137.
DOI Link 1204
BibRef

Glatard, T., Lartizien, C., Gibaud, B., Ferreira da Silva, R., Forestier, G., Cervenansky, F., Alessandrini, M., Benoit-Cattin, H., Bernard, O., Camarasu-Pop, S., Cerezo, N., Clarysse, P., Gaignard, A., Hugonnard, P., Liebgott, H., Marache, S., Marion, A., Montagnat, J., Tabary, J., Friboulet, D.,
A Virtual Imaging Platform for Multi-Modality Medical Image Simulation,
MedImg(32), No. 1, January 2013, pp. 110-118.
IEEE DOI 1301
BibRef

Simpson, I.J.A., Woolrich, M.W., Andersson, J.L.R., Groves, A.R., Schnabel, J.A.,
Ensemble Learning Incorporating Uncertain Registration,
MedImg(32), No. 4, April 2013, pp. 748-756.
IEEE DOI 1304
BibRef

Fu, H.[Hao], Qiu, G.P.[Guo-Ping], Shu, J.[Jie], Ilyas, M.[Mohammad],
A Novel Polar Space Random Field Model for the Detection of Glandular Structures,
MedImg(33), No. 3, March 2014, pp. 764-776.
IEEE DOI 1404
BibRef
Earlier: A1, A2, A4, A3:
GlandVision: A Novel Polar Space Random Field Model for Glandular Biological Structure Detection,
BMVC12(42).
DOI Link 1301
cancer BibRef

Moon, Y.L.[Young Lae], Sugamoto, K., Paoluzzi, A., di Carlo, A., Kwak, J.[Jaekeun], Shin, D.S.[Dong Sun], Kim, D.O.[Dae Ok], Lee, D.H.[Dae Hyun], Kim, J.Y.[Joo-Young],
Standardizing 3D Medical Imaging,
Computer(47), No. 4, April 2014, pp. 76-79.
IEEE DOI 1405
medical computing BibRef

Alamedine, D., Diab, A., Muszynski, C., Karlsson, B., Khalil, M., Marque, C.,
Selection algorithm for parameters to characterize uterine EHG signals for the detection of preterm labor,
SIViP(8), No. 6, September 2014, pp. 1169-1178.
Springer DOI 1408
BibRef

Bilodeau, G.A.[Guillaume-Alexandre], Desgent, S.[Sébastien], Farah, R.[Rana], Duss, S.[Sandra], Langlois, J.M.P.[J. M. Pierre], Carmant, L.[Lionel],
Body temperature measurement of an animal by tracking in biomedical experiments,
SIViP(9), No. 2, February 2015, pp. 251-259.
Springer DOI 1503
Measure body temperature. BibRef

Nguyen, M.T.[Minh-Tien], Nguyen, T.T.[Tri-Thanh],
DESRM: a disease extraction system for real-time monitoring,
IJCVR(5), No. 3, 2015, pp. 282-301.
DOI Link 1509
Extract infectious disease events in Vietnamese electronic news. Text not image based. BibRef

Clemson, P., Lancaster, G., Stefanovska, A.,
Reconstructing Time-Dependent Dynamics,
PIEEE(104), No. 2, February 2016, pp. 223-241.
IEEE DOI 1601
Biomedical signal processing BibRef

Witzenburg, C.M., Dhume, R.Y., Lake, S.P., Barocas, V.H.,
Automatic Segmentation of Mechanically Inhomogeneous Tissues Based on Deformation Gradient Jump,
MedImg(35), No. 1, January 2016, pp. 29-41.
IEEE DOI 1601
Biological tissues BibRef

Wang, Z., Ding, H., Lu, G., Bi, X.,
Reverse-Time Migration Based Optical Imaging,
MedImg(35), No. 1, January 2016, pp. 273-281.
IEEE DOI 1601
Biomedical optical imaging. modeling the wave propagation inside the media with both forward modeling and reverse-time extrapolation. BibRef

Dong, A., Honnorat, N., Gaonkar, B., Davatzikos, C.,
CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns,
MedImg(35), No. 2, February 2016, pp. 612-621.
IEEE DOI 1602
Atrophy BibRef

Zeng, K., Erus, G.[Guray], Sotiras, A., Shinohara, R.T., Davatzikos, C.[Christos],
Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition,
MedImg(35), No. 8, August 2016, pp. 1937-1951.
IEEE DOI 1608
Biomedical imaging BibRef

Erus, G.[Guray], Zacharaki, E.I.[Evangelia I.], Bryan, N.[Nick], Davatzikos, C.[Christos],
Learning high-dimensional image statistics for abnormality detection on medical images,
MMBIA10(139-145).
IEEE DOI 1006
BibRef

Alvén, J.[Jennifer], Norlén, A.[Alexander], Enqvist, O.[Olof], Kahl, F.[Fredrik],
Überatlas: Fast and robust registration for multi-atlas segmentation,
PRL(80), No. 1, 2016, pp. 249-255.
Elsevier DOI 1609
BibRef
Earlier:
Überatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas Segmentation,
SCIA15(92-102).
Springer DOI 1506
Feature-based registration BibRef

Aranki, D., Kurillo, G., Yan, P., Liebovitz, D.M., Bajcsy, R.,
Real-Time Tele-Monitoring of Patients with Chronic Heart-Failure Using a Smartphone: Lessons Learned,
AffCom(7), No. 3, July 2016, pp. 206-219.
IEEE DOI 1609
Biomedical monitoring BibRef

Anton, D.[David], Kurillo, G.[Gregorij], Yang, A.Y.[Allen Y.], Bajcsy, R.[Ruzena],
Augmented Telemedicine Platform for Real-Time Remote Medical Consultation,
MMMod17(I: 77-89).
Springer DOI 1701
BibRef

Kurillo, G.[Gregorij], Yang, A.Y.[Allen Y.], Shia, V.[Victor], Bair, A.[Aaron], Bajcsy, R.[Ruzena],
New Emergency Medicine Paradigm via Augmented Telemedicine,
VAMR16(502-511).
Springer DOI 1608
BibRef

Smarr, B.L., Burnett, D.C., Mesri, S.M., Pister, K.S.J., Kriegsfeld, L.J.,
A Wearable Sensor System with Circadian Rhythm Stability Estimation for Prototyping Biomedical Studies,
AffCom(7), No. 3, July 2016, pp. 220-230.
IEEE DOI 1609
Biomedical monitoring BibRef

Arias, J.[Jacinto], Martínez-Gómez, J.[Jesus], Gámez, J.A.[Jose A.], de Herrera, A.G.S.[Alba G. Seco], Müller, H.[Henning],
Medical image modality classification using discrete Bayesian networks,
CVIU(151), No. 1, 2016, pp. 61-71.
Elsevier DOI 1610
Medical image analysis. I.e. is it X-ray, gene sequence, etc. BibRef

Feng, Q., Zhou, Y.,
Kernel Combined Sparse Representation for Disease Recognition,
MultMed(18), No. 10, October 2016, pp. 1956-1968.
IEEE DOI 1610
diseases
See also Kernel Regularized Data Uncertainty for Action Recognition. BibRef

Baytas, I.M., Lin, K., Wang, F., Jain, A.K., Zhou, J.,
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records,
MultMed(18), No. 11, November 2016, pp. 2257-2270.
IEEE DOI 1609
data analysis BibRef

Hu, Y.X.[Yu-Xing], Ma, B.[Bozhi], Hao, H.W.[Hong-Wei], Li, L.M.[Lu-Ming],
Intermediate multimedia node: Implantable spinal cord stimulator,
JVCIR(41), No. 1, 2016, pp. 15-20.
Elsevier DOI 1612
Intermediate BibRef

Wang, J.[Jin], She, M.[Mary],
Probabilistic Latent Semantic Analysis for Multichannel Biomedical Signal Clustering,
SPLetters(23), No. 12, December 2016, pp. 1821-1824.
IEEE DOI 1612
medical signal processing. (pLSA) BibRef

Li, X., Jha, A.K., Ghaly, M., Elshahaby, F.E.A., Links, J.M., Frey, E.C.,
Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection Task Performance for Data That are Not Multivariate Normal,
MedImg(36), No. 4, April 2017, pp. 917-929.
IEEE DOI 1704
Computational modeling BibRef

Ko, M.S.[Min-Su], Kim, Y.J.[Yong-Jung],
Resistivity Tensor Imaging via Network Discretization of Faraday's Law,
SIIMS(10), No. 1, 2017, pp. 1-25.
DOI Link 1704
BibRef

Cai, Y.L.[Yun-Liang], Lum, A.[Andrea], Mercado, A.[Ashley], Landis, M.[Mark], Warrington, J.[James], Li, S.[Shuo],
Unsupervised shape discovery using synchronized spectral networks,
PR(69), No. 1, 2017, pp. 39-51.
Elsevier DOI 1706
Spectral synchronization BibRef

Li, S., Lum, A., Brahm, G., Ben Nachum, I., Sharma, M., Shmuilovich, O., Warrington, J.,
A Bag-of-shapes descriptor for medical imaging,
ICIP16(2316-2320)
IEEE DOI 1610
Biomedical imaging BibRef

Zhang, J.[Jing], Lu, S.H.[Song-Han], Wang, X.Z.[Xiang-Zhou], Du, X.H.[Xiao-Hui], Ni, G.M.[Guang-Ming], Liu, J.X.[Juan-Xiu], Liu, L.[Lin], Liu, Y.[Yong],
Automatic identification of fungi in microscopic leucorrhea images,
JOSA-A(34), No. 9, September 2017, pp. 1484-1489.
DOI Link 1709
Image recognition, algorithms and filters, neural networks BibRef

Gupta, S., Loh, K.J.,
Noncontact Electrical Permittivity Mapping and pH-Sensitive Films for Osseointegrated Prosthesis and Infection Monitoring,
MedImg(36), No. 11, November 2017, pp. 2193-2203.
IEEE DOI 1711
Capacitance, Electrodes, Image reconstruction, Inverse problems, Permittivity, Prosthetics, Sensors, Electrical capacitance tomography, infection, nanotube, noncontact, pH sensing, polyaniline, prosthesis, thin, film BibRef

Edwards, J.,
Medical optical imaging: Signal processing leads to new methods of detecting life-threatening situations,
SPMag(34), No. 6, November 2017, pp. 17-20.
IEEE DOI 1712
Special Reports Section. BibRef

Bernal, E.A., Yang, X., Li, Q., Kumar, J., Madhvanath, S., Ramesh, P., Bala, R.,
Deep Temporal Multimodal Fusion for Medical Procedure Monitoring Using Wearable Sensors,
MultMed(20), No. 1, January 2018, pp. 107-118.
IEEE DOI 1801
cameras, health care, image fusion, learning (artificial intelligence), process monitoring, wearable sensors BibRef

Boll, S., Meyer, J., O'Connor, N.E.,
Health Media: From Multimedia Signals to Personal Health Insights,
MultMedMag(25), No. 1, January 2018, pp. 51-60.
IEEE DOI 1804
Biomedical monitoring, Biomedical signal processing, Heart rate, Media, Multimedia communication, Sensors, IoT, Spotlight, health media, personal health BibRef

Nath, S.[Somjit], Sarcar, S.[Subhannita], Chatterjee, B.[Biswendu], Chourashi, R.[Rhishita], Chatterjee, N.S.[Nabendu Sekhar],
Smartphone camera-based analysis of ELISA using artificial neural network,
IET-CV(12), No. 6, September 2018, pp. 826-833.
DOI Link 1808
Detection of disease in the enzyme-linked immunosorbent assay. BibRef

Xu, F., Ji, Z., Chen, Q., Yang, S., Xing, D.,
Nonlinear Thermoacoustic Imaging Based on Temperature-Dependent Thermoelastic Response,
MedImg(38), No. 1, January 2019, pp. 205-212.
IEEE DOI 1901
Microwave imaging, Electromagnetic heating, Microwave amplifiers, Absorption, Microwave measurement, Laser theory, electromagnetic parameters BibRef

Dalca, A.V., Bouman, K.L., Freeman, W.T., Rost, N.S., Sabuncu, M.R., Golland, P.,
Medical Image Imputation From Image Collections,
MedImg(38), No. 2, February 2019, pp. 504-514.
IEEE DOI 1902
Image resolution, Image restoration, Training, Data models, Statistics, Biomedical imaging, brain scans BibRef

Zhao, A.[Amy], Balakrishnan, G.[Guha], Durand, F.[Fredo], Guttag, J.V.[John V.], Dalca, A.V.[Adrian V.],
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation,
CVPR19(8535-8545).
IEEE DOI 2002
BibRef

Seghier, M.L.[Mohamed L.],
Medical imaging: A new era of precision and holistic imaging,
IJIST(29), No. 1, March 2019, pp. 3.
WWW Link. 1902
BibRef

Carneiro, A.C.[Allan C.], Lopes, J.G.F.[José G.F.], Souza, M.M.S.[Marcelo M.S.], Neto, J.F.R.[Jeová F. Rocha], Araújo, F.H.D.[Flávio H.D.], Silva, R.R.V.[Romuere R.V.], Medeiros, F.N.S.[Fátima N.S.], Bezerra, F.N.[Francisco N.],
Parameter optimization of a multiscale descriptor for shape analysis on healthcare image datasets,
PRL(125), 2019, pp. 694-700.
Elsevier DOI 1909
Shape analysis, Multiscale descriptor, Metaheuristic optimization, Clustering validation measures BibRef

Souaidi, M.[Meryem], El Ansari, M.[Mohamed],
Multi-scale analysis of ulcer disease detection from WCE images,
IET-IPR(13), No. 12, October 2019, pp. 2233-2244.
DOI Link 1911
BibRef

Yang, Y.Y.[Yun-Yun], Jia, W.J.[Wen-Jing],
Efficient and robust segmentation and correction model for medical images,
IET-IPR(13), No. 12, October 2019, pp. 2245-2254.
DOI Link 1911
BibRef

Rueckert, D., Schnabel, J.A.,
Model-Based and Data-Driven Strategies in Medical Image Computing,
PIEEE(108), No. 1, January 2020, pp. 110-124.
IEEE DOI 2001
Biomedical imaging, Biological system modeling, Computational modeling, Mathematical model, Data models, machine learning BibRef

Schier, P.[Peter], Liebl, M.[Maik], Steinhoff, U.[Uwe], Handler, M.[Michael], Wiekhorst, F.[Frank], Baumgarten, D.[Daniel],
Optimizing Excitation Coil Currents for Advanced Magnetorelaxometry Imaging,
JMIV(62), No. 2, February 2020, pp. 238-252.
Springer DOI 2002
BibRef

Lee, S.J.[Shin-Jye], Tseng, C.H.[Ching-Hsun], Lin, G.T.R., Yang, Y.[Yun], Yang, P.[Po], Muhammad, K.[Khan], Pandey, H.M.[Hari Mohan],
A dimension-reduction based multilayer perception method for supporting the medical decision making,
PRL(131), 2020, pp. 15-22.
Elsevier DOI 2004
Deep learning, Multilayer perceptron, Weight initialization, Medical decision support BibRef

Stimpel, B., Syben, C., Schirrmacher, F., Hoelter, P., Dörfler, A., Maier, A.,
Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing,
MedImg(39), No. 5, May 2020, pp. 1703-1711.
IEEE DOI 2005
Training, Spatial resolution, Image coding, Convolution, Comprehensible image processing, deep learning, guided filtering, multi-modal imaging BibRef

Lafta, R.[Raid], Zhang, J.[Ji], Tao, X.H.[Xiao-Hui], Zhu, X.D.[Xiao-Dong], Li, H.Z.[Hong-Zhou], Chang, L.[Liang], Deo, R.[Ravinesh],
A general extensible learning approach for multi-disease recommendations in a telehealth environment,
PRL(132), 2020, pp. 106-114.
Elsevier DOI 2005
Dual-Tree complex wavelet transformation, Machine learning ensemble, Recommender system, Telehealth environment BibRef

Rajagopalan, S.[Sundararaman], Poori, S.[Siva], Narasimhan, M.[Mukund], Rethinam, S.[Sivaraman], Kuppusamy, C.V.[Chandrasekar Vallipalayam], Balasubramanian, R.[Ramalingam], Annamalai, V.M.P.[Vijaya Moorthi Paramasivam], Rengarajan, A.[Amirtharajan],
Chua's diode and strange attractor: a three-layer hardware-software co-design for medical image confidentiality,
IET-IPR(14), No. 7, 29 May 2020, pp. 1354-1365.
DOI Link 2005
BibRef

Chen, M.T., Mahmood, F., Sweer, J.A., Durr, N.J.,
GANPOP: Generative Adversarial Network Prediction of Optical Properties From Single Snapshot Wide-Field Images,
MedImg(39), No. 6, June 2020, pp. 1988-1999.
IEEE DOI 2006
Optical imaging, tissue optical properties, neural networks, machine learning, spatial frequency domain imaging BibRef

Cano-Espinosa, C.[Carlos], González, G.[Germán], Washko, G.R.[George R.], Cazorla, M.[Miguel], Estépar, R.S.J.[Raúl San José],
Biomarker Localization From Deep Learning Regression Networks,
MedImg(39), No. 6, June 2020, pp. 2121-2132.
IEEE DOI 2006
Biomarker direct regression, biomarker localization, coronary artery calcification, convolutional neural networks BibRef

Li, Q.[Qing], Li, L.[Lili], Zhong, J.[Jiang], Huang, L.F.[L. Frank],
Real-time sepsis severity prediction on knowledge graph deep learning networks for the intensive care unit,
JVCIR(72), 2020, pp. 102901.
Elsevier DOI 2010
Deep neural networks, Sepsis, Intensive care units, Clinical informatics, Illness severity prediction, Knowledge graph BibRef

Li, X.F.[Xiao-Feng], Jiao, H.S.[Hong-Shuang], Li, D.[Dong],
Intelligent medical heterogeneous big data set balanced clustering using deep learning,
PRL(138), 2020, pp. 548-555.
Elsevier DOI 2010
Deep learning, Smart medical, Heterogeneous big data, Deep neural network, Data balanced clustering BibRef

Dai, Y.L.[Ying-Long], Wang, G.J.[Guo-Jun],
A deep inference learning framework for healthcare,
PRL(139), 2020, pp. 17-25.
Elsevier DOI 2011
Healthcare, Dynamical process, Closed loop, Deep learning, Bayesian inference graphs BibRef

Olefir, I., Tzoumas, S., Restivo, C., Mohajerani, P., Xing, L., Ntziachristos, V.,
Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation,
MedImg(39), No. 11, November 2020, pp. 3643-3654.
IEEE DOI 2011
Optical imaging, Computational modeling, Biomedical optical imaging, Computer architecture, deep neural networks BibRef

Edwards, J.,
Signal Processing Advances the Quest for Better and Safer Medical Imaging: Imaging Breakthroughs Are Saving Lives By Giving Radiologists and Physicians Sharper and Safer Views Inside the Human Body,
SPMag(38), No. 1, January 2021, pp. 11-14.
IEEE DOI 2012
[Special Reports] Visualization, Computed tomography, X-rays, Signal processing, Positron emission tomography, X-ray imaging, Biomedical imaging BibRef

Biscornet, L.[Leon], Révillion, C.[Christophe], Jégo, S.[Sylvaine], Lagadec, E.[Erwan], Gomard, Y.[Yann], Le Minter, G.[Gildas], Rocamora, G.[Gérard], Guernier-Cambert, V.[Vanina], Mélade, J.[Julien], Dellagi, K.[Koussay], Tortosa, P.[Pablo], Herbreteau, V.[Vincent],
Predicting the Presence of Leptospires in Rodents from Environmental Indicators Opens Up Opportunities for Environmental Monitoring of Human Leptospirosis,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Lago, M.A., Abbey, C.K.[Craig K.], Eckstein, M.P.[Miguel P.],
Foveated Model Observers for Visual Search in 3D Medical Images,
MedImg(40), No. 3, March 2021, pp. 1021-1031.
IEEE DOI 2103
Visualization, Observers, Task analysis, Solid modeling, visual periphery BibRef

Guo, K.[Kehua], Luo, T.[Tao], Bhuiyan, M.Z.A.[Md Zakirul Alam], Ren, S.[Sheng], Zhang, J.[Jian], Zhou, D.[Di],
Zero shot augmentation learning in internet of biometric things for health signal processing,
PRL(146), 2021, pp. 142-149.
Elsevier DOI 2105
Internet of biometric things, Zero shot learning, Data augmentation, Health signal processing BibRef

Makkapati, V.V.[Vishnu V.], Raikar, A., Ulman, S.,
System and Method to Selectively Illuminate An Infant During Phototherapy,
US_Patent9,776,016, October 3, 2017.
WWW Link. BibRef 1710

Arridge, S.R.[Simon R.], Ehrhardt, M.J.[Matthias J.], Thielemans, K.[Kris],
(An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods,
Royal(A: 379), No. 2200, June 2021, pp. 20200205.
DOI Link 2107
BibRef

Badr, E.[Eman],
Images in Space and Time: Real Big Data in Healthcare,
Surveys(54), No. 6, July 2021, pp. xx-yy.
DOI Link 2108
Medical imaging, radiomics, convolution neural networks BibRef

Zhao, H.[He], Li, Y.X.[Yue-Xiang], He, N.J.[Nan-Jun], Ma, K.[Kai], Fang, L.Y.[Le-Yuan], Li, H.Q.[Hui-Qi], Zheng, Y.F.[Ye-Feng],
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features,
MedImg(40), No. 12, December 2021, pp. 3641-3651.
IEEE DOI 2112
Image reconstruction, Feature extraction, Anomaly detection, Task analysis, Biomedical imaging, Training, Deep learning, generative adversarial networks BibRef

Liu, J.R.[Jia-Run], Li, R.R.[Rui-Rui], Sun, C.[Chuan],
Co-Correcting: Noise-Tolerant Medical Image Classification via Mutual Label Correction,
MedImg(40), No. 12, December 2021, pp. 3580-3592.
IEEE DOI 2112

WWW Link. Biomedical imaging, Noise measurement, Deep learning, Training, Task analysis, Reliability, Probabilistic logic, Mutual learning, medical image classification BibRef

Kragh, M.F.[Mikkel F.], Rimestad, J.[Jens], Lassen, J.T.[Jacob T.], Berntsen, J.[Jørgen], Karstoft, H.[Henrik],
Predicting Embryo Viability Based on Self-Supervised Alignment of Time-Lapse Videos,
MedImg(41), No. 2, February 2022, pp. 465-475.
IEEE DOI 2202
Embryo, Videos, Pregnancy, Task analysis, Annotations, Supervised learning, Manuals, Clustering, embryo selection, temporal cycle-consistency BibRef

Uhlmann, V.[Virginie], Donati, L.[Laurène], Sage, D.[Daniel],
A Practical Guide to Supervised Deep Learning for Bioimage Analysis: Challenges and good practices,
SPMag(39), No. 2, March 2022, pp. 73-86.
IEEE DOI 2203
Deep learning, Analytical models, Biological system modeling, Tutorials, Bioinformatics, Biomedical imaging BibRef

Zia, T.[Tehseen], Murtaza, S.[Shakeeb], Bashir, N.[Nauman], Windridge, D.[David], Nisar, Z.[Zeeshan],
VANT-GAN: Adversarial Learning for Discrepancy-Based Visual Attribution in Medical Imaging,
PRL(156), 2022, pp. 112-118.
Elsevier DOI 2205
Visual Attribution, Domain Translation, Alzheimer, Generative Adversarial Networks BibRef

Salcudean, S.E.[Septimiu E.], Moradi, H.[Hamid], Black, D.G.[David G.], Navab, N.[Nassir],
Robot-Assisted Medical Imaging: A Review,
PIEEE(110), No. 7, July 2022, pp. 951-967.
IEEE DOI 2206
Medical robotics, Ultrasonic imaging, Biomedical image processing, Biomedical imaging, Transducers, telerobotics BibRef

Wang, F.[Fuyu], Liang, X.D.[Xiao-Dan], Xu, L.[Lin], Lin, L.[Liang],
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition,
Cyber(52), No. 6, June 2022, pp. 5015-5025.
IEEE DOI 2207
Visualization, Medical diagnostic imaging, Semantics, Task analysis, Feature extraction, Generators, natural language processing BibRef

Bayari, P.V.B.[Parkala Vishnu Bharadwaj], Lakshman, A.[Apoorva], Bhatnagar, G.[Gaurav], Chattopadhyay, C.[Chiranjoy],
A Novel Security Framework for Medical Data in IoT Ecosystems,
MultMedMag(29), No. 2, April 2022, pp. 34-44.
IEEE DOI 2208
Encryption, Cryptography, Security, Chaotic communication, Medical diagnostic imaging, Mathematical models, Biomedical imaging BibRef

Hao, Y.R.[Yan-Rong], Li, Y.H.[Yong-Hui], Li, J.X.[Jian-Xiu], Peng, H.[Hong], Zhao, Q.L.[Qing-Lin], Hu, B.[Bin],
Abnormal Attentional Bias of Non-Drug Reward in Abstinent Heroin Addicts: An ERP Study,
AffCom(13), No. 3, July 2022, pp. 1664-1676.
IEEE DOI 2209
Task analysis, Drugs, Shape, Visualization, Color, Training, Resource management, Abstinent heroin addict, attentional bias, reward BibRef

Legouhy, A.[Antoine], Rousseau, F.[François], Barillot, C.[Christian], Commowick, O.[Olivier],
An Iterative Centroid Approach for Diffeomorphic Online Atlasing,
MedImg(41), No. 9, September 2022, pp. 2521-2531.
IEEE DOI 2209
Iterative methods, Computational efficiency, Databases, Computational modeling, Statistics, Sociology, Shape, Atlasing, online, iterative centroid BibRef

Juhola, M.[Martti], Joutsijoki, H.[Henry], Penttinen, K.[Kirsi], Shah, D.[Disheet], Aalto-Setälä, K.[Katriina],
A method to measure data complexity of a complicated medical data set,
IJIST(32), No. 6, 2022, pp. 1822-1831.
DOI Link 2212
calcium transient signals, classification, data complexity, genetic cardiac cardiomyocytes, machine learning BibRef

Zhu, J.J.[Jia-Jing], Liu, Y.G.[Yong-Guo], Zhang, Y.[Yun], Chen, Z.[Zhi], Wu, X.D.[Xin-Dong],
Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction,
PAMI(44), No. 12, December 2022, pp. 10129-10144.
IEEE DOI 2212
Drugs, Biochemistry, Predictive models, Feature extraction, Representation learning, Convolutional neural networks BibRef

Dinh, P.H.[Phu-Hung], Giang, N.L.[Nguyen Long],
A new medical image enhancement algorithm using adaptive parameters,
IJIST(32), No. 6, 2022, pp. 2198-2218.
DOI Link 2212
CLAHE, image enhancement, LED, MPA, STS BibRef

Yang, Q.[Qing], Yan, Q.Y.[Qing-Yuan], Zhang, W.[Wuxia], Hao, M.Y.[Ma-Yang], Chen, H.[Hao],
Deep feature enhancement and Xgboost network for multi-organ classification,
IJIST(32), No. 6, 2022, pp. 1928-1940.
DOI Link 2212
dual-core convolutional neural networks, feature fusion, medical images, multi-level semantic features, multi-organ classification BibRef

Alamir, M.[Manal], Alghamdi, M.[Manal],
The Role of Generative Adversarial Network in Medical Image Analysis: An In-Depth Survey,
Surveys(55), No. 5, May 2023, pp. xx-yy.
DOI Link 2212
medical image analysis, Generative adversarial network, computer vision BibRef

Guo, W.[Wei], Liu, S.J.[Shi-Jie], Gong, Z.X.[Zhao-Xuan], Zhang, G.D.[Guo-Dong], Jiang, X.[Xiran],
Cascaded Networks for the Embryo Classification on Microscopic Images Using the Residual External-Attention,
IJIST(33), No. 1, 2023, pp. 312-322.
DOI Link 2301
cascaded networks, embryo classification, microscopic images, residual external-attention BibRef

Yang, Y.[Yan], Yu, J.[Jun], Zhang, J.[Jian], Han, W.D.[Wei-Dong], Jiang, H.[Hanliang], Huang, Q.M.[Qing-Ming],
Joint Embedding of Deep Visual and Semantic Features for Medical Image Report Generation,
MultMed(25), 2023, pp. 167-178.
IEEE DOI 2301
Visualization, Medical diagnostic imaging, Semantics, Feature extraction, Encoding, Decoding, Task analysis, deep neural network BibRef

Shakir, M.[Muhammad], Karim, S.[Shahid], Saeed, M.I.[Muhammad Imran], Mustafa, H.[Halar], Memon, S.[Shahzor], Kazmi, S.A.[Syed Abbad],
IoT-based real time clinical healthcare system for aging and underprivileged areas,
IJCVR(13), No. 2, 2023, pp. 186-201.
DOI Link 2303
BibRef

Zhang, Q.Q.[Qing-Qing], Zhang, S.W.[Shao-Wu], Feng, Y.H.[Yue-Hua], Shi, J.Y.[Jian-Yu],
Few-Shot Drug Synergy Prediction With a Prior-Guided Hypernetwork Architecture,
PAMI(45), No. 8, August 2023, pp. 9709-9725.
IEEE DOI 2307
Drugs, Task analysis, Computer architecture, Microprocessors, Predictive models, Cancer, Bayes methods, hypernetwork BibRef

Kathiravelu, P.[Pradeeban], Li, N.[Nan], Singi, N.[Nishchal], Bhimireddy, A.R.[Ananth Reddy], Birmingham, R.[Ryan], Gichoya, J.W.[Judy Wawira], Trivedi, H.[Hari], Safdar, N.[Nabile], Sharma, A.[Ashish], Sharma, P.[Puneet],
Visualizing Scanner Utilization From MRI Metadata and Clinical Data,
Computer(56), No. 8, August 2023, pp. 68-76.
IEEE DOI 2308
Visualization, Magnetic resonance imaging, Data visualization, Metadata, Real-time systems, DICOM, Medical services, Digital images BibRef

Tang, H.D.[Hui-Dong], Li, C.[Chen], Jiang, S.[Shuai], Yu, H.[Huachong], Kamei, S.[Sayaka], Yamanishi, Y.[Yoshihiro], Morimoto, Y.[Yasuhiko],
EarlGAN: An enhanced actor-critic reinforcement learning agent-driven GAN for de novo drug design,
PRL(175), 2023, pp. 45-51.
Elsevier DOI 2311
drug design, Generative adversarial networks, Actor-critic reinforcement learning, Visualization analysis BibRef

Song, W.F.[Wen-Feng], Hou, X.[Xia], Li, S.[Shuai], Chen, C.L.Z.[Cheng-Li-Zhao], Gao, D.Y.[Dan-Yang], Wang, X.[Xian'e], Sun, Y.Z.[Yu-Zhe], Hou, J.X.[Jian-Xia], Hao, A.[Aimin],
An Intelligent Virtual Standard Patient for Medical Students Training Based on Oral Knowledge Graph,
MultMed(25), 2023, pp. 6132-6145.
IEEE DOI 2311
BibRef

Nguyen, H.H.[Huy Hoang], Blaschko, M.B.[Matthew B.], Saarakkala, S.[Simo], Tiulpin, A.[Aleksei],
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data,
MedImg(43), No. 1, January 2024, pp. 529-541.
IEEE DOI Code:
WWW Link. 2401
BibRef

Zheng, F.[Fudan], Cao, J.D.[Jin-Dong], Yu, W.J.[Wei-Jiang], Chen, Z.G.[Zhi-Guang], Xiao, N.[Nong], Lu, Y.T.[Yu-Tong],
Exploring low-resource medical image classification with weakly supervised prompt learning,
PR(149), 2024, pp. 110250.
Elsevier DOI 2403
Medical image classification, Weakly supervised learning, Prompt learning, Few-shot learning, Zero-shot learning BibRef

Murali, A.[Aditya], Alapatt, D.[Deepak], Mascagni, P.[Pietro], Vardazaryan, A.[Armine], Garcia, A.[Alain], Okamoto, N.[Nariaki], Mutter, D.[Didier], Padoy, N.[Nicolas],
Latent Graph Representations for Critical View of Safety Assessment,
MedImg(43), No. 3, March 2024, pp. 1247-1258.
IEEE DOI 2403
Surgery, Annotations, Task analysis, Visualization, Image segmentation, Image reconstruction, Semantics, Scene graphs, critical view of safety BibRef

Guo, J.[Jia], Lu, S.[Shuai], Jia, L.[Lize], Zhang, W.[Weihang], Li, H.Q.[Hui-Qi],
Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images,
MedImg(43), No. 3, March 2024, pp. 1102-1112.
IEEE DOI Code:
WWW Link. 2403
Image reconstruction, Feature extraction, Biomedical imaging, Training, Decoding, Anomaly detection, anomaly localization BibRef

Lu, S.[Shuai], Zhang, W.H.[Wei-Hang], Zhao, H.[He], Liu, H.R.[Han-Ruo], Wang, N.L.[Ning-Li], Li, H.Q.[Hui-Qi],
Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder,
IP(33), 2024, pp. 2770-2782.
IEEE DOI 2404
Image reconstruction, Anomaly detection, Decoding, Transformers, Medical diagnostic imaging, Noise, Magnetic resonance imaging, heterogeneous network BibRef

Chen, L.F.[Li-Fang], Wang, S.[Shanglai], Wan, L.[Li], Su, J.[Jianghu], Wang, S.[Shunfeng],
GFRNet: Rethinking the global contexts extraction in medical images segmentation through matrix factorization and self-attention,
IET-CV(18), No. 2, 2024, pp. 260-272.
DOI Link 2403
image segmentation, matrix decomposition, medical image processing BibRef

Penso, C.[Coby], Frenkel, L.[Lior], Goldberger, J.[Jacob],
Confidence Calibration of a Medical Imaging Classification System That is Robust to Label Noise,
MedImg(43), No. 6, June 2024, pp. 2050-2060.
IEEE DOI 2406
Calibration, Noise measurement, Training, Medical diagnostic imaging, Predictive models, Noise level, temperature scaling BibRef

Lee, K.[Kangbok], Han, S.[Sumin], Baik, H.[Hyeoncheol], Jeong, Y.[Yeasung], Park, Y.W.[Young Woong],
Observation weights matching approach for causal inference,
PR(154), 2024, pp. 110549.
Elsevier DOI 2406
Ensemble learning, LogitBoost, AdaBoost, Overlapping regions, Observation weights, Propensity score matching BibRef

Ma, H.P.[Hai-Ping], Yao, J.[Jiuyi], Huang, J.Y.[Ji-Yuan], Zhang, W.J.[Wei-Jia], Jiang, Z.[Zheheng],
Temporal-Spatial Conversion Based Sequential Convolutional LSTM Architecture for Detecting Drug Addiction,
SPLetters(31), 2024, pp. 1785-1789.
IEEE DOI 2408
Electroencephalography, Feature extraction, Convolution, Long short term memory, Time series analysis, temporal-spatial conversion BibRef

Kim, T.[Taejune], Lee, Y.G.[Yun-Gyoo], Jeong, I.H.[In-Ho], Ham, S.Y.[Soo-Youn], Woo, S.S.[Simon S.],
Patch-wise vector quantization for unsupervised medical anomaly detection,
PRL(184), 2024, pp. 205-211.
Elsevier DOI 2408
Anomaly detection, Representation learning, Medical imaging BibRef

Li, T.B.[Teng-Biao], Qiao, J.S.[Jun-Sheng],
A novel q-rung orthopair fuzzy MAGDM method for healthcare waste treatment based on three-way decisions,
PR(157), 2025, pp. 110867.
Elsevier DOI 2409
Multi-attribute group decision-making, q-Rung orthopair fuzzy sets, Three-way decisions, Cross entropy BibRef

Hua, Y.[Yang], Feng, Z.H.[Zhen-Hua], Song, X.N.[Xiao-Ning], Wu, X.J.[Xiao-Jun], Kittler, J.V.[Josef V.],
MMDG-DTI: Drug-target interaction prediction via multimodal feature fusion and domain generalization,
PR(157), 2025, pp. 110887.
Elsevier DOI Code:
WWW Link. 2409
Drug-target interaction, Multimodal feature fusion, Domain Generalization BibRef

Zhang, N.[Nan], Huang, T.Q.[Tian-Qi], Liao, H.[Hongen],
ARMedicalSketch: Exploring 3D Sketching for Medical Image Using True 2D-3D Interlinked Visualization and Interaction,
HMS(54), No. 5, October 2024, pp. 589-598.
IEEE DOI 2410
Biomedical imaging, Medical diagnostic imaging, Rendering (computer graphics), Image color analysis, human-computer interaction BibRef

Xie, Y.T.[Yu-Tong], Zhang, J.P.[Jian-Peng], Xia, Y.[Yong], Wu, Q.[Qi],
UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data,
PAMI(46), No. 12, December 2024, pp. 10021-10035.
IEEE DOI 2411
BibRef
Earlier:
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier,
ECCV22(XXI:558-575).
Springer DOI 2211
Task analysis, Medical diagnostic imaging, Computed tomography, X-ray imaging, Transformers, Solid modeling, universal learning BibRef

Ye, Y.W.[Yi-Wen], Xie, Y.T.[Yu-Tong], Zhang, J.P.[Jian-Peng], Chen, Z.Y.[Zi-Yang], Wu, Q.[Qi], Xia, Y.[Yong],
Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning,
CVPR24(11114-11124)
IEEE DOI Code:
WWW Link. 2410
Representation learning, Continuing education, Training, Pathology, Scalability, Magnetic resonance imaging, X-rays, Medical image analysis BibRef

Meher, B.K.[Bimal Kumar], Amin, R.[Ruhul], Abdussami, M.[Mohammad], Sureshkumar, V.[Venkatasamy], Hossain, M.A.[Md Ajaharul],
Efficient Certificateless Anonymous Mutual Authentication in WBANs for Smart Healthcare,
ITS(25), No. 11, November 2024, pp. 17666-17675.
IEEE DOI 2411
Authentication, Protocols, Wireless communication, Body area networks, Medical services, Generators, Elliptic curves, bilinear pairing BibRef

Zhang, Z.Z.[Ze-Zong], Tang, J.[Jianeng], Zhang, F.[Feng], Huang, T.T.[Ting-Ting], Lu, M.S.[Ming-Sheng],
Medical Image Encryption Based on Josephus Scrambling and Dynamic Cross-Diffusion for Patient Privacy Security,
CirSysVideo(34), No. 10, October 2024, pp. 9250-9263.
IEEE DOI 2411
Encryption, Medical diagnostic imaging, Medical services, Privacy, Chebyshev approximation, Reviews, smart healthcare BibRef

Chen, L.[Long], Song, L.[Li], Feng, H.[Haiyu], Zeru, R.T.[Rediet Tesfaye], Chai, S.[Senchun], Zhu, E.[Enjun],
Privacy-SF: An encoding-based privacy-preserving segmentation framework for medical images,
IVC(151), 2024, pp. 105246.
Elsevier DOI 2411
Medical images, MRI, X-ray, Privacy-preserving, Segmentation BibRef

Cai, L.Q.[Lin-Qin], Fang, H.[Haodu], Xu, N.[Nuoying], Ren, B.[Bo],
Counterfactual Causal-Effect Intervention for Interpretable Medical Visual Question Answering,
MedImg(43), No. 12, December 2024, pp. 4430-4441.
IEEE DOI 2412
Feature extraction, Task analysis, Cognition, Visualization, Medical diagnostic imaging, Training, Predictive models, causal-effect intervention BibRef

Mei, X.[Xin], Yang, L.[Libin], Gao, D.[Denghong], Cai, X.Y.[Xiao-Yan], Han, J.W.[Jun-Wei], Liu, T.M.[Tian-Ming],
PhraseAug: An Augmented Medical Report Generation Model With Phrasebook,
MedImg(43), No. 12, December 2024, pp. 4211-4223.
IEEE DOI 2412
Medical diagnostic imaging, Feature extraction, Writing, Visualization, History, Diseases, Semantics, deep learning BibRef

Wang, P.Y.[Peng-Yu], Zhang, H.Q.[Hua-Qi], Yuan, Y.X.[Yi-Xuan],
MCPL: Multi-Modal Collaborative Prompt Learning for Medical Vision-Language Model,
MedImg(43), No. 12, December 2024, pp. 4224-4235.
IEEE DOI Code:
WWW Link. 2412
Task analysis, Collaboration, Adaptation models, Medical diagnostic imaging, Pipelines, Computational modeling, medical reports and images BibRef

Schall, B.[Baptiste], Anty, R.[Rodolphe], Fillatre, L.[Lionel],
One-Hot Logistic Regression for Radiomics-Based Classification,
ICIP24(3192-3198)
IEEE DOI 2411
Logistic regression, Machine learning algorithms, Linearity, Machine learning, Biomarkers, Reliability theory, Radiomics BibRef

Jing, Z.Y.[Zhong-Yuan], Xiang, H.Y.[Hong-Yan], Wang, R.[Ruyan],
FEDMI: A Federated Learning Framewoek for Secure Sharing of Medical Images,
ICIP24(3105-3111)
IEEE DOI 2411
Training, Differential privacy, Privacy, Federated learning, Generative adversarial networks, Data models, Servers, Differential privacy BibRef

Wu, L.S.[Lin-Shan], Zhuang, J.X.[Jia-Xin], Chen, H.[Hao],
VoCo: A Simple-Yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis,
CVPR24(22873-22882)
IEEE DOI Code:
WWW Link. 2410
Image analysis, Codes, Semantics, Crops, Contrastive learning, Self-Supervised Learning, Medical image analysis, contrastive learning BibRef

Fan, J.A.[Jian-An], Liu, D.[Dongnan], Chang, H.[Hang], Huang, H.[Heng], Chen, M.[Mei], Cai, W.D.[Wei-Dong],
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling,
CVPR24(11524-11534)
IEEE DOI 2410
Protocols, Phenotypes, Computational modeling, Layout, Taxonomy, Semantics, Machine learning BibRef

Imane, A.[Aitouhanni], Amine, B.[Berqia],
SolvPredict: A Comprehensive Exploration of Predictive Models for Molecule Solubility,
ISCV24(1-8)
IEEE DOI 2408
Support vector machines, Drugs, Linear regression, Predictive models, Boosting, Libraries, Machine learning, Artificial Intelligence BibRef

Jiang, Y.K.[Yan-Kai], Sun, M.Z.[Ming-Ze], Guo, H.[Heng], Bai, X.Y.[Xiao-Yu], Yan, K.[Ke], Lu, L.[Le], Xu, M.F.[Min-Feng],
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis,
ICCV23(15813-15823)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zhang, C.L.[Cheng-Lei], Liu, J.J.[Jia-Jia], Zhang, Y.N.[Yi-Ning], Yang, K.[Kang],
Research on Weighted Association Rules Mining Algorithm for the Medical Internet of Things Information Based on Fuzzy Numerical Constraints,
ICIVC22(921-927)
IEEE DOI 2301
Industries, Automation, Itemsets, Databases, Data acquisition, Medical services, Communications technology, component, fuzzy numerical constraints BibRef

Wang, J.J.[Jian-Jia], Guo, C.[Cheng], Wu, X.[Xing],
Predicting Drug-Drug Interactions with Graph Attention Network,
ICPR22(4953-4959)
IEEE DOI 2212
Drugs, Training, Prediction methods, Clinical trials, Feature extraction, Prediction algorithms, Data mining BibRef

Zhang, H.[Han], Lui, L.M.[Lok Ming],
Nondeterministic Deformation Analysis Using Quasiconformal Geometry,
ICIP22(1616-1620)
IEEE DOI 2211
Geometry, Uncertainty, Image analysis, Shape, Predictive models, Probability distribution, Non-deterministic, medical image analysis BibRef

Pasini, G.[Giovanni], Bini, F.[Fabiano], Russo, G.[Giorgio], Marinozzi, F.[Franco], Stefano, A.[Alessandro],
matRadiomics: From Biomedical Image Visualization to Predictive Model Implementation,
AIRCAD22(374-385).
Springer DOI 2208
Tool to extract features. BibRef

Trenta, F.[Francesca], Battiato, S.[Sebastiano], Ravì, D.[Daniele],
An Explainable Medical Imaging Framework for Modality Classifications Trained Using Small Datasets,
CIAP22(I:358-367).
Springer DOI 2205
BibRef

Zhou, Y.[Yi], Huang, L.[Lei], Zhou, T.[Tao], Fu, H.Z.[Hua-Zhu], Shao, L.[Ling],
Visual-Textual Attentive Semantic Consistency for Medical Report Generation,
ICCV21(3965-3974)
IEEE DOI 2203
Radiography, Visualization, Semantics, MIMICs, Predictive models, Feature extraction, Decoding, Medical, biological, Vision + language BibRef

Rougaii, F., Mazri, T.,
Secure Medical Image Encryption for Remote Virtual Doctor System Based On H-IoT Applications Over 5G Network: a Comparison Study,
SmartCityApp21(457-463).
DOI Link 2201
BibRef

Chin, J.W.[Jing Wei], Wong, K.L.[Kwan Long], Chan, T.T.[Tsz Tai], Suhartono, K.[Kristian], So, R.H.Y.[Richard H.Y.],
An Infrared Thermography Model Enabling Remote Body Temperature Screening Up to 10 Meters,
CVPM21(3870-3876)
IEEE DOI 2109
Temperature measurement, Temperature sensors, Temperature, Protocols, Sensitivity analysis, Pose estimation, Thermal lensing BibRef

Zhou, Z.[ZhiWei], Han, X.[Xi], Xi, T.[Tao],
The Design of Outpatient Services in Children's Hospitals Based on the Double Diamond Model,
DHM21(II:182-193).
Springer DOI 2108
BibRef

Sorge, M.[Mareike], Mayer, C.[Christina], Schöner, J.[Judith], Kummer, R.[Robert], Rentzsch, M.[Melanie],
Requirements for a Game-Based Approach to Strengthen Leadership in Health Care,
DHM21(II:152-164).
Springer DOI 2108
BibRef

Fang, K.[Kun], Yu, W.[Wei],
Research on Social Innovation Design of SCD Pre-hospital Emergency Equipment Based on IoT Technology,
DHM21(II:28-39).
Springer DOI 2108
BibRef

Bacchin, D.[Davide], Pluchino, P.[Patrik], Orso, V.[Valeria], Sardena, M.[Marcello], Malvestio, M.[Marino], Gamberini, L.[Luciano],
Development and Testing of a Usability Checklist for the Evaluation of Control Interfaces of Electrical Medical Beds,
DHM21(II:3-19).
Springer DOI 2108
BibRef

Zhang, X.Y.[Xin-Yue], Ding, J.H.[Jia-Hao], Wu, M.Q.[Mao-Qiang], Wong, S.T.C.[Stephen T. C.], Van Nguyen, H.[Hien], Pan, M.[Miao],
Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data,
WACV21(1168-1177)
IEEE DOI 2106
Deep learning, Training, Radiography, Privacy, Adaptation models, Sensitivity, Neural networks BibRef

Giannakeris, P.[Panagiotis], Tsanousa, A.[Athina], Mavropoulos, T.[Thanasis], Meditskos, G.[Georgios], Ioannidis, K.[Konstantinos], Vrochidis, S.[Stefanos], Kompatsiaris, I.[Ioannis],
Fusion of Multimodal Sensor Data for Effective Human Action Recognition in the Service of Medical Platforms,
MMMod21(II:367-378).
Springer DOI 2106
BibRef

Dehzangi, O.[Omid], Shokouhmand, A.[Arash], Jeihouni, P.[Paria], Ramadan, J.[Jad], Finomore, V.[Victor], Nasrabadi, N.M.[Nasser M.], Rezai, A.[Ali],
XGBoost to Interpret the Opioid Patients' State Based on Cognitive and Physiological Measures,
ICPR21(6391-6395)
IEEE DOI 2105
Patient monitoring, Sociology, Focusing, Noise measurement, Statistics, Heart rate variability BibRef

Cancilla, M.[Michele], Canalini, L.[Laura], Bolelli, F.[Federico], Allegretti, S.[Stefano], Carrión, S.[Salvador], Paredes, R.[Roberto], Gómez, J.A.[Jon A.], Leo, S.[Simone], Piras, M.E.[Marco Enrico], Pireddu, L.[Luca], Badouh, A.[Asaf], Marco-Sola, S.[Santiago], Alvarez, L.[Lluc], Moreto, M.[Miquel], Grana, C.[Costantino],
The DeepHealth Toolkit: A Unified Framework to Boost Biomedical Applications,
ICPR21(9881-9888)
IEEE DOI 2105
Deep learning, Training, Cloud computing, Pipelines, Neural networks, Writing BibRef

Roychowdhury, S.[Sohini],
Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images,
ICPR21(4581-4588)
IEEE DOI 2105
Solid modeling, Pathology, Quality assurance, Annotations, Standardization, confidence score BibRef

Tsang, G.[Gavin], Xie, X.H.[Xiang-Hua],
Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset,
ICPR21(8671-8678)
IEEE DOI 2105
Training, Deep learning, Electric shock, Computational modeling, Sociology, Fasteners, Predictive models, Deep Learning, Sepsis BibRef

Dagnew, T.M.[Tewodros M.], Silvestri, C.[Claudio], Slanzi, D.[Debora], Poli, I.[Irene],
A Neural Network Model for Lead Optimization of MMP12 Inhibitors,
HCAU20(323-335).
Springer DOI 2103
Large number of interacting entities give rise to molecular structures whose properties should be optimized in order to be considered for drug development. BibRef

Ferreira, A.[André], Madeira, S.C.[Sara C.], Gromicho, M.[Marta], de Carvalho, M.[Mamede], Vinga, S.[Susana], Carvalho, A.M.[Alexandra M.],
Predictive Medicine Using Interpretable Recurrent Neural Networks,
AIHA20(187-202).
Springer DOI 2103
BibRef

Zeman, A.[Astrid], Maerten, A.S.[Anne-Sofie], Mengels, A.[Annemie], Sharon, L.F.[Lie Fong], Spiessens, C.[Carl], de Beeck, H.O.[Hans Op],
Deep Learning for Human Embryo Classification at the Cleavage Stage (day 3),
AIHA20(278-292).
Springer DOI 2103
BibRef

Dong, S.F.[Shi-Feng], Zhang, S.Y.[Sheng-Yu], Jiao, L.[Lin], Wang, Q.J.[Qi-Jin],
Automatic Urinary Sediments Visible Component Detection Based on Improved YOLO Algorithm,
CVIDL20(485-490)
IEEE DOI 2102
feature extraction, image fusion, learning (artificial intelligence), medical image processing, Urinary sediments visible component BibRef

Cai, Y., Dong, Q., Li, A.,
Application and research progress of machine learning in Bioinformatics,
CVIDL20(369-374)
IEEE DOI 2102
bioinformatics, learning (artificial intelligence), neural nets, human learning behavior, bioinformatics, computer science, cluster. BibRef

Ma, J.[Jie], Yi, H.M.[Hui-Ming], Chen, Y.Z.[Yi-Zhuo],
Research on Ordering Recommendation System of Traditional Chinese Medical Health Preserving Ontology Model based on Context-aware Environment,
CVIDL20(629-632)
IEEE DOI 2102
medical information systems, natural language processing, ontologies (artificial intelligence), recommender systems, rules BibRef

Ma, J.[Jie], Yi, H.M.[Hui-Ming], Huang, H.[Hao],
Design and Implementation of a Mobile Context-aware Model of Traditional Chinese Medical Health Preserving Based on Ontology,
CVIDL20(625-628)
IEEE DOI 2102
Global Positioning System, health care, medical information systems, mobile computing, Model BibRef

Nagoor, O.H., Whittle, J., Deng, J., Mora, B., Jones, M.W.,
MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM),
ICPR21(2874-2881)
IEEE DOI 2105
BibRef
Earlier:
Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local Sampling,
ICIP20(2815-2819)
IEEE DOI 2011
Solid modeling, Image coding, Recurrent neural networks, Magnetic resonance imaging, Predictive models. Neural networks, Training, Biomedical imaging, Solid modeling, Predictive models BibRef

Prokopetc, K., Dupont, R.,
Towards Dense 3D Reconstruction for Mixed Reality in Healthcare: Classical Multi-View Stereo vs Deep Learning,
3D-Wild19(2061-2069)
IEEE DOI 2004
computer based training, geometry, image reconstruction, learning (artificial intelligence), mixed reality BibRef

Müller, H.[Henning], Andrearczyk, V.[Vincent], del Toro, O.J.[Oscar Jimenez], Dhrangadhariya, A.[Anjani], Schaer, R.[Roger], Atzori, M.[Manfredo],
Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction,
MMMod20(II:553-564).
Springer DOI 2003
BibRef

Gutierrez, E.[Evelyn], Castañeda, B.[Benjamin], Treuillet, S.[Sylvie],
Correction of Temperature Estimated from a Low-cost Handheld Infrared Camera for Clinical Monitoring,
ACIVS20(108-116).
Springer DOI 2003
BibRef

Liu, Z.[Zihao], Xu, X.W.[Xiao-Wei], Liu, T.[Tao], Liu, Q.[Qi], Wang, Y.Z.[Yan-Zhi], Shi, Y.[Yiyu], Wen, W.[Wujie], Huang, M.P.[Mei-Ping], Yuan, H.Y.[Hai-Yun], Zhuang, J.[Jian],
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds,
CVPR19(12679-12688).
IEEE DOI 2002
BibRef

Ruiz, A.D.[Angel D.], Mejía, J.S.[Juan S.], López, J.M.[Juan M.], Giraldo, B.F.[Beatriz F.],
Characterization of Cardiac and Respiratory System of Healthy Subjects in Supine and Sitting Position,
IbPRIA19(I:367-377).
Springer DOI 1910
BibRef

Piraud, M.[Marie], Sekuboyina, A.[Anjany], Menze, B.H.[Björn H.],
Multi-level Activation for Segmentation of Hierarchically-Nested Classes,
BioIm18(VI:345-353).
Springer DOI 1905
BibRef

Xie, Y.T.[Yi-Ting], Richmond, D.[David],
Pre-training on Grayscale ImageNet Improves Medical Image Classification,
BioIm18(VI:476-484).
Springer DOI 1905
BibRef

Necasová, T.[Tereza], Svoboda, D.[David],
Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data,
BioIm18(VI:385-394).
Springer DOI 1905
BibRef

Singh, S., Ho-Shon, K., Karimi, S., Hamey, L.,
Modality Classification and Concept Detection in Medical Images Using Deep Transfer Learning,
IVCNZ18(1-9)
IEEE DOI 1902
Biomedical imaging, Task analysis, Feature extraction, Deep learning, X-ray imaging, Visualization, Deep Learning BibRef

Bicego, M., Lovato, P., DeBona, M., Guzzo, F., Assfalg, M.,
Mining NMR Spectroscopy Using Topic Models,
ICPR18(3784-3789)
IEEE DOI 1812
Nuclear magnetic resonance, Dictionaries, Analytical models, Computational modeling, Probabilistic logic, Pattern recognition BibRef

Nadir, Z., Bouman, C.A., Rice, K.M., Brown, M.S.,
A Hybrid Prior Model for Tunable Diode Laser Absorption Tomography,
ICIP18(1188-1192)
IEEE DOI 1809
Training data, Data models, Computational modeling, Covariance matrices, Eigenvalues and eigenfunctions, Gaussian prior BibRef

Philip, R.C., Malladi, S.R.S.P., Niihori, M., Jacob, A., Rodríguez, J.J.,
Performance of Supervised Classifiers for Damage Scoring of Zebrafish Neuromasts,
Southwest18(113-116)
IEEE DOI 1809
Support vector machines, Biological neural networks, Feature extraction, Backpropagation, Forestry, Neurons, supervised learning BibRef

Smith, B.[Ben], Sreeramakavacham, S.[Sivamanoj], Kim, J.H.[Jung Hyup], Despins, L.[Laurel],
Improving Computerized Charting in an Intensive Care Unit,
DHM18(537-546).
Springer DOI 1807
BibRef

Sreeramakavacham, S.[Sivamanoj], Kim, J.H.[Jung Hyup], Despins, L.[Laurel], Sommerfeldt, M.[Megan], Bessette, N.[Natalie],
Effect of Patient Acuity of Illness and Nurse Experience on EMR Works in Intensive Care Unit,
DHM18(547-557).
Springer DOI 1807
BibRef

Jung, S.Y.[So-Young],
The Message Effect of Augmented Health Messages on Body,
VAMR18(II: 86-93).
Springer DOI 1807
BibRef

Theodoridis, T., Solachidis, V., Vretos, N., Daras, P., Dotti, D., Popa, M., Hernández, G., Álvarez, F., Patón, A.G., Lopez, A.,
ICT4Life open source libraries supporting multimodal analysis of different diseases,
AVSS17(1-6)
IEEE DOI 1806
data acquisition, diseases, learning (artificial intelligence), libraries, medical computing, patient monitoring, Wearable sensors BibRef

Kumar, N., Rajwade, A.V., Chandran, S., Awate, S.P.,
Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images,
ICIP17(4157-4161)
IEEE DOI 1803
Biomedical imaging, Data models, Kernel, Principal component analysis, Robustness, robustness BibRef

Neira-Tovar, L.[Leticia], Rodriguez, I.C.[Ivan Castilla],
A Virtual Reality Tool Applied to Improve the Effects on Chronic Diseases - Case: Emotional Effects on T2DM,
VAMR17(417-425).
Springer DOI 1712
BibRef

Bhattacharjee, D.[Debjani], Hossain, S.M.M.[Sk Md Mosaddek], Sultana, R.[Raziya], Ray, S.[Sumanta],
Topological Inquisition into the PPI Networks Associated with Human Diseases Through Graphlet Frequency Distribution,
PReMI17(431-437).
Springer DOI 1711
BibRef

Batmanghelich, N.K.[Nematollah Kayhan], Saeedi, A.[Ardavan], Estepar, R.S.J.[Raul San Jose], Cho, M.[Michael], Wells, III, W.M.[William M.],
Inferring Disease Status by Non-parametric Probabilistic Embedding,
MCV16(49-57).
Springer DOI 1711
BibRef

Afiza, M.R.N.[Mat Razali Noor], Saad, N.J.A.M.[Nurjannatul Jannah Aqilah Md], Hasbullah, N.A.[Nor Asiakin], Zainudin, N.M.[Norulzahrah Mohd], Ramli, S.[Suzaimah], Wahab, N.[Norshahriah], Ismail, M.N.[Mohd Nazri], Amran, M.F.M.[Mohd Fahmi Mohamad],
Knowledge Driven Interface to Determine Degree of Exposure of Young Adult to Pedophile Online,
IVIC17(727-736).
Springer DOI 1711
BibRef

Mohamad, U.H.[Ummul Hanan], Ijab, M.T.[Mohamad Taha], Kadir, R.A.[Rabiah Abdul],
Bridging the Gap in Personalised Medicine Through Data Driven Genomics,
IVIC17(88-99).
Springer DOI 1711
BibRef

Lazim, N.L.[Nur Liyana], Radzi, M.H.M.[Muhammad Hamiz Mohd], Haron, H.[Haryani], Haron, M.B.C.[Mohammad Bakri Che],
Intake and Preparation of Malay Confinement Dietary Ontology Framework,
IVIC17(62-70).
Springer DOI 1711
BibRef

Grenier, P.A., Brun, L., Villemin, D.,
Taking into account stereoisomerism in the prediction of molecular properties,
ICPR16(1542-1547)
IEEE DOI 1705
Carbon, Encoding, Indexes, Kernel, Labeling, Support vector machines BibRef

Afef, C.[Cherni], Émilie, C.[Chouzenoux], Marc-André, D.[Delsuc],
Proximity operators for a class of hybrid sparsity: entropy priors application to dosy NMR signal reconstruction,
ISIVC16(120-125)
IEEE DOI 1704
Context BibRef

Nijholt, A., Minuto, A.,
Smart material interfaces: Playful and artistic applications,
IVPR17(1-6)
IEEE DOI 1704
BibRef
And: A1, Only:
Plenary speaker: Smart material interfaces: Playful and artistic applications,
IVPR17(1-1)
IEEE DOI 1704
Atomic measurements Biomedical imaging BibRef

Adnan, M.M.R., Zohora, F.T., Tasnim, M., Debnath, S., Tumpa, S.A.,
Portable implementation of profuse perspiration indicator for use in disease symptom detection,
IVPR17(1-5)
IEEE DOI 1704
Electrical resistance measurement BibRef

Miskon, A.B.,
Keynote speaker: An engineered microenvironment for manipulating cells in tissue regeneration: A way towards the development of bioartificial organs using mesenchymal stem cell,
IVPR17(1-1)
IEEE DOI 1704
Biographies;Innovation management;Tissue engineering BibRef

Sen, R., Sarkar, A.K., Sarker, P.C., Paul, L.C., Rashid, M.M.U.,
RF absorption in biological tissue at varying distances and angles and rapport to tissue impedance,
IVPR17(1-5)
IEEE DOI 1704
Absorption BibRef

Soran, B.[Bilge], Lowes, L.[Linda], Steele, K.M.[Katherine M.],
Evaluation of Infants with Spinal Muscular Atrophy Type-I Using Convolutional Neural Networks,
ACVR16(II: 495-507).
Springer DOI 1611
BibRef

Yoda, I.[Ikushi], Shiroyama, M.[Momo],
Medutainment-Based AR Rally: Disaster Medical Learning Tool for Citizens,
VAMR16(574-583).
Springer DOI 1608
BibRef

Aljaaf, A.J., Al-Jumeily, D., Hussain, A.J., Fergus, P., Al-Jumaily, M., Radi, N.,
Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets,
WSSIP15(228-232)
IEEE DOI 1603
decision support systems BibRef

Keivanian, F., Mehrshad, N.,
Intelligent feature subset selection with unspecified number for body fat prediction based on binary-GA and Fuzzy-Binary-GA,
IPRIA15(1-7)
IEEE DOI 1603
fats BibRef

Rezaeian, M., Hossein-Zadeh, G.A., Soltanian-Zadeh, H.,
Quantification of the CEST effect by Gaussian mixture modeling of Z-spectrum,
IPRIA15(1-6)
IEEE DOI 1603
CEST: chemical exchange saturation transfer. Gaussian distribution BibRef

Al-Jumeily, D., Hussain, A., MacDermott, Á., Murphy, J.,
Improving the barrier of communication between healthcare professionals and their patients using a Prescription Tracking System,
WSSIP15(282-286)
IEEE DOI 1603
biomedical communication BibRef

Kisilev, P.[Pavel], Walach, E.[Eugene], Hashoul, S.[Sharbell], Barkan, E.[Ella], Ophir, B.[Boaz], Alpert, S.[Sharon],
Semantic Description of Medical Image Findings: Structured Learning approach,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Zabih, R.[Ramin],
Research opportunities in creating medical images,
MVA15(418-421)
IEEE DOI 1507
Biomedical imaging BibRef

Rzepecki, J.[Jan], Vaquero, R.M.M.[Ricardo Manuel Millán], Vais, A.[Alexander], Friese, K.I.[Karl-Ingo], Wolter, F.E.[Franz-Erich],
Multimodal Approach for Natural Biomedical Multi-scale Exploration,
ISVC14(II: 620-631).
Springer DOI 1501
some pathologies appear different at different scales (or similar to others at different scales). BibRef

Tan, C.W.[Chao-Wei], Yan, Z.N.[Zhen-Nan], Zhang, S.T.[Shao-Ting], Belaroussi, B.[Boubakeur], Yu, H.J.[Hui Jing], Miller, C.[Colin], Metaxas, D.N.[Dimitris N.],
An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh,
ICPR14(3173-3178)
IEEE DOI 1412
Bones BibRef

Cairco Dukes, L., Bertrand, J., Gupta, M., Armstrong, R., Fasolino, T., Babu, S., Hodges, L.F.,
Comparing usability of a single versus dual interaction metaphor in a multitask healthcare simulation,
3DUI13(133-134)
IEEE DOI 1406
data recording BibRef

Brilhador, A.[Anderson], Colonhezi, T.P.[Thiago P.], Bugatti, P.H.[Pedro H.], Lopes, F.M.[Fabrício M.],
Combining Texture and Shape Descriptors for Bioimages Classification: A Case of Study in ImageCLEF Dataset,
CIARP13(I:431-438).
Springer DOI 1311
BibRef

Hurtado-Cortegana, A.[Alicia], Ferri, F.J.[Francesc J.], Diaz-Villanueva, W.[Wladimiro], Morell, C.[Carlos],
Drug Activity Characterization Using One-Class Support Vector Machines with Counterexamples,
CIARP13(II:33-40).
Springer DOI 1311
BibRef

Oronoz, M.[Maite], Casillas, A.[Arantza], Gojenola, K.[Koldo], Perez, A.[Alicia],
Automatic Annotation of Medical Records in Spanish with Disease, Drug and Substance Names,
CIARP13(II:536-543).
Springer DOI 1311
BibRef

Jiang, X.Y.[Xiao-Yi], Dawood, M.[Mohammad], Gigengack, F.[Fabian],
Biomedical Imaging: A Computer Vision Perspective,
CAIP13(1-19).
Springer DOI 1308
BibRef

Xu, S.X.[Shu-Xiang], Liu, Y.L.[Yun-Ling],
HONNs with ELM algorithm for medical applications,
ICARCV12(1215-1219).
IEEE DOI 1304
BibRef

Wang, F.[Fei], Hu, J.Y.[Jian-Ying], Sun, J.M.[Ji-Meng],
Medical prognosis based on patient similarity and expert feedback,
ICPR12(1799-1802).
WWW Link. 1302
BibRef

Pogorelc, B.[Bogdan], Gams, M.[Matjaž],
Recognition of Patterns of Health Problems and Falls in the Elderly Using Data Mining,
CIARP12(463-471).
Springer DOI 1209
BibRef

Basu, A., Cheng, I., Shen, R.[Rui], Wang, T.[Tao],
Automatic Medical Image Analysis and Potential Impact in India,
NCVPRIPG11(1-5).
IEEE DOI 1205
BibRef

Ospina, J.D.[Juan David], Acosta, O.[Oscar], Dréan, G.[Gaël], Cazoulat, G.[Guillaume], Simon, A.[Antoine], Correa, J.C.[Juan Carlos], Haigron, P.[Pascal], de Crevoisier, R.[Renaud],
Spatial Nonparametric Mixed-Effects Model with Spatial-Varying Coefficients for Analysis of Populations,
MLMI11(142-150).
Springer DOI 1109
BibRef

Canetta, E.[Elisabetta], Adya, A.K.[Ashok K.],
Nano-imaging and Its Applications to Biomedicine,
CIAP11(I: 423-432).
Springer DOI 1109
BibRef

Avola, D.[Danilo], Cinque, L.[Luigi], di Girolamo, M.[Marco],
A Novel T-CAD Framework to Support Medical Image Analysis and Reconstruction,
CIAP11(II: 414-423).
Springer DOI 1109
BibRef

Maday, P.[Peter], Khurd, P.[Parmeshwar], Ladic, L.[Lance], Schnall, M.[Mitchell], Rosen, M.[Mark], Davatzikos, C.[Christos], Kamen, A.[Ali],
Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE),
MCV10(164-173).
Springer DOI 1009
BibRef

Buckler, A.J.,
A procedural template for the qualification of imaging as a biomarker, using volumetric CT as an example,
AIPR09(1-7).
IEEE DOI 0910
BibRef

Rougon, N.E.[Nicolas E.],
Medical image analysis using high-dimensional information-theoretic criteria,
IPTA10(14-14).
IEEE DOI 1007
BibRef

Modat, M.[Marc], Taylor, Z.A.[Zeike A.], Ridgway, G.R.[Gerard R.], Barnes, J.[Josephine], Wild, E.J.[Edward J.], Hawkes, D.J.[David J.], Fox, N.C.[Nick C.], Ourselin, S.[Sébastien],
Nonlinear Elastic Spline Registration: Evaluation with Longitudinal Huntington's Disease Data,
WBIR10(128-139).
Springer DOI 1007
BibRef

Atine, J.,
A Fuzzy Clustering Approach for Supervision of Biological Processes by Image Processing,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Chacon, M.I.[Mario I.], Nevarez, M.[Mitzy], Licon, A.[Angel], Solis, F.J.[Francisco J.], Cordoba, L.[Lucina], Martinez, A.[Alejandro],
Nose bug egg geometric structure segmentation with anisotropic filtering and edge enhancement,
Southwest10(133-136).
IEEE DOI 1005
BibRef

Das, M.[Mouli], Mukhopadhyay, S.[Subhasis], De, R.K.[Rajat K.],
A Constraint Based Method for Optimization in Metabolic Pathways,
PReMI09(193-198).
Springer DOI 0912
BibRef

Noumeir, R.[Rita], Pambrun, J.F.[Jean-Francois],
Images within the Electronic Health Record,
ICIP09(1761-1764).
IEEE DOI 0911
BibRef

Dougherty, G.,
Medical imaging: An illustrated overview,
IVCNZ09(171-178).
IEEE DOI 0911
BibRef

Deng, J.D.,
Improving feature extraction for automatic medical image categorization,
IVCNZ09(379-384).
IEEE DOI 0911
BibRef

Donohue, R., Shearer, A., Bruzzi, J.,
Constrained Region-Based Segmentation of Pleural Effusion in Thin-Slice CT,
IMVIP09(24-29).
IEEE DOI 0909
BibRef

Li, T.S.[Tie-Sheng], Xu, W.J.[Wen-Jian], Zhou, J.[Jing], Wang, J.[Jun], Xu, Z.H.[Zhan-Hui], Wu, Y.J.[Yang-Jie], Miyashita, T.,
Studies on Micropatterning and Photoreaction of Copolymer LB Films Containing Nonionic Photoacid Generator,
CISP09(1-7).
IEEE DOI 0910
BibRef

Zhu, Z.L.[Zhi-Liang], Zhai, K.[Ke], Wang, B.L.[Bei-Lei], Liu, H.J.[Hong-Juan], Jiang, H.Y.[Hui-Yan],
Research on Chaos-Based Message Digest Method for Medical Images,
CISP09(1-5).
IEEE DOI 0910
BibRef

Liu, C.Y.[Chong-Yu], Cheng, Q.S.[Quan-Shui], Zheng, J.G.[Ju-Gong], Yang, T.[Ting],
Preparation of CuO Nanorods in Ionic Liquids,
CISP09(1-4).
IEEE DOI 0910
BibRef

Li, X.F.[Xing-Fei], Wu, T.F.[Teng-Fei], Fei, S.[Sun],
3D Multichannel Active Neural Microelectrode with Single-Supply Integrate Signal Processing Circuitry,
CISP09(1-4).
IEEE DOI 0910
BibRef

Mangoubi, R., Desai, M., Sammak, P.,
Non-Gaussian methods in biomedical imaging,
AIPR08(1-6).
IEEE DOI 0810
BibRef

Chen, Y.F.[Yung-Fu], Huang, Y.F.[Yung-Fa], Jiang, X.Y.[Xiao-Yi], Hsu, Y.N.[Yuan-Nian], Lin, H.H.[Hsuan-Hung],
Design of Clinical Support Systems Using Integrated Genetic Algorithm and Support Vector Machine,
CAIP09(791-798).
Springer DOI 0909
BibRef

Luo, G.[Gang], Tang, C.Q.[Chun-Qiang],
Challenging issues in iterative intelligent medical search,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Vaidya, J.[Jaideep], Tulpule, B.[Bhakti],
Enabling Better Medical Image Classification Through Secure Collaboration,
ICIP07(IV: 461-464).
IEEE DOI 0709
Using work in cryptography and privacy to enable wider use of medical imagery. BibRef

Verma, R.[Ragini], Wang, P.[Peng],
On Detecting Subtle Pathology via Tissue Clustering of Multi-parametric Data using Affinity Propagation,
MMBIA07(1-8).
IEEE DOI 0710
BibRef

Yeo, B.T.T.[B.T. Thomas], Sabuncu, M.R.[Mert R.], Mohlberg, H.[Hartmut], Amunts, K.[Katrin], Zilles, K.[Karl], Golland, P.[Polina], Fischl, B.[Bruce],
What Data to Co-register for Computing Atlases,
MMBIA07(1-8).
IEEE DOI 0710
BibRef

Bourgine, P.[Paul], Frolkovic, P.[Peter], Mikula, K.[Karol], Peyriéras, N.[Nadine], Remešíková, M.[Mariana],
Extraction of the Intercellular Skeleton from 2D Images of Embryogenesis Using Eikonal Equation and Advective Subjective Surface Method,
SSVM09(38-49).
Springer DOI 0906
BibRef

Luengo-Oroz, M.A., Faure, E., Lombardot, B., Sance, R., Bourgine, P., Peyrieras, N., Santos, A.,
Twister Segment Morphological Filtering. A New Method for Live Zebrafish Embryos Confocal Images Processing,
ICIP07(V: 253-256).
IEEE DOI 0709
BibRef

Spir, R.[Robert], Mikula, K.[Karol], Peyrieras, N.[Nadine],
Cell Lineage Tree Reconstruction from Time Series of 3D Images of Zebrafish Embryogenesis,
MCBMIIA16(II: 539-554).
Springer DOI 1704
BibRef

Drblíková, O.[Olga], Mikula, K.[Karol], Peyriéras, N.[Nadine],
The Nonlinear Tensor Diffusion in Segmentation of Meaningful Biological Structures from Image Sequences of Zebrafish Embryogenesis,
SSVM09(63-74).
Springer DOI 0906
BibRef

Calabrese, A.[Antonio], Coppola, C.[Carlo], Masecchia, S.[Salvatore], Mele, F.[Francesco], Origlia, A.[Antonio], Sorgente, A.[Antonio], Talamo, O.[Oliviero],
Towards a Formal Approach to Generative Design: An Assistant System for the Creation of Artefact Models,
BVAI07(468-479).
Springer DOI 0710
BibRef

Olsén, C.[Christina], Mukhdoomi, A.[Aamir],
Automatic Segmentation of Fibroglandular Tissue,
SCIA07(679-688).
Springer DOI 0706
BibRef

Tobin, K.W.[Kenneth W.], Aykac, D.[Deniz], Govindasamy, V.P.[V. Priya], Gleason, S.S.[Shaun S.], Gregor, J.[Jens], Karnowski, T.P.[Thomas P.], Price, J.R.[Jeffery R.], Wall, J.[Jonathan],
Image-Based Informatics for Preclinical Biomedical Research,
ISVC06(II: 824-834).
Springer DOI 0611
BibRef

Fondón, I.[Irene], Acha, B.[Begoña], Serrano, C.[Carmen], Sosa, M.[Manuel],
New Characteristics for the Classification of Burns: Experimental Study,
ICIAR06(II: 502-512).
Springer DOI 0610
BibRef

Jeong, Y.[Yongwon], Radke, R.J.[Richard J.],
Modeling Inter- and Intra-Patient Anatomical Variation Using a Bilinear Model,
MMBIA06(76).
IEEE DOI 0609
BibRef

Bethel, C.L.[Cindy L.], Hall, L.O.[Lawrence O.], Goldgof, D.[Dmitry],
Mining for Implications in Medical Data,
ICPR06(I: 1212-1215).
IEEE DOI 0609
BibRef

Florea, F.[Filip], Barbu, E.[Eugen], Rogozan, A.[Alexandrina], Bensrhair, A.[Abdelaziz], Buzuloiu, V.,
Medical Image Categorization using a Texture Based Symbolic Description,
ICIP06(1489-1492).
IEEE DOI 0610
BibRef

Florea, F.[Filip], Barbu, E.[Eugen], Rogozan, A.[Alexandrina], Bensrhair, A.[Abdelaziz],
Using texture-based symbolic features for medical image representation,
ICPR06(II: 946-949).
IEEE DOI 0609
BibRef

Qi, D.[Da], Denton, E.R.E.[Erika R.E.], Zwiggelaar, R.[Reyer],
Semantic Analysis on Medical Images: A Case Study,
ICPR06(I: 1260-1263).
IEEE DOI 0609
BibRef

He, Z.Y.[Zhi-Yu], Kimball, J.[Jason], Kuester, F.[Falko],
Distributed and Collaborative Biomedical Data Exploration,
ISVC05(271-278).
Springer DOI 0512
BibRef

Marchal, M.[Maud], Promayon, E.[Emmanuel], Troccaz, J.[Jocelyne],
Simulating Complex Organ Interactions: Evaluation of a Soft Tissue Discrete Model,
ISVC05(175-182).
Springer DOI 0512
BibRef

Batz, D.[David], Batz, M.[Michael], da Vitoria Lobo, N.[Niels], Shah, M.[Mubarak],
A Computer Vision System for Monitoring Medication Intake,
CRV05(362-369).
IEEE DOI 0505
BibRef

García-Hernández, J.[José], Heras, S.[Stella], Juan, A.[Alfons], Paredes, R.[Roberto], Nácher, B.[Beatriz], Alemany, S.[Sandra], Alcántara, E.[Enrique], González, J.C.[Juan Carlos],
The MORFO3D Foot Database,
IbPRIA05(II:658).
Springer DOI 0509
BibRef

Park, M.[Mira], Ramamohanarao, K.,
Automatic extraction of semantic concepts in medical images,
ICIP04(II: 1157-1160).
IEEE DOI 0505
BibRef

Yagi, M.[Masakazu], Shibata, T.[Tadashi], Tanikawa, C.[Chihiro], Takada, K.[Kenji],
A Robust Medical Image Recognition System Employing Edge-Based Feature Vector Representation,
SCIA03(534-540).
Springer DOI 0310
BibRef

He, H.G.[Hui-Guang], Tian, J.[Jie], Wang, J.[Jing], Chen, H.[Hong], Zhang, X.P.,
Improved MSEL and its medical application,
ICPR02(II: 597-600).
IEEE DOI 0211
BibRef

Duncan, J.S.,
Geometrical and physical models for the recovery of quantitative information from medical image analysis,
ICPR02(II: 277-277).
IEEE DOI 0211
BibRef

Roberto, V., della Mea, V.,
IMAGENCIES: Network image services for telemedicine applications,
CIAP01(501-506).
IEEE DOI 0210
BibRef

Adolph, S., Gürke, S.,
Modeling of a Fitting Inlay from Various Information,
VMV01(xx-yy).
PDF File. 0209
BibRef

Mattes, J., Fieres, J., Eils, R.,
Quantification, Visualization, and Motion Correction in Dynamic Processes,
CVPR01(Demos 38-39). 0110
BibRef

Yamashita, Y., Kubota, M.,
Imaging of Elastic Modulus of Incompressible Biological Soft Tissue from a Knowledge of Displacement Measurements,
ICIP01(I: 321-324).
IEEE DOI 0108
BibRef

Stoeckel, J., Vos, F.M., Vos, P.H., Vossepoel, A.M.,
An Evaluation of Ridge Extraction Methods for Portal Imaging,
ICPR00(Vol III: 429-432).
IEEE DOI 0009
Medical imaging. BibRef

Garduño, E.[Edgar], Herman, G.T.[Gabor T.],
Applications of the Geometry of Digital Spaces to Medical Imaging,
WACV98(244-245).
IEEE DOI 9809
BibRef

Ranguelova, E.[Elena], Quinn, A.[Anthony],
Analysis and Synthesis of Three-Dimensional Gaussian Markov Random Fields,
ICIP99(III:430-434).
IEEE DOI BibRef 9900

Kybic, J.[Jan], Thevenaz, P.[Philippe], Unser, M.[Michael],
Compensation of Unidirectional Geometric Distortion in EPI using Spline Warping,
ICIP99(II:168-172).
IEEE DOI BibRef 9900

Maes, F., Vandermeulen, D., Suetens, P., Marchal, G.,
Computer-Aided Interactive Object Delineation Using an Intelligent Paintbrush Technique,
CVRMed95(XX-YY) BibRef 9500

Steinbakk, H.S., and Palmer, P.L.,
Automatic Measurement of Inhibition Zones in Petri Dish Samples,
BMVC96(Poster Session 2). 9608
University of Surrey BibRef

Balev, B.[Boiko], Bloemer, A.[Arnold], Dehning, O.[Oliver],
Knowledge acquisition for image analysis using hypermedia interface,
CAIP95(544-549).
Springer DOI 9509
BibRef

Balev, B.,
An Image Understanding System Aiming At Analysis Of Biological Membrane Behavior,
ICPR92(I:185-188).
IEEE DOI BibRef 9200

Swift, R., Ramaswamy, K., and Higgins, W.,
Adaptive Axes-Generation Algorithm for 3D Tubular Structures,
ICIP97(II: 136-139).
IEEE DOI BibRef 9700

Frimmel, H.[Hans],
Biopsy Needle Optimisation,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Vossepoel, A.M.[Albert M.], and de Kanter, M.A.[Mark A.],
A Two-Stage Approach to Automatic Segmentation of Metaphase Images,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Farkas, D.L.[Daniel L.], Ballou, B.[Byron], Du, C.[Congwu], Fisher, G.W.[Gregory W.], Lau, C.[Christopher], Levenson, R.M.[Richard M.],
Optical image acquisition, analysis and processing for biomedical applications,
CIAP97(II: 663-671).
Springer DOI 9709
BibRef

Milkrut, Z.[Zbigniew], Bublinski, Z.[Zbigniew], Popiela-Mizera, A.[Anna],
A Method of Linear 'Star-Section' Applied for Object Separation in ERCP Images,
ICIP96(I: 363-366).
IEEE DOI 9610
BibRef

Klinker, G.J., Carlbom, I., Hsu, W., Terzopoulos, D.,
Biomedical Data Exploration Meets Telecollaboration,
CVRMed95(XX-YY)
HTML Version. BibRef 9500

Bookstein, F.L.,
Combining 'Vertical' and 'Horizontal' Features from Medical Images,
CVRMed95(XX-YY) BibRef 9500
Earlier:
'Vertical' and 'horizontal': complementary biometric spaces for medical image analysis,
ICIP95(III: 5-8).
IEEE DOI 9510
BibRef

Kancherla, A.R., Rolland, J.P., Wright, D.L., Burdea, G.,
A Novel Virtual Reality Tool for Teaching Dynamic 3D Anatomy,
CVRMed95(XX-YY) BibRef 9500

Ziegler, R., Müller, W., Fischer, G., Goebel, M.,
A Virtual Reality Medical Training System,
CVRMed95(XX-YY) BibRef 9500

Stråhlen, K.,
Exponential Radon Transforms of Vector Fields,
SSAB97(Medical) 9703
BibRef

Strahlen, K.[Kent],
Reconstructions from Doppler Radon Transforms,
ICIP96(II: 753-756).
IEEE DOI 9610
BibRef

Masutani, Y., Masamune, K., Suzuki, M., Burel, G., Henocq, H., Catros, J.Y.,
Registration of 3D Objects Using Linear Algebra,
CVRMed95(XX-YY) BibRef 9500

Fidrich, M.[Márta], Thirion, J.P.[Jean-Philippe],
Multiscale extraction of features from medical images,
CAIP95(637-642).
Springer DOI 9509
BibRef
And:
Multiscale Representation and Analysis of Features from Medical Images,
CVRMed95(XX-YY) BibRef

Gourdon, A.,
Simplification of Irregular Surface Meshes in 3D Medical Images,
CVRMed95(XX-YY) BibRef 9500

Neveu, M., Faudot, D., Derdouri, B.,
B-Deformable Superquadrics for 3D Reconstruction,
CVRMed95(XX-YY) BibRef 9500

Bro-Nielsen, M.,
Modelling Elasticity In Solids Using Active Cubes - Application To Simulated Operations,
CVRMed95(XX-YY)
HTML Version. BibRef 9500

Wang, T.P., Sun, M., Li, C.C., Vagnucci, A.H.,
Classification of abnormal cortisol patterns by features from Wigner spectra,
ICPR90(II: 228-230).
IEEE DOI 9008
BibRef

Arnqvist, J., Hellgren, J., Vincent, J.,
Semiautomatic classification of secondary healing ulcers in multispectral images,
ICPR88(I: 459-461).
IEEE DOI 8811
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications, Diagonistic Systems, General Diagnosis, Therapy Systems .