20.7.2 Lungs, and Lung Cancer Image Analysis

Chapter Contents (Back)
Lungs. Lung Cancer. Medical, Applications. See also Pulmonary Nodules, Lung Nodules. See also Airway Tree Structure. See also Bronchoscopy Systems, Bronchial Analysis.

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Chien, Y.P., Fu, K.S.,
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Ballard, D.M., and Sklansky, J.,
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Pan, T.S.[Tin Su], King, M.A., de Vries, D.J., Ljungberg, M.,
Correction to 'Segmentation of the Body and Lungs from Compton Scatter and Photopeak Window Data,
MedImg(15), No. 3, June 1996, pp. 394.
IEEE Top Reference. 0203
BibRef

Crawford, C.R., King, K.F., Ritchie, C.J., Godwin, J.D.,
Respiratory compensation in projection imaging using a magnification and displacement model,
MedImg(15), No. 3, June 1996, pp. 327-332.
IEEE Top Reference. 0203
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Hasegawa, A., Lo, S.C.B., Lin, J.S., Freedman, M.T., Mun, S.K.,
A Shift-Invariant Neural Network for the Lung Field Segmentation in Chest Radiography,
VLSIVideo(18), No. 3, April 1998, pp. 241-250. 9806
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Hu, S., Hoffman, E.A., Reinhardt, J.M.,
Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images,
MedImg(20), No. 6, June 2001, pp. 490-498.
IEEE Top Reference. 0110
BibRef

Zhang, L., Hoffman, E.A., Reinhardt, J.M.,
Atlas-Driven Lung Lobe Segmentation in Volumetric X-Ray CT Images,
MedImg(25), No. 1, January 2006, pp. 1-16.
IEEE DOI 0601
BibRef

Ukil, S., Reinhardt, J.M.,
Anatomy-Guided Lung Lobe Segmentation in X-Ray CT Images,
MedImg(28), No. 2, February 2009, pp. 202-214.
IEEE DOI 0902
BibRef

Cao, K.[Kunlin], Ding, K.[Kai], Christensen, G.E.[Gary E.], Raghavan, M.L.[Madhavan L.], Amelon, R.E.[Ryan E.], Reinhardt, J.M.[Joseph M.],
Unifying Vascular Information in Intensity-Based Nonrigid Lung CT Registration,
WBIR10(1-12).
Springer DOI 1007
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Blechschmidt, R.A., Werthschutzky, R., Lorcher, U.,
Automated CT image evaluation of the lung: a morphology-based concept,
MedImg(20), No. 5, May 2001, pp. 434-442.
IEEE Top Reference. 0110
BibRef

van Ginneken, B., ter Haar Romeny, B.M., Viergever, M.A.,
Computer-aided diagnosis in chest radiography: a survey,
MedImg(20), No. 12, December 2001, pp. 1228-1241.
IEEE Top Reference. 0201
Survey, Radiography. BibRef

van Ginneken, B.[Bram], Katsuragawa, S., ter Haar Romeny, B.M., Doi, K.[Kunio], Viergever, M.A.,
Automatic detection of abnormalities in chest radiographs using local texture analysis,
MedImg(21), No. 2, February 2002, pp. 139-149.
IEEE Top Reference. 0204
BibRef

Sluimer, I., Prokop, M., van Ginneken, B.,
Toward Automated Segmentation of the Pathological Lung in CT,
IP(14), No. 9, September 2005, pp. 1360-1371.
IEEE DOI 0508
BibRef

Sluimer, I., Schilham, A.M.R., Prokop, M., van Ginneken, B.,
Computer Analysis of Computed Tomography Scans of the Lung: A Survey,
MedImg(25), No. 4, April 2006, pp. 385-405.
IEEE DOI 0604
Survey, Tomography. BibRef

Schilham, A.M.R., van Ginneken, B., Gietema, H., Prokop, M.,
Local Noise Weighted Filtering for Emphysema Scoring of Low-Dose CT Images,
MedImg(25), No. 4, April 2006, pp. 451-463.
IEEE DOI 0604
BibRef

Loog, M., van Ginneken, B.,
Bony Structure Suppression in Chest Radiographs,
CVAMIA06(166-177).
Springer DOI 0605
BibRef

Loog, M., van Ginneken, B.,
Static posterior probability fusion for signal detection: Applications in the detection of interstitial diseases in chest radiographs,
ICPR04(I: 644-647).
IEEE DOI 0409
BibRef

Fan, L.X.[Lie-Xiang], Santago, P., Jiang, H.[Huai], Herrington, D.M.,
Ultrasound measurement of brachial flow-mediated vasodilator response,
MedImg(19), No. 6, June 2000, pp. 621-631.
IEEE Top Reference. 0110
BibRef

Frerichs, I., Hinz, J., Herrmann, P., Weisser, G., Hahn, G., Quintel, M., Hellige, G.,
Regional lung perfusion as determined by electrical impedance tomography in comparison with electron beam ct imaging,
MedImg(21), No. 6, June 2002, pp. 646-652.
IEEE Top Reference. 0208
BibRef

Lee, Z.H.[Zheng-Hong], Berridge, M.S.,
PET imaging-based evaluation of aerosol drugs and their delivery devices: nasal and pulmonary studies,
MedImg(21), No. 10, October 2002, pp. 1324-1331.
IEEE Top Reference. 0301
BibRef

Sonka, M., Liang, W.D.[Wei-Dong], Lauer, R.M.,
Automated analysis of brachial ultrasound image sequences: early detection of cardiovascular disease via surrogates of endothelial function,
MedImg(21), No. 10, October 2002, pp. 1271-1279.
IEEE Top Reference. 0301
BibRef

Koning, G., Tuinenburg, J.C., Hekking, E., Peelen, J., van Weert, A.W.M., Bergkamp, D., Goedhart, B., Reiber, J.H.C.,
A novel measurement technique to assess the effects of coronary brachytherapy in clinical trials,
MedImg(21), No. 10, October 2002, pp. 1254-1263.
IEEE Top Reference. 0301
BibRef

Masutani, Y., MacMahon, H., Doi, K.[Kunio],
Computerized detection of pulmonary embolism in spiral CT angiography based on volumetric image analysis,
MedImg(21), No. 12, December 2002, pp. 1517-1523.
IEEE Top Reference. 0301
BibRef

Ray, N., Acton, S.T., Altes, T., de Lange, E.E., Brookeman, J.R.,
Merging parametric active contours within homogeneous image regions for MRI-based lung segmentation,
MedImg(22), No. 2, February 2003, pp. 189-199.
IEEE Top Reference. 0304
BibRef

Ray, N., Acton, S.T., Altes, T., de Lange, E.E.,
MRI Ventilation Analysis by Merging Parametric Active Contours,
ICIP01(II: 861-864).
IEEE DOI 0108
BibRef

Behrens, T., Rohr, K.[Karl], Stiehl, H.S.[H. Siegfried],
Robust segmentation of tubular structures in 3-D medical images by parametric object detection and tracking,
SMC-B(33), No. 4, August 2003, pp. 554-561.
IEEE Abstract. 0308
BibRef
Earlier:
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3-D Medical Images,
VMV01(xx-yy).
PDF File. 0209
BibRef

Xu, Y., Sonka, M., McLennan, G., Guo, J., Hoffman, E.A.,
MDCT-Based 3-D Texture Classification of Emphysema and Early Smoking Related Lung Pathologies,
MedImg(25), No. 4, April 2006, pp. 464-475.
IEEE DOI 0604
BibRef

Dawood, M., Lang, N., Jiang, X., Schafers, K.P.,
Lung Motion Correction on Respiratory Gated 3-D PET/CT Images,
MedImg(25), No. 4, April 2006, pp. 476-485.
IEEE DOI 0604
BibRef

Dawood, M., Buther, F., Jiang, X., Schafers, K.P.,
Respiratory Motion Correction in 3-D PET Data With Advanced Optical Flow Algorithms,
MedImg(27), No. 8, August 2008, pp. 1164-1175.
IEEE DOI 0808
BibRef

Dawood, M., Buther, F., Lang, N., Jiang, X., Schafers, K.P.,
Transforming Static CT in Gated PET/CT Studies to Multiple Respiratory Phases,
ICPR06(I: 1026-1029).
IEEE DOI 0609
BibRef

Ue, H., Haneishi, H., Iwanaga, H., Suga, K.,
Nonlinear Motion Correction of Respiratory-Gated Lung SPECT Images,
MedImg(25), No. 4, April 2006, pp. 486-495.
IEEE DOI 0604
BibRef

Jiang, M.[Ming], Ji, Q.A.[Qi-Ang], McEwen, B.F.[Bruce F.],
Automated Extraction of Fine Features of Kinetochore Microtubules and Plus-Ends From Electron Tomography Volume,
IP(15), No. 7, July 2006, pp. 2035-2048.
IEEE DOI 0606
BibRef
Earlier:
Automated Extraction of Microtubules and Their Plus-Ends,
WACV05(I: 336-341).
IEEE DOI 0502
BibRef

Liang, L.C.[Li-Chen], Ji, Q.A.[Qi-Ang], McEwen, B.F.,
Extraction of 3d microtubules axes from cellular electron tomography images,
ICPR02(I: 804-807).
IEEE DOI 0211
BibRef

Luo, H., Luo, J.,
Robust Online Orientation Correction for Radiographs in PACS Environments,
MedImg(25), No. 10, October 2006, pp. 1370-1379.
IEEE DOI 0609
BibRef

Zeng, R., Fessler, J.A., Balter, J.M.,
Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration,
MedImg(26), No. 2, February 2007, pp. 153-163.
IEEE DOI 0702
BibRef

Singh, V.[Vikas], Mukherjee, L.[Lopamudra], Xu, J.H.[Jin-Hui], Hoffmann, K.R., Dinu, P.M., Podgorsak, M.,
Brachytherapy Seed Localization Using Geometric and Linear Programming Techniques,
MedImg(26), No. 9, September 2007, pp. 1291-1304.
IEEE DOI 0710
BibRef

Mukherjee, L.[Lopamudra], Singh, V.[Vikas], Peng, J.M.[Ji-Ming], Xu, J.H.[Jin-Hui], Zeitz, M.J.[Michael J.], Berezney, R.[Ronald],
Generalized Median Graphs: Theory and Applications,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Miller, G.W., Carl, M., Mata, J.F., Cates, Jr., G.D., Mugler, III, J.P.,
Simulations of Short-Time Diffusivity in Lung Airspaces and Implications for S/V Measurements Using Hyperpolarized-Gas MRI,
MedImg(26), No. 11, November 2007, pp. 1456-1463.
IEEE DOI 0709
BibRef

Sarrut, D., Delhay, S., Villard, P.F., Boldea, V., Beuve, M., Clarysse, P.,
A Comparison Framework for Breathing Motion Estimation Methods From 4-D Imaging,
MedImg(26), No. 12, December 2007, pp. 1636-1648.
IEEE DOI 0712
BibRef

Lohscheller, J., Eysholdt, U., Toy, H., Dollinger, M.,
Phonovibrography: Mapping High-Speed Movies of Vocal Fold Vibrations Into 2-D Diagrams for Visualizing and Analyzing the Underlying Laryngeal Dynamics,
MedImg(27), No. 3, March 2008, pp. 300-309.
IEEE DOI 0803
BibRef

Luegmair, G., Mehta, D.D., Kobler, J.B., Dollinger, M.,
Three-Dimensional Optical Reconstruction of Vocal Fold Kinematics Using High-Speed Video With a Laser Projection System,
MedImg(34), No. 12, December 2015, pp. 2572-2582.
IEEE DOI 1601
biomechanics BibRef

Luegmair, G., Kniesburges, S., Zimmermann, M., Sutor, A., Eysholdt, U., Dollinger, M.,
Optical Reconstruction of High-Speed Surface Dynamics in an Uncontrollable Environment,
MedImg(29), No. 12, December 2010, pp. 1979-1991.
IEEE DOI 1101
BibRef

Shi, Y., Qi, F., Xue, Z., Chen, L., Ito, K., Matsuo, H., Shen, D.,
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics,
MedImg(27), No. 4, April 2008, pp. 481-494.
IEEE DOI 0804
BibRef

Smal, I., Draegestein, K., Galjart, N., Niessen, W.J., Meijering, E.H.W.,
Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images: Application to Microtubule Growth Analysis,
MedImg(27), No. 6, June 2008, pp. 789-804.
IEEE DOI 0711
BibRef

Pattichis, M.S., Cacoullos, T., Soliz, P.[Peter],
New models for region of interest reader classification analysis in chest radiographs,
PR(42), No. 6, June 2009, pp. 1058-1066.
Elsevier DOI 0902
Region of interest classification; Chest radiographs; ROC analysis; Binary classification; Pneumoconiosis; Modeling biomedical systems; Logic, set theory, and algebra; Mathematical procedures and computer techniques BibRef

Ramachandran, J., Pattichis, M.S., Soliz, P.,
Pre-classification of chest radiographs for improved active shape model segmentation of ribs,
Southwest02(188-192).
IEEE Top Reference. 0208
BibRef

Pattichis, M.S., Pattichis, C.S., Christodoulou, C.I., James, D., Ketai, L., Soliz, P.,
A screening system for the assessment of opacity profusion in chest radiographs of miners with pneumoconiosis,
Southwest02(130-133).
IEEE Top Reference. 0208
BibRef

Pattichis, M.S., Muralidharan, H., Pattichis, C.S., Soliz, P.,
New image processing models for opacity image analysis in chest radiographs,
Southwest02(260-264).
IEEE Top Reference. 0208
BibRef

Malik, A.S.[Aamir Saeed], Choi, T.S.[Tae-Sun],
Differentiating Honeycombed Images from Normal HRCT Lung Images,
IEICE(E92-D), No. 5, May 2009, pp. 1218-1221.
WWW Link. 0907
BibRef
Earlier:
Multiscale Segmentation of HRCT Images Using Bipolar Incoherent Filtering,
ISVC05(76-83).
Springer DOI 0512
BibRef

Bouma, H., Sonnemans, J.J., Vilanova, A., Gerritsen, F.A.,
Automatic Detection of Pulmonary Embolism in CTA Images,
MedImg(28), No. 8, August 2009, pp. 1223-1230.
IEEE DOI 0909
BibRef

Elizabeth, D.S.[D. Shiloah], Kannan, A., Nehemiah, H.K.[H. Khanna],
Computer-aided diagnosis system for the detection of bronchiectasis in chest computed tomography images,
IJIST(19), No. 4, December 2009, pp. 290-298.
DOI Link 0912
BibRef

Elizabeth, D.S., Nehemiah, H.K., Retmin Raj, C.S., Kannan, A.,
Computer-aided diagnosis of lung cancer based on analysis of the significant slice of chest computed tomography image,
IET-IPR(6), No. 6, 2012, pp. 697-705.
DOI Link 1210
BibRef

Sorensen, L., Shaker, S.B., de Bruijne, M.,
Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns,
MedImg(29), No. 2, February 2010, pp. 559-569.
IEEE DOI 1002
BibRef

Huysmans, T.[Toon], Sijbers, J.[Jan], Brigitte, V.[Verdonk],
Automatic Construction of Correspondences for Tubular Surfaces,
PAMI(32), No. 4, April 2010, pp. 636-651.
IEEE DOI 1003
Obtain correspondences for tubular shapes. MDL used to optimize parameterization. BibRef

Pinho, R.[Romulo], Sijbers, J.[Jan], Huysmans, T.[Toon],
Segmentation of the Human Trachea Using Deformable Statistical Models of Tubular Shapes,
ACIVS07(531-542).
Springer DOI 0708
BibRef

van Rikxoort, E.M., Prokop, M., de Hoop, B., Viergever, M.A., Pluim, J.P.W., van Ginneken, B.,
Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures,
MedImg(29), No. 6, June 2010, pp. 1286-1296.
IEEE DOI 1007
BibRef

Lassen, B., van Rikxoort, E.M., Schmidt, M., Kerkstra, S., van Ginneken, B., Kuhnigk, J.M.,
Automatic Segmentation of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi,
MedImg(32), No. 2, February 2013, pp. 210-222.
IEEE DOI 1301
BibRef

Ehrhardt, J.[Jan], Werner, R., Schmidt-Richberg, A.[Alexander], Handels, H.[Heinz],
Statistical Modeling of 4D Respiratory Lung Motion Using Diffeomorphic Image Registration,
MedImg(30), No. 2, February 2011, pp. 251-265.
IEEE DOI 1102
BibRef
Earlier: A1, A3, A4:
A Variational Approach for Combined Segmentation and Estimation of Respiratory Motion in Temporal Image Sequences,
MMBIA07(1-7).
IEEE DOI 0710
BibRef

Schmidt-Richberg, A.[Alexander], Ehrhardt, J.[Jan], Werner, R.[René], Handels, H.[Heinz],
Fast Explicit Diffusion for Registration with Direction-Dependent Regularization,
WBIR12(220-228).
Springer DOI 1208
BibRef

Kruger, J.[Julia], Ehrhardt, J.[Jan], Handels, H.[Heinz],
Probabilistic Appearance Models for Segmentation and Classification,
ICCV15(1698-1706)
IEEE DOI 1602
Adaptation models BibRef

Dawoud, A.[Amer],
Lung segmentation in chest radiographs by fusing shape information in iterative thresholding,
IET-CV(5), No. 3, 2011, pp. 185-190.
DOI Link 1106
BibRef
Earlier:
Fusing Shape Information in Lung Segmentation in Chest Radiographs,
ICIAR10(II: 70-78).
Springer DOI 1006
BibRef

Feulner, J., Zhou, S.K., Hammon, M., Seifert, S., Huber, M., Comaniciu, D., Hornegger, J., Cavallaro, A.,
A Probabilistic Model for Automatic Segmentation of the Esophagus in 3-D CT Scans,
MedImg(30), No. 6, June 2011, pp. 1252-1264.
IEEE DOI 1101
BibRef

Yang, Q.[Qian], Karpikov, A.[Alexander], Toomre, D.[Derek], Duncan, J.S.[James S.],
3-D Reconstruction of Microtubules From Multi-Angle Total Internal Reflection Fluorescence Microscopy Using Bayesian Framework,
IP(20), No. 8, August 2011, pp. 2248-2259.
IEEE DOI 1108
BibRef
Earlier:
3-D reconstruction and measurement of microtubules from multiple angle-total internal reflection fluorescence microscopy,
MMBIA09(172-177).
IEEE DOI 0906
BibRef

Massoptier, L.[Laurent], Misra, A.[Avishkar], Sowmya, A.[Arcot], Casciaro, S.[Sergio],
Combining Graph-cut Technique And Anatomical Knowledge For Automatic Segmentation Of Lungs Affected By Diffuse Parenchymal Disease In Hrct Images,
IJIG(11), No. 4, October 2011, pp. 509-529.
DOI Link 1201
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Sorensen, L., Nielsen, M., Lo, P.[Pechin], Ashraf, H., Pedersen, J.H., de Bruijne, M.,
Texture-Based Analysis of COPD: A Data-Driven Approach,
MedImg(31), No. 1, January 2012, pp. 70-78.
IEEE DOI 1201
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Sun, S., Bauer, C., Beichel, R.,
Automated 3-D Segmentation of Lungs With Lung Cancer in CT Data Using a Novel Robust Active Shape Model Approach,
MedImg(31), No. 2, February 2012, pp. 449-460.
IEEE DOI 1202
BibRef

Zhang, Y.[Yu], Wu, G.R.[Guo-Rong], Yap, P.T.[Pew-Thian], Feng, Q.J.[Qian-Jin], Lian, J.[Jun], Chen, W.F.[Wu-Fan], Shen, D.G.[Ding-Gang],
Hierarchical Patch-Based Sparse Representation: A New Approach for Resolution Enhancement of 4D-CT Lung Data,
MedImg(31), No. 11, November 2012, pp. 1993-2005.
IEEE DOI 1211
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Earlier:
Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation,
CVPR12(925-931).
IEEE DOI 1208
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Gu, Y.H.[Yu-Hua], Kumar, V.[Virendra], Hall, L.O.[Lawrence O.], Goldgof, D.B.[Dmitry B.], Li, C.Y.[Ching-Yen], Korn, R.[René], Bendtsen, C.[Claus], Velazquez, E.R.[Emmanuel Rios], Dekker, A.[Andre], Aerts, H.[Hugo], Lambin, P.[Philippe], Li, X.L.[Xiu-Li], Tian, J.[Jie], Gatenby, R.A.[Robert A.], Gillies, R.J.[Robert J.],
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach,
PR(46), No. 3, March 2013, pp. 692-702.
Elsevier DOI 1212
Image features; Delineation; Lung tumor; Lesion; CT; Region growing; Ensemble segmentation BibRef

Martins, A.L.D.[Ana L. D.], Mascarenhas, N.D.A.[Nelson D.A.],
Spatio-Temporal Resolution Enhancement of Vocal Tract MRI Sequences: A Comparison Among Wiener Filter Based Methods,
JMIV(45), No. 3, March 2013, pp. 200-213.
WWW Link. 1301
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Song, Y.[Yang], Cai, W.D.[Wei-Dong], Zhou, Y., Feng, D.D.[David Dagan],
Feature-Based Image Patch Approximation for Lung Tissue Classification,
MedImg(32), No. 4, April 2013, pp. 797-808.
IEEE DOI 1304
BibRef

Zhang, F.[Fan], Song, Y.[Yang], Cai, W.D.[Wei-Dong], Zhou, Y.[Yun], Shan, S.M.[Shi-Min], Feng, D.D.[D. Dagan],
Context Curves for Classification of Lung Nodule Images,
DICTA13(1-7)
IEEE DOI 1402
computerised tomography BibRef

Song, Y.[Yang], Li, Q.[Qing], Huang, H.[Heng], Feng, D.[Dagan], Chen, M.[Mei], Cai, W.D.[Wei-Dong],
Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification,
MedImg(36), No. 8, August 2017, pp. 1636-1649.
IEEE DOI 1708
BibRef
Earlier:
Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors,
BioImage16(I: 306-317).
Springer DOI 1611
Biomarkers, Biomedical imaging, Breast cancer, Feature extraction, Microscopy, Fisher vector, dimensionality reduction, discriminative learning, feature, learning BibRef

Song, Y.[Yang], Cai, W.D.[Wei-Dong], Eberl, S.[Stefan], Fulham, M.J.[Michael J.], Feng, D.D.[David Dagan],
Structure-Adaptive Feature Extraction and Representation for Multi-modality Lung Images Retrieval,
DICTA10(152-157).
IEEE DOI 1012
BibRef

Song, Y.[Yang], Cai, W.D.[Wei-Dong], Feng, D.D.,
Microscopic Image Segmentation with Two-Level Enhancement of Feature Discriminability,
DICTA12(1-6).
IEEE DOI 1303
BibRef

Xu, R.[Rui], Hirano, Y.S.[Yasu-Shi], Tachibana, R.[Rie], Kido, S.[Shoji],
A Bag-of-Features Approach to Classify Six Types of Pulmonary Textures on High-Resolution Computed Tomography,
IEICE(E96-D), No. 4, April 2013, pp. 845-855.
WWW Link. 1304
BibRef

Heinrich, H.P., Jenkinson, M., Brady, M., Schnabel, J.A.,
MRF-Based Deformable Registration and Ventilation Estimation of Lung CT,
MedImg(32), No. 7, 2013, pp. 1239-1248.
IEEE DOI 1307
Markov processes BibRef

Wang, C.W.[Ching-Wei], Yu, C.P.[Cheng-Ping],
Automated morphological classification of lung cancer subtypes using H&E tissue images,
MVA(24), No. 7, October 2013, pp. 1383-1391.
WWW Link. 1309
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Candemir, S., Jaeger, S., Palaniappan, K., Musco, J.P., Singh, R.K., Xue, Z.Y.[Zhi-Yun], Karargyris, A., Antani, S., Thoma, G., McDonald, C.J.,
Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration,
MedImg(33), No. 2, February 2014, pp. 577-590.
IEEE DOI 1403
Radon transforms BibRef

Choi, S.W.[Seung-Wook], Chang, Y.J.[Yong-Jun], Kim, N.[Namkug], Park, S.H.[Sung Ho], Song, S.Y.[Si Yeol], Kang, H.S.[Heung Sik],
Performance enhancement of respiratory tumor motion prediction using adaptive support vector regression: Comparison with adaptive neural network method,
IJIST(24), No. 1, 2014, pp. 8-15.
DOI Link 1403
respiratory motion BibRef

Devan, L.[Lakshmi], Santosham, R.[Roy], Hariharan, R.[Ranganathan],
Automated texture-based characterization of fibrosis and carcinoma using low-dose lung CT images,
IJIST(24), No. 1, 2014, pp. 39-44.
DOI Link 1403
artificial neural network BibRef

Emrani, S., Gentimis, T., Krim, H.,
Persistent Homology of Delay Embeddings and its Application to Wheeze Detection,
SPLetters(21), No. 4, April 2014, pp. 459-463.
IEEE DOI 1403
Correlation BibRef

Hame, Y., Angelini, E.D., Hoffman, E., Barr, R.G., Laine, A.F.,
Adaptive Quantification and Longitudinal Analysis of Pulmonary Emphysema With a Hidden Markov Measure Field Model,
MedImg(33), No. 7, July 2014, pp. 1527-1540.
IEEE DOI 1407
Computed tomography BibRef

Lv, H., Li, W., Li, Z., Zhang, Y., Jiao, T., Xue, H., Liu, M., Jing, X., Wang, J.,
Characterization and Identification of IR-UWB Respiratory-Motion Response of Trapped Victims,
GeoRS(52), No. 11, November 2014, pp. 7195-7204.
IEEE DOI 1407
Clutter BibRef

Shao, Y.Q.[Ye-Qin], Gao, Y.Z.[Yao-Zong], Guo, Y.R.[Yan-Rong], Shi, Y.H.[Yong-Hong], Yang, X.[Xin], Shen, D.G.[Ding-Gang],
Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning,
MedImg(33), No. 9, September 2014, pp. 1761-1780.
IEEE DOI 1410
diagnostic radiography BibRef

Nigmatullin, R.R., Ionescu, C., Baleanu, D.,
NIMRAD: novel technique for respiratory data treatment,
SIViP(8), No. 8, November 2014, pp. 1517-1532.
Springer DOI 1411
the non-invasive methods of the reduced analysis of data. BibRef

Mansoor, A., Bagci, U., Xu, Z.Y.[Zi-Yue], Foster, B., Olivier, K.N., Elinoff, J.M., Suffredini, A.F., Udupa, J.K., Mollura, D.J.,
A Generic Approach to Pathological Lung Segmentation,
MedImg(33), No. 12, December 2014, pp. 2293-2310.
IEEE DOI 1412
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And: Correction: MedImg(34), No. 1, January 2015, pp. 354-354.
IEEE DOI 1502
Computed tomography; Fuzzy set theory; Image segmentation;Lungs BibRef

Fuerst, B., Mansi, T., Carnis, F., Salzle, M., Zhang, J., Declerck, J., Boettger, T., Bayouth, J., Navab, N., Kamen, A.,
Patient-Specific Biomechanical Model for the Prediction of Lung Motion From 4-D CT Images,
MedImg(34), No. 2, February 2015, pp. 599-607.
IEEE DOI 1502
Biological system modeling BibRef

Kecheril, S.S.[S. Sajith], Venkataraman, D., Suganthi, J., Sujathan, K.,
Automated lung cancer detection by the analysis of glandular cells in sputum cytology images using scale space features,
SIViP(9), No. 4, May 2015, pp. 851-863.
Springer DOI 1504
BibRef

Philipsen, R.H.H.M., Maduskar, P., Hogeweg, L., Melendez, J., Sanchez, C.I., van Ginneken, B.,
Localized Energy-Based Normalization of Medical Images: Application to Chest Radiography,
MedImg(34), No. 9, September 2015, pp. 1965-1975.
IEEE DOI 1509
Biomedical imaging BibRef

Ju, W.[Wei], Xiang, D.[Deihui], Zhang, B.[Bin], Wang, L.R.[Li-Rong], Kopriva, I., Chen, X.J.[Xin-Jian],
Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images,
IP(24), No. 12, December 2015, pp. 5854-5867.
IEEE DOI 1512
BibRef
Earlier: Correction: IP(25), No. 3, March 2016, pp. 1192-1192.
IEEE DOI 1602
Atomic beams; Lungs; Tumors. computerised tomography BibRef

Chong, D.Y., Kim, H.J., Lo, P., Young, S., McNitt-Gray, M.F., Abtin, F., Goldin, J.G., Brown, M.S.,
Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial Lung Disease Patterns in Computed Tomography Using 3D Texture Features,
MedImg(35), No. 1, January 2016, pp. 144-157.
IEEE DOI 1601
Computed tomography BibRef

Hurtado, D.E., Villarroel, N., Retamal, J., Bugedo, G., Bruhn, A.,
Improving the Accuracy of Registration-Based Biomechanical Analysis: A Finite Element Approach to Lung Regional Strain Quantification,
MedImg(35), No. 2, February 2016, pp. 580-588.
IEEE DOI 1602
Approximation methods BibRef

Anthimopoulos, M., Christodoulidis, S., Ebner, L., Christe, A., Mougiakakou, S.,
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network,
MedImg(35), No. 5, May 2016, pp. 1207-1216.
IEEE DOI 1605
Computed tomography BibRef

Xiao, C., Stoel, B.C., Bakker, M.E., Peng, Y., Stolk, J., Staring, M.,
Pulmonary Fissure Detection in CT Images Using a Derivative of Stick Filter,
MedImg(35), No. 6, June 2016, pp. 1488-1500.
IEEE DOI 1606
Computed tomography BibRef

Islam, M.S.[M. Sirajul], Kitchen, M.J.[Marcus J.],
GPU accelerated regional lung air volume measurements from phase contrast X-ray images,
RealTimeIP(12), No. 1, June 2016, pp. 43-54.
WWW Link. 1606
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Ahmed, B., Khan, H.M., Choi, J., Gutierrez-Osuna, R.,
ReBreathe: A Calibration Protocol that Improves Stress/Relax Classification by Relabeling Deep Breathing Relaxation Exercises,
AffCom(7), No. 2, April 2016, pp. 150-161.
IEEE DOI 1606
Biomedical monitoring BibRef

Semmler, M., Kniesburges, S., Birk, V., Ziethe, A., Patel, R., Döllinger, M.,
3D Reconstruction of Human Laryngeal Dynamics Based on Endoscopic High-Speed Recordings,
MedImg(35), No. 7, July 2016, pp. 1615-1624.
IEEE DOI 1608
biomedical optical imaging BibRef

Procházka, A.[Aleš], Schätz, M.[Martin], Centonze, F.[Fabio], Kuchynka, J.[Jirí], Vyšata, O.[Oldrich], Vališ, M.[Martin],
Extraction of breathing features using MS Kinect for sleep stage detection,
SIViP(10), No. 7, October 2016, pp. 1279-1286.
Springer DOI 1609
BibRef

Ionescu, C.M., Tenreiro Machado, J.A., De Keyser, R.,
Analysis of the Respiratory Dynamics During Normal Breathing by Means of Pseudophase Plots and Pressure-Volume Loops,
SMCS(43), No. 1, January 2013, pp. 53-62.
IEEE DOI 1301
BibRef

van Tulder, G.[Gijs], de Bruijne, M.[Marleen],
Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines,
MedImg(35), No. 5, May 2016, pp. 1262-1272.
IEEE DOI 1605
BibRef
Earlier:
Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine,
MCV14(47-58).
Springer DOI 1501
Computed tomography BibRef

Ross, J.C., Castaldi, P.J., Cho, M.H., Chen, J., Chang, Y., Dy, J.G., Silverman, E.K., Washko, G.R., José Estépar, R.S.,
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes,
MedImg(36), No. 1, January 2017, pp. 343-354.
IEEE DOI 1701
Bayes methods BibRef

Fischer, P., Pohl, T., Faranesh, A., Maier, A., Hornegger, J.,
Unsupervised Learning for Robust Respiratory Signal Estimation From X-Ray Fluoroscopy,
MedImg(36), No. 4, April 2017, pp. 865-877.
IEEE DOI 1704
Correlation BibRef

Bragman, F.J.S., McClelland, J.R., Jacob, J., Hurst, J.R., Hawkes, D.J.,
Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior,
MedImg(36), No. 8, August 2017, pp. 1650-1663.
IEEE DOI 1708
Biomedical imaging, Brain modeling, Image segmentation, Lungs, Probabilistic logic, Sociology, Statistics, Lobe segmentation, fissure segmentation, pulmonary, image, analysis BibRef

Rühaak, J., Polzin, T., Heldmann, S., Simpson, I.J.A., Handels, H., Modersitzki, J., Heinrich, M.P.,
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration,
MedImg(36), No. 8, August 2017, pp. 1746-1757.
IEEE DOI 1708
Computed tomography, Image edge detection, Jacobian matrices, Lungs, Optimization, Radio frequency, Robustness, COPD, Computed tomography, Jacobian determinant, Markov random fields, image registration, keypoints, lung BibRef

Muller, P.A.[Peter A.], Mueller, J.L.[Jennifer L.], Mellenthin, M.M.[Michelle M.],
Real-Time Implementation of Caldeórn's Method on Subject-Specific Domains,
MedImg(36), No. 9, September 2017, pp. 1868-1875.
IEEE DOI 1709
electric impedance imaging, EIT, lung, electrical impedance tomography, human thorax, BibRef


Erden, F., Cetin, A.E.,
Period Estimation of an Almost Periodic Signal Using Persistent Homology With Application to Respiratory Rate Measurement,
SPLetters(24), No. 7, July 2017, pp. 958-962.
IEEE DOI 1706
Delays, Estimation, Harmonic analysis, Reliability, Sensor arrays, Three-dimensional displays, Topology, Periodicity, persistent homology, pyro-electric infrared (PIR) sensor, respiratory rate (RR), topological, data, analysis BibRef

Martinez, M., Stiefelhagen, R.,
Breathing Rate Monitoring during Sleep from a Depth Camera under Real-Life Conditions,
WACV17(1168-1176)
IEEE DOI 1609
Biomedical monitoring, Cameras, Monitoring, Sleep apnea, Temperature measurement, Trajectory BibRef

Meinich-Bache, Ř.[Řyvind], Engan, K.[Kjersti], Eftestřl, T.[Trygve], Austvoll, I.[Ivar],
Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation,
SCIA17(II: 53-64).
Springer DOI 1706
BibRef

Wang, C.L.[Chun-Liang],
Segmentation of Multiple Structures in Chest Radiographs Using Multi-task Fully Convolutional Networks,
SCIA17(II: 282-289).
Springer DOI 1706
BibRef

Kumar, D.[Devinder], Chung, A.G.[Audrey G.], Shaifee, M.J.[Mohammad J.], Khalvati, F.[Farzad], Haider, M.A.[Masoom A.], Wong, A.[Alexander],
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction,
ICIAR17(54-62).
Springer DOI 1706
BibRef

Makkapati, V.V.[Vishnu V.], Rambhatla, S.S.,
Remote monitoring of camera based respiration rate estimated by using occlusion of dot pattern,
ANTS16(1-5).
WWW Link. BibRef 1600

Makkapati, V.V.[Vishnu V.], Raman, P.[Pujita], Pai, G.[Gautam],
Camera Based Respiration Rate of Neonates by Modeling Movement of Chest and Abdomen Region,
SPCOM16().
IEEE DOI 1612
BibRef

Yu, H.[Haobo], Ho, H.[Harvey], Bartlett, A.[Adam], Hunter, P.[Peter],
Modelling Respiration Induced Torso Deformation Using a Mesh Fitting Algorithm,
MCBMIIA16(II: 625-634).
Springer DOI 1704
BibRef

Hamzah, M.F.M., Kasim, R.M., Yunus, A., Rijal, O.M., Noor, N.M.,
Detection of Interstitial Lung Disease using correlation and regression methods on texture measure,
IVPR17(1-4)
IEEE DOI 1704
Computed tomography BibRef

Noor, N.M.,
Keynote speaker: Computer aided diagnostics in medicine: Discrimination for some lung diseases,
IVPR17(1-1)
IEEE DOI 1704
Biographies;Biomedical imaging;Diseases;IEEE Sections BibRef

Wan Ahmad, W.S.H.M.[Wan Siti Halimatul Munirah], Wan Zaki, W.M.D.[Wan Mimi Diyana], Ahmad Fauzi, M.F.[Mohammad Faizal], Tan, W.H.[Wooi Haw],
Classification of Infection and Fluid Regions in Chest X-Ray Images,
DICTA16(1-5)
IEEE DOI 1701
Feature extraction BibRef

Zhao, B., Christensen, G.E., Song, J.H., Pan, Y., Gerard, S.E., Reinhardt, J.M., Du, K., Patton, T., Bayouth, J.M., Hugo, G.D.,
Tissue-Volume Preserving Deformable Image Registration for 4DCT Pulmonary Images,
WBIR16(481-489)
IEEE DOI 1612
4D image registration BibRef

Szmul, A., Papiez, B.W., Bates, R., Hallack, A., Schnabel, J.A., Grau, V.,
Graph Cuts-Based Registration Revisited: A Novel Approach for Lung Image Registration Using Supervoxels and Image-Guided Filtering,
WBIR16(592-599)
IEEE DOI 1612
discrete optimization BibRef

Binder, P.[Polina], Batmanghelich, N.K.[Nematollah K.], Estepar, R.S.J.[Raul San Jose], Golland, P.[Polina],
Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort,
MLMI16(180-187).
Springer DOI 1611
BibRef

Wang, X., Lu, L., Shin, H.C., Kim, L., Bagheri, M., Nogues, I., Yao, J., Summers, R.M.,
Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition,
WACV17(998-1007)
IEEE DOI 1609
Biomedical imaging, Computational modeling, Feature extraction, Image recognition, Image representation, Optimization, Radiology BibRef

Shin, H.C., Roberts, K., Lu, L., Demner-Fushman, D., Yao, J., Summers, R.M.,
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation,
CVPR16(2497-2506)
IEEE DOI 1612
BibRef

Gao, M.[Mingchen], Xu, Z.Y.[Zi-Yue], Lu, L.[Le], Harrison, A.P.[Adam P.], Summers, R.M.[Ronald M.], Mollura, D.J.[Daniel J.],
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection,
MLMI16(147-155).
Springer DOI 1611
BibRef

Tveit, D.M., Engan, K., Austvoll, I., Meinich-Bache, Ř.,
Motion based detection of respiration rate in infants using video,
ICIP16(1225-1229)
IEEE DOI 1610
Cameras BibRef

Soliman, A., Khalifa, F., Shaffie, A., Liu, N., Dunlap, N., Wang, B., Elmaghraby, A., Gimel'farb, G., El-Baz, A.,
Image-based CAD system for accurate identification of lung injury,
ICIP16(121-125)
IEEE DOI 1610
Adaptation models BibRef

Noor, N.M.[Norliza Mohd.], Rijal, O.M.[Omar Mohd.], Than, J.C.M.[Joel Chia Ming], Kassim, R.M.[Rosminah M.], Yunus, A.[Ashari],
Regression as a Tool to Measure Segmentation Quality and Preliminary Indicator of Diseased Lungs,
PSIVT15(502-511).
Springer DOI 1602
BibRef

Xie, C.[Chao], Zhou, W.[Wengang], Ding, W.P.[Wei-Ping], Li, H.Q.A.[Hou-Qi-Ang], Li, W.P.[Wei-Ping],
Respiration Motion State Estimation on 4D CT Rib Cage Images,
MMMod16(I: 818-828).
Springer DOI 1601
BibRef

Soliman, A.[Ahmed], Elnakib, A.[Ahmed], Khalifa, F.[Fahmi], El-Ghar, M.A.[Mohamed Abou], El-Baz, A.[Ayman],
Segmentation of pathological lungs from CT chest images,
ICIP15(3655-3659)
IEEE DOI 1512
Computed Tomography; Lung; Markov Random Field; Pathology; Segmentation BibRef

Ngo, T.A.[Tuan Anh], Carneiro, G.[Gustavo],
Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference,
ICIP15(2140-2143)
IEEE DOI 1512
Deep learning; Level set methods; Lung segmentation BibRef

Costa, A.[Addson], Carvalho, B.M.[Bruno M.],
SALSA: A Simple Automatic Lung Segmentation Algorithm,
CIARP15(501-508).
Springer DOI 1511
BibRef

Yao, J.[Jiawen], Ganti, D.[Dheeraj], Luo, X.[Xin], Xiao, G.[Guanghua], Xie, Y.[Yang], Yan, S.[Shirley], Huang, J.Z.[Jun-Zhou],
Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features,
MLMI15(288-295).
Springer DOI 1511
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Sundarapandian, M.[Manivannan], Kalpathi, R.[Ramakrishnan], Siochi, R.A.[R. Alfredo],
Respiratory motion prediction from CBCT image observations using UKF,
MVA15(559-562)
IEEE DOI 1507
Biological system modeling BibRef

Hossain, M.R.I.[Mir Rayat Imtiaz], Ahmed, I.[Imran], Kabir, M.H.[Md. Hasanul],
Automatic Lung Tumor Detection Based on GLCM Features,
FSLCV14(III: 109-121).
Springer DOI 1504
BibRef

Venkitaraman, A., Makkapati, V.V.[Vishnu V.],
Motion-Based Segmentation of Chest and Abdomen Region of Neonates from Videos,
ICAPR15(1-5)
IEEE DOI 1511
image motion analysis BibRef

Hosseini-Asl, E.[Ehsan], Zurada, J.M.[Jacek M.], El-Baz, A.[Ayman],
Automatic segmentation of pathological lung using incremental nonnegative matrix factorization,
ICIP15(3111-3115)
IEEE DOI 1512
BibRef
Earlier:
Lung segmentation based on Nonnegative Matrix Factorization,
ICIP14(877-881)
IEEE DOI 1502
Nonnegative matrix factorization. Computed tomography BibRef

Schlegl, T.[Thomas], Ofner, J.[Joachim], Langs, G.[Georg],
Unsupervised Pre-training Across Image Domains Improves Lung Tissue Classification,
MCV14(82-93).
Springer DOI 1501
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Gill, G.[Gurman], Beichel, R.R.[Reinhard R.],
Segmentation of Lungs with Interstitial Lung Disease in CT Scans: A TV-L 1 Based Texture Analysis Approach,
ISVC14(I: 511-520).
Springer DOI 1501
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Cheplygina, V.[Veronika], Sorensen, L.[Lauge], Tax, D.M.J.[David M.J.], Pedersen, J.H.[Jesper Holst], Loog, M.[Marco], de Bruijne, M.[Marleen],
Classification of COPD with Multiple Instance Learning,
ICPR14(1508-1513)
IEEE DOI 1412
Diseases BibRef

Orjuela-Cańón, A.D.[Alvaro D.], Gómez-Cajas, D.F.[Diego F.], Jiménez-Moreno, R.[Robinson],
Artificial Neural Networks for Acoustic Lung Signals Classification,
CIARP14(214-221).
Springer DOI 1411
BibRef

Wujcicki, A.[Artur], Materka, A.[Andrzej],
Quantitative and Qualitative Evaluation of Selected Lung MR Image Registration Techniques,
ICCVG14(653-660).
Springer DOI 1410
BibRef

McClelland, J.R.[Jamie R.], Champion, B.A.S.[Benjamin A. S.], Hawkes, D.J.[David J.],
Combining Image Registration, Respiratory Motion Modelling, and Motion Compensated Image Reconstruction,
WBIR14(103-113).
Springer DOI 1407
BibRef

Amemiya, T., Maeda, T.,
Depth and rate estimation for chest compression CPR with smartphone,
3DUI13(125-126)
IEEE DOI 1406
accelerometers BibRef

Huang, W.[Wei], Li, J.[Jing], Zhang, P.[Peng], Wan, M.[Min],
A novel marker-less tumor tracking strategyonlow-rank fluoroscopic images for image-guided lung cancer radiotherapy,
ICIP13(1399-1403)
IEEE DOI 1402
Fluoroscopic image BibRef

Nava, R.[Rodrigo], Marcos, J.V.[J. Victor], Escalante-Ramírez, B.[Boris], Cristóbal, G.[Gabriel],
Advances in Texture Analysis for Emphysema Classification,
CIARP13(II:214-221).
Springer DOI 1311
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Martinez, M.[Manuel], Stiefelhagen, R.[Rainer],
Breath rate monitoring during sleep using near-ir imagery and PCA,
ICPR12(3472-3475).
WWW Link. 1302
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Sakai, T.[Tomoya], Miyahara, S.[Sueharu], Kiyasu, S.[Senya],
Unmixing three types of lung sounds by convex optimization,
ICPR16(2884-2888)
IEEE DOI 1705
Convex functions, Discrete cosine transforms, Discrete wavelet transforms, Lungs, Optimization, Spectrogram, Time-frequency, analysis BibRef

Sakai, T.[Tomoya], Kato, M.[Madoka], Miyahara, S.[Sueharu], Kiyasu, S.[Senya],
Robust detection of adventitious lung sounds in electronic auscultation signals,
ICPR12(1993-1996).
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Yamashita, T.[Tatsuya], Tamura, S.[Satoshi], Hayashi, K.[Kenji], Nishimoto, Y.[Yutaka], Hayamizu, S.[Satoru],
Sparse representation of audio features for sputum detection from lung sounds,
ICPR12(2005-2008).
WWW Link. 1302
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Kockelkorn, T.T.J.P.[Thessa T.J.P.], Sanchez, C.I.[Clara I.], Grutters, J.C.[Jan C.], Ramos, R.[Rui], de Jong, P.A.[Pim A.], Viergever, M.A.[Max A.], Ramos, J.[Jose], Schaefer-Prokop, C.[Cornelia], van Ginneken, B.[Bram],
Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: A simulation study,
ICPR12(105-108).
WWW Link. 1302
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Giuca, A.M.[Anne-Marie], Seitz, K.A.[Kerry A.], Furst, J.[Jacob], Raicu, D.[Daniela],
Expanding diagnostically labeled datasets using content-based image retrieval,
ICIP12(2397-2400).
IEEE DOI 1302
aided diagnosis system. Use CBIR system to label unlabelled images. BibRef

Taher, F.[Fatma], Werghi, N.[Naoufel], Al-Ahmad, H.[Hussain],
Computer aided diagnosis system for early lung cancer detection,
WSSIP15(5-8)
IEEE DOI 1603
biomedical optical imaging BibRef

Werghi, N.[Naoufel], Donner, C.[Christian], Taher, F.[Fatma], Al-Ahmad, H.[Hussain],
Detection and segmentation of sputum cell for early lung cancer detection,
ICIP12(2813-2816).
IEEE DOI 1302
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Zheng, C.[Chaojie], Wang, X.[Xiuying], Chen, J.[Jinhu], Yin, Y.[Yong], Feng, D.[Dagan],
Deformable registration model with local rigidity preservation for radiation therapy of lung tumor,
ICIP12(1673-1676).
IEEE DOI 1302
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Abdollahi, B.[Behnoush], Soliman, A.[Ahmed], Civelek, A.C., Li, X.F., Gimel'farb, G.L., El-Baz, A.[Ayman],
A novel Gaussian Scale Space-based joint MGRF framework for precise lung segmentation,
ICIP12(2029-2032).
IEEE DOI 1302
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And:
A Novel 3D Joint MGRF Framework for Precise Lung Segmentation,
MLMI12(86-93).
Springer DOI 1211
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Hollensen, C.[Christian], Cannon, G.[George], Cannon, D.[Donald], Bentzen, S.[Sřren], Larsen, R.[Rasmus],
Lung Tumor Segmentation Using Electric Flow Lines for Graph Cuts,
ICIAR12(II: 206-213).
Springer DOI 1206
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Faltin, P.[Peter], Chaisaowong, K.[Kraisorn], Kraus, T.[Thomas], Aach, T.[Til],
Markov-Gibbs model based registration of CT lung images using subsampling for the follow-up assessment of pleural thickenings,
ICIP11(2181-2184).
IEEE DOI 1201
BibRef

Faltin, P.[Peter], Chaisaowong, K.[Kraisorn], Aach, T.[Til],
Volume-preserving correction for image registration using free-form deformations,
ICIP12(2945-2948).
IEEE DOI 1302
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Wang, C.W.[Ching-Wei], Yu, C.P.[Cheng-Ping],
Automatic Morphological Classification of Lung Cancer Subtypes with Boosting Algorithms for Optimizing Therapy,
MLMI11(217-224).
Springer DOI 1109
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Ma, Y.L.[Ying-Liang], King, A.P.[Andy P.], Gogin, N.[Nicolas], Gijsbers, G.[Geert], Rinaldi, C.A.[C. Aldo], Gill, J.[Jaswinder], Razavi, R.[Reza], Rhode, K.S.[Kawal S.],
Comparing Image-Based Respiratory Motion Correction Methods for Anatomical Roadmap Guided Cardiac Electrophysiology Procedures,
FIMH11(55-62).
Springer DOI 1105
BibRef

Takano, H.[Hirofumi], Watanabe, M.[Masahiro], Hironaka, S.[Shoji], Mukai, Y.[Yoshiharu], Aoki, Y.[Yoshimitsu],
Non-contact measurement system for swallowing time using Fiber grating vision sensor,
FCV11(1-5).
IEEE DOI 1102
Not really lungs. BibRef

Gangeh, M.J.[Mehrdad J.], Sřrensen, L.[Lauge], Shaker, S.B.[Saher B.], Kamel, M.S.[Mohamed S.], de Bruijne, M.[Marleen],
Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung,
MCV10(153-163).
Springer DOI 1009
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Farag, A.[Amal], Graham, J.[James], Farag, A.A.[Aly A.],
Robust segmentation of lung tissue in chest CT scanning,
ICIP10(2249-2252).
IEEE DOI 1009
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Petitjean, C.[Caroline], Benoist, J.[Jonathan], Thiberville, L.[Luc], Salaün, M.[Mathieu], Heutte, L.[Laurent],
Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System,
MVA09(471-).
PDF File. 0905
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de Boer, W.[Willem], Lasenby, J.[Joan], Cameron, J.[Jonathan], Wareham, R.[Rich], Ahmad, S.[Shiraz], Roach, C.[Charlotte], Hills, W.[Ward], Iles, R.[Richard],
SLP: A Zero-contact Non-invasive Method for Pulmonary Function Testing,
BMVC10(xx-yy).
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Herberich, G.[Gerlind], Ivanescu, A.[Anca], Gamper, I.[Ivonne], Sechi, A.S.[Antonio S.], Aach, T.[Til],
Analysis of Length and Orientation of Microtubules in Wide-Field Fluorescence Microscopy,
DAGM10(182-191).
Springer DOI 1009
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Yaying, L.[Lin], Yao, J.[Jianchao], Tan, Y.P.[Yap-Peng],
Respiratory rate estimation via simultaneously tracking and segmentation,
Biometrics10(170-177).
IEEE DOI 1006
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Murray, V.[Victor], Pattichis, M.S.[Marios S.], Soliz, P.[Peter],
Multiscale directional AM-FM demodulation of images using a 2D optimized method,
ICIP11(249-252).
IEEE DOI 1201
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Murray, V.[Victor], Pattichis, M.S.[Marios S.], Davis, H.[Herbert], Barriga, E.S.[Eduardo S.], Soliz, P.[Peter],
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ICIP09(4201-4204).
IEEE DOI 0911
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Bystrov, D., Vik, T., Schulz, H., Klinder, T., Schmidt, S.,
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ICIP09(1749-1752).
IEEE DOI 0911
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Vo, K.T.[Kiet T.], Sowmya, A.[Arcot],
Scale-Space Representation of Lung HRCT Images for Diffuse Lung Disease Classification,
ICISP10(550-558).
Springer DOI 1006
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Earlier:
Diffuse lung disease classification in HRCT lung images using generalized Gaussian density modeling of wavelets coefficients,
ICIP09(2645-2648).
IEEE DOI 0911
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Wantroba, J.S.[Joseph S.], Raicu, D.S.[Daniela S.], Furst, J.D.[Jacob D.],
A statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the lung,
ICIP09(4197-4200).
IEEE DOI 0911
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Lampo, T.[Tomas], Sierra, J.[Javier], Chang, C.[Carolina],
Two Algorithms for Measuring Human Breathing Rate Automatically,
ISVC09(II: 686-697).
Springer DOI 0911
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Yin, H.S.[Hong-Sheng], Zhang, P.[Pei], Qian, J.S.[Jian-Sheng], Hua, G.[Gang],
Feature Extraction and Recognition of Ventilator Vibration Signal Based on ICA/SVM,
CISP09(1-4).
IEEE DOI 0910
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Vo, K.T.[Kiet T.], Sowmya, A.[Arcot],
Multiscale sparse representation of high-resolution computed tomography (HRCT) lung images for diffuse lung disease classification,
ICIP11(441-444).
IEEE DOI 1201
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Earlier:
Directional Multi-scale Modeling of High-Resolution Computed Tomography (HRCT) Lung Images for Diffuse Lung Disease Classification,
CAIP09(663-671).
Springer DOI 0909
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Earlier:
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CIARP06(147-156).
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CIAP97(II: 461-468).
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And:
Segmentation of sputum color image for lung cancer diagnosis,
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On modeling the distribution of chest X-ray images and their stochastic properties,
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Airway Tree Structure .


Last update:Sep 22, 2017 at 21:00:01