20.1.1 Medical Applications, Diagonistic Systems, General Diagnosis

Chapter Contents (Back)
Medical, Applications. Application, Medical. Diagnosis.

Lashkia, G.V.[George V.], Anthony, L.[Laurence],
An inductive learning method for medical diagnosis,
PRL(24), No. 1-3, January 2003, pp. 273-282.
Elsevier DOI 0211
BibRef

Ribeiro, M.X., Traina, A.J.M., Traina, C., Azevedo-Marques, P.M.,
An Association Rule-Based Method to Support Medical Image Diagnosis With Efficiency,
MultMed(10), No. 2, February 2008, pp. 277-285.
IEEE DOI 0905
BibRef

Parekh, R.[Ranjan],
Using Texture Analysis for Medical Diagnosis,
MultMedMag(19), No. 1, January-March 2012, pp. 28-37.
IEEE DOI 1202
BibRef

Lazzarini, N.[Nicola], Nanni, L.[Loris], Fantozzi, C.[Carlo], Pietracaprina, A.[Andrea], Pucci, G.[Geppino], Seccia, T.M.[Teresa Maria], Rossi, G.P.[Gian Paolo],
Heterogeneous machine learning system for improving the diagnosis of primary aldosteronism,
PRL(65), No. 1, 2015, pp. 124-130.
Elsevier DOI 1511
Primary aldosteronism BibRef

Batmanghelich, N.K., Dalca, A.V., Quon, G., Sabuncu, M.R., Golland, P.,
Probabilistic Modeling of Imaging, Genetics and Diagnosis,
MedImg(35), No. 7, July 2016, pp. 1765-1779.
IEEE DOI 1608
Bayes methods BibRef

Sethi, G.[Gaurav], Saini, B.S.,
Computer Aided Diagnosis of Abdomen Diseases Using Curvelet Transform,
IJIG(16), No. 03, 2016, pp. 1650013.
DOI Link 1608
BibRef

Li, R.[Rui], Shi, P.C.[Peng-Cheng], Pelz, J.[Jeff], Alm, C.O.[Cecilia O.], Haake, A.R.[Anne R.],
Modeling eye movement patterns to characterize perceptual skill in image-based diagnostic reasoning processes,
CVIU(151), No. 1, 2016, pp. 138-152.
Elsevier DOI 1610
BibRef
Earlier: A1, A2, A5, Only:
Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes,
CVPR13(2187-2194)
IEEE DOI 1309
Visual attention BibRef

Edwards, J.,
Signal Processing at the Heart of a Health-Care Renaissance: As people live longer, new technologies promise better and less costly diagnostic services,
SPMag(33), No. 6, November 2016, pp. 8-11.
IEEE DOI 1609
[Special Reports] Biomedical signal processing; Globalization; Medical services BibRef

Edwards, J.,
Innovative Sensors Promise Longer and Healthier Lives: Signal processing leads to devices that provide faster and more insightful monitoring and diagnoses,
SPMag(34), No. 4, July 2017, pp. 14-17.
IEEE DOI 1708
Biomedical monitoring, Diseases, Magnetic sensors, Medical devices, Sensors, Temperature sensors, Tracking BibRef

Liu, S., Sun, X., Xu, W., Zhang, Y., Dai, J.,
Null Distribution of Volume Under Ordered Three-Class ROC Surface (VUS) With Continuous Measurements,
SPLetters(25), No. 12, December 2018, pp. 1855-1859.
IEEE DOI 1812
health care, Monte Carlo methods, nonparametric statistics, normal distribution, patient diagnosis, recursive estimation, volume under the ROC surface (VUS) BibRef

Gu, D., Li, Y., Jiang, F., Wen, Z., Liu, S., Shi, W., Lu, G., Zhou, C.,
VINet: A Visually Interpretable Image Diagnosis Network,
MultMed(22), No. 7, July 2020, pp. 1720-1729.
IEEE DOI 2007
Visualization, Medical services, Biomedical imaging, Estimation, Computational modeling, Solid modeling, Task analysis, medical diagnostic imaging BibRef

Zhang, Y., Wei, Y., Wu, Q., Zhao, P., Niu, S., Huang, J., Tan, M.,
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis,
IP(29), 2020, pp. 7834-7844.
IEEE DOI 2007
Medical diagnostic imaging, Noise measurement, Collaboration, Feature extraction, Task analysis, Training, medical image diagnosis BibRef

Liu, Q.D.[Quan-De], Yu, L.Q.[Le-Quan], Luo, L.Y.[Lu-Yang], Dou, Q.[Qi], Heng, P.A.[Pheng Ann],
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model,
MedImg(39), No. 11, November 2020, pp. 3429-3440.
IEEE DOI 2011
Medical diagnostic imaging, Lesions, Feature extraction, Predictive models, Semantics, Semisupervised learning, self-ensembling model BibRef

Ayesha, H.[Hareem], Iqbal, S.[Sajid], Tariq, M.[Mehreen], Abrar, M.[Muhammad], Sanaullah, M.[Muhammad], Abbas, I.[Ishaq], Rehman, A.[Amjad], Niazi, M.F.K.[Muhammad Farooq Khan], Hussain, S.[Shafiq],
Automatic medical image interpretation: State of the art and future directions,
PR(114), 2021, pp. 107856.
Elsevier DOI 2103
Attention mechanism, Automatic captioning, Convolutional neural network (cnn), Deep learning, Medical image caption BibRef

Chen, Z.[Zhen], Guo, X.Q.[Xiao-Qing], Woo, P.Y.M.[Peter Y. M.], Yuan, Y.X.[Yi-Xuan],
Super-Resolution Enhanced Medical Image Diagnosis With Sample Affinity Interaction,
MedImg(40), No. 5, May 2021, pp. 1377-1389.
IEEE DOI 2105
Medical diagnostic imaging, Task analysis, Superresolution, Image resolution, Semantics, Logic gates, Feature extraction, semantic consistency BibRef

Hu, W.X.[Wen-Xing], Meng, X.H.[Xiang-He], Bai, Y.T.[Yun-Tong], Zhang, A.[Aiying], Qu, G.[Gang], Cai, B.[Biao], Zhang, G.[Gemeng], Wilson, T.W.[Tony W.], Stephen, J.M.[Julia M.], Calhoun, V.D.[Vince D.], Wang, Y.P.[Yu-Ping],
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition,
MedImg(40), No. 5, May 2021, pp. 1474-1483.
IEEE DOI 2105
Biological system modeling, Correlation, Feature extraction, Computational modeling, Brain modeling, Diseases, Data models, CAM BibRef

Lu, Y.[Ya], Stathopoulou, T.[Thomai], Vasiloglou, M.F.[Maria F.], Christodoulidis, S.[Stergios], Stanga, Z.[Zeno], Mougiakakou, S.[Stavroula],
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients,
MultMed(23), 2021, pp. 1136-1147.
IEEE DOI 2105
Databases, Estimation, Image segmentation, Artificial intelligence, Hospitals, Training data, Visualization, Artificial Intelligence, few-shot learning BibRef


Huang, Y.X.[Yong-Xiang], Chung, A.C.S.[Albert C. S.],
Semi-Supervised Multimodality Learning With Graph Convolutional Neural Networks For Disease Diagnosis,
ICIP20(2451-2455)
IEEE DOI 2011
Adaptation models, Image edge detection, Imaging, Sociology, Statistics, Databases, Feature extraction, Multimodality learning, Computer-aided diagnosis BibRef

Wang, D., Zhang, Y., Zhang, K., Wang, L.,
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection,
CVPR20(3950-3959)
IEEE DOI 2008
Training, Task analysis, Semisupervised learning, Medical diagnostic imaging, Predictive models BibRef

Wu, B., Sun, X., Hu, L., Wang, Y.,
Learning With Unsure Data for Medical Image Diagnosis,
ICCV19(10589-10598)
IEEE DOI 2004
diseases, learning (artificial intelligence), lung, medical image processing, regression analysis, Training BibRef

Liu, X., Han, X., Qiao, Y., Ge, Y., Li, S., Lu, J.,
Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis,
VRMI19(332-341)
IEEE DOI 2004
Task analysis, Training, Euclidean distance, Medical diagnosis, Estimation, Loss measurement, Ordinal classification, noise data BibRef

Yu, Y.[Yan], Wang, Y.[Yiyang], Furst, J.[Jacob], Raicu, D.[Daniela],
Identifying Diagnostically Complex Cases Through Ensemble Learning,
ICIAR19(II:316-324).
Springer DOI 1909
BibRef

Carletti, M., Cristani, M., Cavedon, V., Milanese, C., Zancanaro, C., Giachetti, A.,
Analyzing Body Fat from Depth Images,
3DV18(418-425)
IEEE DOI 1812
bone, diagnostic radiography, fats, image sensors, medical image processing, regression analysis, neural networks BibRef

Shi, V.Y.X.[Vania Yu-Xi], Komiak, S.[Sherrie], Komiak, P.[Paul],
Strategies to Reduce Uncertainty on the Diagnosis Quality in the Context of Virtual Consultation: Reviews of Virtual Consultation Systems,
DHM18(527-536).
Springer DOI 1807
BibRef

Bhattacharya, I.[Indrani], Sil, J.[Jaya],
Spatial Distribution Based Provisional Disease Diagnosis in Remote Healthcare,
PReMI17(601-607).
Springer DOI 1711
BibRef

Ooi, J.Y.L.[Jodene Yen Ling], Thomas, J.J.[J. Joshua],
DengueViz: A Knowledge-Based Expert System Integrated with Parallel Coordinates Visualization in the Dengue Diagnosis,
IVIC17(50-61).
Springer DOI 1711
BibRef

Lu, L.[Le], Devarakota, P.[Pandu], Vikal, S.[Siddharth], Wu, D.[Dijia], Zheng, Y.F.[Ye-Feng], Wolf, M.[Matthias],
Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation,
MCV13(161-174).
Springer DOI 1405
BibRef

Varjo, S.[Sami], Hannuksela, J.[Jari],
A Mobile Imaging System for Medical Diagnostics,
ACIVS13(215-226).
Springer DOI 1311
BibRef

Kuruvilla, A.[Anupama], Li, J.[Jian], Yeomans, P.H.[Pablo Hennings], Quelhas, P.[Pedro], Shaikh, N.[Nader], Hoberman, A.[Alejandro], Kovacevic, J.[Jelena],
Otitis media vocabulary and grammar,
ICIP12(2845-2848).
IEEE DOI 1302
diagnostic categories of otitis media BibRef

Morales, M.A.[Matías A.], Figueroa, R.L.[Rosa L.], Cabrera, J.E.[Jael E.],
Automatic Search of Nursing Diagnoses,
CIARP11(607-612).
Springer DOI 1111
BibRef

Rajendran, P., Madheswaran, M.,
Pruned Associative Classification Technique for the Medical Image Diagnosis System,
ICMV09(293-297).
IEEE DOI 0912
BibRef

Kauppi, T.[Tomi], Kamarainen, J.K.[Joni-Kristian], Lensu, L.[Lasse], Kalesnykiene, V.[Valentina], Sorri, I.[Iiris], Kälviäinen, H.[Heikki], Uusitalo, H.[Hannu], Pietilä, J.[Juhani],
Fusion of Multiple Expert Annotations and Overall Score Selection for Medical Image Diagnosis,
SCIA09(760-769).
Springer DOI 0906
BibRef

Cheaib, N.[Nader], Otmane, S.[Samir], Djemal, K.[Khalifa], Mallem, M.[Malik],
Groupware Design for Online Diagnosis Support,
IPTA08(1-7).
IEEE DOI 0811
BibRef

Spyridonos, P., Papageorgiou, E.I., Groumpos, P.P., Nikiforidis, G.N.,
Integration of Expert Knowledge and Image Analysis Techniques for Medical Diagnosis,
ICIAR06(II: 110-121).
Springer DOI 0610
BibRef

Thiran, J.P., Piscaglia, B., Piscaglia, P., Macq, B., Goudemant, J.F., Demeure, R.,
IMIS: A multi-platform software package for telediagnosis and 3D medical image processing,
ICIP96(II: 273-276).
IEEE DOI 9610
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications, Microscope Image Analysis .


Last update:May 10, 2021 at 18:51:10