20.13.2 Medical Applications -- Prostate Cancer Analysis

Chapter Contents (Back)
Prostate Cancer. Cancer Detection.

Pathak, S.D., Haynor, D.R., Kim, Y.,
Edge-guided boundary delineation in prostate ultrasound images,
MedImg(19), No. 12, December 2000, pp. 1211-1219.
IEEE Top Reference. 0110
BibRef

Shen, D.G.[Ding-Gang], Zhan, Y.Q.A.[Yi-Qi-Ang], Davatzikos, C.[Christos],
Segmentation of prostate boundaries from ultrasound images using statistical shape model,
MedImg(22), No. 4, April 2003, pp. 539-551.
IEEE Abstract. 0306
BibRef

Zhan, Y.Q.A.[Yi-Qi-Ang], Shen, D.G.[Ding-Gang],
Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method,
MedImg(25), No. 3, March 2006, pp. 256-272.
IEEE DOI 0604
BibRef

Fei, B.W.[Bao-Wei], Duerk, J.L., Boll, D.T., Lewin, J.S., Wilson, D.L.,
Slice-to-Volume Registration and Its Potential Application to Interventional MRI-Guided Radio-Frequency Thermal Ablation of Prostate Cancer,
MedImg(22), No. 4, April 2003, pp. 515-525.
IEEE Abstract. 0306
BibRef

Gong, L., Pathak, S.D., Haynor, D.R., Cho, P.S., Kim, Y.,
Parametric Shape Modeling Using Deformable Superellipses for Prostate Segmentation,
MedImg(23), No. 3, March 2004, pp. 340-349.
IEEE Abstract. 0403
BibRef

Madabhushi, A., Feldman, M.D., Metaxas, D.N., Tomaszeweski, J., Chute, D.,
Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI,
MedImg(24), No. 12, December 2005, pp. 1611-1625.
IEEE DOI 0601
BibRef

Madabhushi, A.[Anant], Shi, J.B.[Jian-Bo], Feldman, M.D.[Michael D.], Rosen, M.[Mark], Tomaszewski, J.[John],
Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI,
CVAMIA06(25-36).
Springer DOI 0605
BibRef

Tahir, M.A.[Muhammad Atif], Bouridane, A.[Ahmed], Kurugollu, F.[Fatih], Amira, A.[Abbes],
A Novel Prostate Cancer Classification Technique Using Intermediate Memory Tabu Search,
JASP(2005), No. 14, 2005, pp. 2241-2249.
WWW Link. 0603
BibRef
Earlier:
Feature selection using tabu search for improving the classification rate of prostate needle biopsies,
ICPR04(II: 335-338).
IEEE DOI 0409
BibRef

Tahir, M.A.[Muhammad Atif], Bouridane, A.[Ahmed], Kurugollu, F.[Fatih],
Simultaneous feature selection and feature weighting using Hybrid Tabu Search/K-nearest neighbor classifier,
PRL(28), No. 4, 1 March 2007, pp. 438-446.
WWW Link. 0701
Tabu Search; K-NN classifier; Feature selection; Feature weighting; Prostate cancer diagnosis BibRef

Egorov, V., Ayrapetyan, S., Sarvazyan, A.P.,
Prostate Mechanical Imaging: 3-D Image Composition and Feature Calculations,
MedImg(25), No. 10, October 2006, pp. 1329-1340.
IEEE DOI 0609
See also Mechanical Imaging of the Breast. BibRef

Tutar, I.B., Pathak, S.D., Gong, L., Cho, P.S., Wallner, K., Kim, Y.,
Semiautomatic 3-D Prostate Segmentation from TRUS Images Using Spherical Harmonics,
MedImg(25), No. 12, December 2006, pp. 1645-1654.
IEEE DOI 0701
BibRef

Rieke, V., Kinsey, A.M., Ross, A.B., Nau, W.H., Diederich, C.J., Sommer, G., Pauly, K.B.,
Referenceless MR Thermometry for Monitoring Thermal Ablation in the Prostate,
MedImg(26), No. 6, June 2007, pp. 813-821.
IEEE DOI 0706
BibRef

Zhan, Y., Shen, D., Zeng, J., Sun, L., Fichtinger, G., Moul, J., Davatzikos, C.,
Targeted Prostate Biopsy Using Statistical Image Analysis,
MedImg(26), No. 6, June 2007, pp. 779-788.
IEEE DOI 0706
BibRef

Lee, J., Liu, X., Jain, A.K., Song, D.Y., Burdette, E.C., Prince, J.L., Fichtinger, G.,
Prostate Brachytherapy Seed Reconstruction With Gaussian Blurring and Optimal Coverage Cost,
MedImg(28), No. 12, December 2009, pp. 1955-1968.
IEEE DOI 0912
See also Ultrasound Elastography: A Dynamic Programming Approach. BibRef

Lee, J., Labat, C., Jain, A.K., Song, D.Y., Burdette, E.C., Fichtinger, G., Prince, J.L.,
REDMAPS: Reduced-Dimensionality Matching for Prostate Brachytherapy Seed Reconstruction,
MedImg(30), No. 1, January 2011, pp. 38-51.
IEEE DOI 1101
BibRef

Betrouni, N., Vermandel, M., Pasquier, D., Rousseau, J.,
Ultrasound image guided patient setup for prostate cancer conformal radiotherapy,
PRL(28), No. 13, 1 October 2007, pp. 1808-1817.
WWW Link. 0709
Ultrasound imaging; Prostate model; Segmentation; Optical stereolocalization; Conformal radiotherapy; Registration BibRef

Tabesh, A., Teverovskiy, M., Pang, H.Y., Kumar, V.P., Verbel, D., Kotsianti, A., Saidi, O.,
Multifeature Prostate Cancer Diagnosis and Gleason Grading of Histological Images,
MedImg(26), No. 10, October 2007, pp. 1366-1378.
IEEE DOI 0711
BibRef

Crouch, J.R., Pizer, S.M., Chaney, E.L., Hu, Y.C., Mageras, G.S., Zaider, M.,
Automated Finite-Element Analysis for Deformable Registration of Prostate Images,
MedImg(26), No. 10, October 2007, pp. 1379-1390.
IEEE DOI 0711
BibRef

Mohamed, S.S., Salama, M.M.A.,
Prostate Cancer Spectral Multifeature Analysis Using TRUS Images,
MedImg(27), No. 4, April 2008, pp. 548-556.
IEEE DOI 0804
BibRef

Mohamed, S.S., Youssef, A.M., El-Saadany, E.F., Salama, M.M.A.,
Prostate Tissue Characterization Using TRUS Image Spectral Features,
ICIAR06(II: 589-601).
Springer DOI 0610
BibRef
Earlier:
Artificial Life Feature Selection Techniques for Prostrate Cancer Diagnosis Using TRUS Images,
ICIAR05(903-913).
Springer DOI 0509
BibRef

Li, B.[Bing], Acton, S.T.[Scott T.],
Automatic Active Model Initialization via Poisson Inverse Gradient,
IP(17), No. 8, August 2008, pp. 1406-1420.
IEEE DOI 0808
BibRef

Li, B.[Bing], Patil, A.V.[Abhay V.], Hossack, J.A.[John A.], Acton, S.T.[Scott T.],
3D Segmentation of the Prostate via Poisson Inverse Gradient Initialization,
ICIP07(V: 25-28).
IEEE DOI 0709
BibRef

Shao, F.[Fan], Ling, K.V.[Keck Voon], Ng, W.S.[Wan Sing],
Automatic 3d Prostate Surface Detection From Trus With Level Sets,
IJIG(4), No. 3, July 2004, pp. 385-403. 0407
BibRef

Liu, X.[Xin], Langer, D.L., Haider, M.A., Yang, Y., Wernick, M.N.[Miles N.], Yetik, I.S.[Imam Samil],
Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class,
MedImg(28), No. 6, June 2009, pp. 906-915.
IEEE DOI 0906
Markov Random Field. BibRef

Liu, X.[Xin], Yetik, I.S.[Imam Samil],
A Maximum Likelihood Classification method for image segmentation considering subject variability,
Southwest10(125-128).
IEEE DOI 1005
BibRef

Liu, X.[Xin], Yetik, I.S.[Imam Samil], Wernick, M.N.[Miles N.],
Simultaneous estimation of the Markov random field parameters and the classes for image segmentation,
ICIP08(3048-3051).
IEEE DOI 0810
BibRef

Huang, P.W., Lee, C.H.,
Automatic Classification for Pathological Prostate Images Based on Fractal Analysis,
MedImg(28), No. 7, July 2009, pp. 1037-1050.
IEEE DOI 0906
BibRef

Maggio, S., Palladini, A., Marchi, L.D., Alessandrini, M., Speciale, N., Masetti, G.,
Predictive Deconvolution and Hybrid Feature Selection for Computer-Aided Detection of Prostate Cancer,
MedImg(29), No. 2, February 2010, pp. 455-464.
IEEE DOI 1002
BibRef

Artan, Y., Haider, M.A., Langer, D.L., van der Kwast, T.H., Evans, A.J., Yang, Y., Wernick, M.N., Trachtenberg, J., Yetik, I.S.,
Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields,
IP(19), No. 9, September 2010, pp. 2444-2455.
IEEE DOI 1008
BibRef

Gao, Y., Sandhu, R., Fichtinger, G., Tannenbaum, A.R.,
A Coupled Global Registration and Segmentation Framework With Application to Magnetic Resonance Prostate Imagery,
MedImg(29), No. 10, October 2010, pp. 1781-1794.
IEEE DOI 1011
BibRef

Garnier, C., Bellanger, J.J., Wu, K., Shu, H., Costet, N., Mathieu, R., de Crevoisier, R., Coatrieux, J.L.,
Prostate Segmentation in HIFU Therapy,
MedImg(30), No. 3, March 2011, pp. 792-803.
IEEE DOI 1103
BibRef

Kuenen, M.P.J., Mischi, M., Wijkstra, H.,
Contrast-Ultrasound Diffusion Imaging for Localization of Prostate Cancer,
MedImg(30), No. 8, August 2011, pp. 1493-1502.
IEEE DOI 1108
BibRef

Bouatmane, S.[Sabrina], Roula, M.A.[Mohamed Ali], Bouridane, A.[Ahmed], Al-Maadeed, S.[Somaya],
Round-Robin sequential forward selection algorithm for prostate cancer classification and diagnosis using multispectral imagery,
MVA(22), No. 5, September 2011, pp. 865-878.
WWW Link. 1108
BibRef

Hu, Y., Carter, T.J., Ahmed, H.U., Emberton, M., Allen, C., Hawkes, D.J., Barratt, D.C.,
Modelling Prostate Motion for Data Fusion During Image-Guided Interventions,
MedImg(30), No. 11, November 2011, pp. 1887-1900.
IEEE DOI 1111
BibRef

Lobo, J.R., Moradi, M., Chng, N., Dehghan, E., Morris, W.J., Fichtinger, G., Salcudean, S.E.,
Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy,
MedImg(31), No. 3, March 2012, pp. 738-748.
IEEE DOI 1203
BibRef

Nguyen, K.[Kien], Sabata, B.[Bikash], Jain, A.K.[Anil K.],
Prostate cancer grading: Gland segmentation and structural features,
PRL(33), No. 7, 1 May 2012, pp. 951-961.
Elsevier DOI 1203
Prostate cancer; Benign; Carcinoma; Gleason grading system; Gland segmentation; Nuclei From the ICPR paper. BibRef

Nguyen, K.[Kien], Jain, A.K.[Anil K.], Allen, R.L.[Ronald L.],
Automated Gland Segmentation and Classification for Gleason Grading of Prostate Tissue Images,
ICPR10(1497-1500).
IEEE DOI 1008
Award, ICPR. BibRef

Liao, S.[Shu], Shen, D.G.[Ding-Gang],
A Feature-Based Learning Framework for Accurate Prostate Localization in CT Images,
IP(21), No. 8, August 2012, pp. 3546-3559.
IEEE DOI 1208
BibRef

Shi, Y.H.[Yong-Hong], Liao, S.[Shu], Shen, D.G.[Ding-Gang],
Learning Statistical Correlation of Prostate Deformations for Fast Registration,
MLMI11(1-9).
Springer DOI 1109
BibRef

Toth, R., Madabhushi, A.,
Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation,
MedImg(31), No. 8, August 2012, pp. 1638-1650.
IEEE DOI 1208
BibRef

Toth, R.[Robert], Ribault, J.[Justin], Gentile, J.[John], Sperling, D.[Dan], Madabhushi, A.[Anant],
Simultaneous segmentation of prostatic zones using Active Appearance Models with multiple coupled levelsets,
CVIU(117), No. 9, 2013, pp. 1051-1060.
Elsevier DOI 1307
Active Appearance Models BibRef

Sparks, R.[Rachel], Madabhushi, A.[Anant],
Statistical shape model for manifold regularization: Gleason grading of prostate histology,
CVIU(117), No. 9, 2013, pp. 1138-1146.
Elsevier DOI 1307
Manifold learning BibRef

Chandra, S.S., Dowling, J.A., Shen, K.K.[Kai-Kai], Raniga, P., Pluim, J.P.W., Greer, P.B., Salvado, O., Fripp, J.,
Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images,
MedImg(31), No. 10, October 2012, pp. 1955-1964.
IEEE DOI 1210
BibRef
Earlier: A1, A2, A3, A5, A6, A7, A8, Only:
Automatic Segmentation of the Prostate in 3D Magnetic Resonance Images Using Case Specific Deformable Models,
DICTA11(7-12).
IEEE DOI 1205
BibRef

Mahdavi, S.S., Moradi, M., Morris, W.J., Goldenberg, S.L., Salcudean, S.E.,
Fusion of Ultrasound B-Mode and Vibro-Elastography Images for Automatic 3-D Segmentation of the Prostate,
MedImg(31), No. 11, November 2012, pp. 2073-2082.
IEEE DOI 1211
BibRef

Han, E.J.[Eun Ji], Lee, S.H.[Sang-Hoon], Sohn, H.S.[Hyung Sun], Chung, Y.A.[Yong-An], Chung, S.K.[Soo Kyo],
Assessment of testicular uptake in flourine-18 fluorodeoxyglucose positron emission tomography/computed tomography,
IJIST(22), No. 4, December 2012, pp. 245-249.
DOI Link 1211
BibRef

Atupelage, C.[Chamidu], Nagahashi, H.[Hiroshi], Yamaguchi, M.[Masahiro], Abe, T.[Tokiya], Hashiguchi, A.[Akinori], Sakamoto, M.[Michiie],
Classification of Prostate Histopathology Images Based on Multifractal Analysis,
IEICE(E95-D), No. 12, December 2012, pp. 3037-3045.
WWW Link. 1212
BibRef

Liao, S., Gao, Y., Lian, J., Shen, D.,
Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images,
MedImg(32), No. 2, February 2013, pp. 419-434.
IEEE DOI 1301
BibRef

Nir, G., Sahebjavaher, R.S., Kozlowski, P., Chang, S.D., Sinkus, R., Goldenberg, S.L., Salcudean, S.E.,
Model-Based Registration of Ex Vivo and In Vivo MRI of the Prostate Using Elastography*,
MedImg(32), No. 7, 2013, pp. 1349-1361.
IEEE DOI 1307
BibRef
Earlier: Earlier version had author error. MedImg(32), No. 6, 2013, pp. 1068-1080.
IEEE DOI 1307
cancer; deformation; ex vivo prostate MRI BibRef

Nir, G., Sahebjavaher, R.S., Kozlowski, P., Chang, S.D., Jones, E.C., Goldenberg, S.L., Salcudean, S.E.,
Registration of Whole-Mount Histology and Volumetric Imaging of the Prostate Using Particle Filtering,
MedImg(33), No. 8, August 2014, pp. 1601-1613.
IEEE DOI 1408
Image segmentation BibRef

Gavrilovic, M., Azar, J.C., Lindblad, J., Wahlby, C., Bengtsson, E., Busch, C., Carlbom, I.B.,
Blind Color Decomposition of Histological Images,
MedImg(32), No. 6, 2013, pp. 983-994.
IEEE DOI 1307
blind source separation; blind color decomposition; image restoration; prostate BibRef

Gorelick, L., Veksler, O., Gaed, M., Gomez, J.A., Moussa, M., Bauman, G., Fenster, A., Ward, A.D.,
Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification,
MedImg(32), No. 10, 2013, pp. 1804-1818.
IEEE DOI 1311
cancer BibRef

Artan, Y., Oto, A., Yetik, I.S.,
Cross-Device Automated Prostate Cancer Localization With Multiparametric MRI,
IP(22), No. 12, 2013, pp. 5385-5394.
IEEE DOI 1312
biomedical MRI BibRef

Gao, Y.Z.[Yao-Zong], Zhan, Y.Q.[Yi-Qiang], Shen, D.G.[Ding-Gang],
Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy,
MedImg(33), No. 2, February 2014, pp. 518-534.
IEEE DOI 1403
biological organs BibRef

Niaf, E., Flamary, R., Rouviere, O., Lartizien, C., Canu, S.,
Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging,
IP(23), No. 3, March 2014, pp. 979-991.
IEEE DOI 1403
biological tissues BibRef

Qiu, W., Yuan, J., Ukwatta, E., Sun, Y., Rajchl, M., Fenster, A.,
Prostate Segmentation: An Efficient Convex Optimization Approach With Axial Symmetry Using 3-D TRUS and MR Images,
MedImg(33), No. 4, April 2014, pp. 947-960.
IEEE DOI 1404
Biopsy BibRef

Sun, Y., Yuan, J., Qiu, W., Rajchl, M., Romagnoli, C., Fenster, A.,
Three-Dimensional Nonrigid MR-TRUS Registration Using Dual Optimization,
MedImg(34), No. 5, May 2015, pp. 1085-1095.
IEEE DOI 1505
Biopsy BibRef

Yuan, J.[Jing], Qiu, W.[Wu], Rajchl, M.[Martin], Ukwatta, E.[Eranga], Tai, X.C.[Xue-Cheng], Fenster, A.[Aaron],
Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry,
CVPR13(2211-2218)
IEEE DOI 1309
3D TRUS; Continuous Max-Flow; Convex Optimization; Image Segmentation BibRef

Nguyen, K., Sarkar, A., Jain, A.K.,
Prostate Cancer Grading: Use of Graph Cut and Spatial Arrangement of Nuclei,
MedImg(33), No. 12, December 2014, pp. 2254-2270.
IEEE DOI 1412
biomedical optical imaging BibRef

Lee, G., Singanamalli, A., Wang, H.B.[Hai-Bo], Feldman, M.D., Master, S.R., Shih, N.N.C., Spangler, E., Rebbeck, T., Tomaszewski, J.E., Madabhushi, A.,
Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer,
MedImg(34), No. 1, January 2015, pp. 284-297.
IEEE DOI 1502
biomedical MRI BibRef

Pääkkönen, J.[Jouni], Päivinen, N.[Niina], Nykänen, M.[Matti], Paavonen, T.[Timo],
An automated gland segmentation and classification method in prostate biopsies: an image source-independent approach,
MVA(26), No. 1, January 2015, pp. 103-113.
Springer DOI 1503
BibRef

Nouranian, S., Mahdavi, S.S., Spadinger, I., Morris, W.J., Salcudean, S.E., Abolmaesumi, P.,
A Multi-Atlas-Based Segmentation Framework for Prostate Brachytherapy,
MedImg(34), No. 4, April 2015, pp. 950-961.
IEEE DOI 1504
Brachytherapy BibRef

Nouranian, S., Ramezani, M., Spadinger, I., Morris, W.J., Salcudean, S.E., Abolmaesumi, P.,
Learning-Based Multi-Label Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy,
MedImg(35), No. 3, March 2016, pp. 921-932.
IEEE DOI 1603
Brachytherapy BibRef

Wu, P.F.[Peng-Fei], Liu, Y.G.[Yi-Guang], Li, Y.Z.[Yong-Zhong], Liu, B.B.[Bing-Bing],
Robust Prostate Segmentation Using Intrinsic Properties of TRUS Images,
MedImg(34), No. 6, June 2015, pp. 1321-1335.
IEEE DOI 1506
biological organs BibRef

Shi, Y.H.[Ying-Huan], Gao, Y.Z.[Yao-Zong], Liao, S.[Shu], Zhang, D.Q.[Dao-Qiang], Gao, Y.[Yang], Shen, D.G.[Ding-Gang],
Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso,
PAMI(37), No. 11, November 2015, pp. 2286-2303.
IEEE DOI 1511
computerised tomography BibRef

Imani, F., Abolmaesumi, P., Gibson, E., Khojaste, A., Gaed, M., Moussa, M., Gomez, J.A., Romagnoli, C., Leveridge, M., Chang, S., Siemens, D.R., Fenster, A., Ward, A.D., Mousavi, P.,
Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study,
MedImg(34), No. 11, November 2015, pp. 2248-2257.
IEEE DOI 1511
Biopsy BibRef

Khallaghi, S., Sanchez, C.A., Rasoulian, A., Sun, Y., Imani, F., Khojaste, A., Goksel, O., Romagnoli, C., Abdi, H., Chang, S., Mousavi, P., Fenster, A., Ward, A., Fels, S., Abolmaesumi, P.,
Biomechanically Constrained Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions,
MedImg(34), No. 11, November 2015, pp. 2404-2414.
IEEE DOI 1511
Biomechanics BibRef

Khallaghi, S., Sanchez, C.A., Rasoulian, A., Nouranian, S., Romagnoli, C., Abdi, H., Chang, S.D., Black, P.C., Goldenberg, L., Morris, W.J., Spadinger, I., Fenster, A., Ward, A., Fels, S., Abolmaesumi, P.,
Statistical Biomechanical Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions,
MedImg(34), No. 12, December 2015, pp. 2535-2549.
IEEE DOI 1601
biological organs BibRef

Wang, Y., Cheng, J.Z., Ni, D., Lin, M., Qin, J., Luo, X., Xu, M., Xie, X., Heng, P.A.,
Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration,
MedImg(35), No. 2, February 2016, pp. 589-604.
IEEE DOI 1602
Biological system modeling BibRef

Tian, Z., Liu, L., Zhang, Z., Fei, B.,
Superpixel-Based Segmentation for 3D Prostate MR Images,
MedImg(35), No. 3, March 2016, pp. 791-801.
IEEE DOI 1603
Active contours BibRef

Guo, Y., Gao, Y., Shen, D.,
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching,
MedImg(35), No. 4, April 2016, pp. 1077-1089.
IEEE DOI 1604
Biomedical imaging BibRef

Gao, Y., Shao, Y., Lian, J., Wang, A.Z., Chen, R.C., Shen, D.,
Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests,
MedImg(35), No. 6, June 2016, pp. 1532-1543.
IEEE DOI 1606
Bladder BibRef

Tang, S., Chen, J., Samant, P., Stratton, K., Xiang, L.,
Transurethral Photoacoustic Endoscopy for Prostate Cancer: A Simulation Study,
MedImg(35), No. 7, July 2016, pp. 1780-1787.
IEEE DOI 1608
biomedical optical imaging BibRef

Mahara, A., Khan, S., Murphy, E.K., Schned, A.R., Hyams, E.S., Halter, R.J.,
3D Microendoscopic Electrical Impedance Tomography for Margin Assessment During Robot-Assisted Laparoscopic Prostatectomy,
MedImg(34), No. 7, July 2015, pp. 1590-1601.
IEEE DOI 1507
Cancer BibRef

Khan, S., Mahara, A., Hyams, E.S., Schned, A.R., Halter, R.J.,
Prostate Cancer Detection Using Composite Impedance Metric,
MedImg(35), No. 12, December 2016, pp. 2513-2523.
IEEE DOI 1612
Cancer BibRef

van Sloun, R.J.G.[Ruud J.G.], Demi, L.[Libertario], Postema, A.W.[Arnoud W.], de la Rosette, J.J.M.C.H.[Jean J.M.C.H.], Wijkstra, H.[Hessel], Mischi, M.[Massimo],
Entropy of Ultrasound-Contrast-Agent Velocity Fields for Angiogenesis Imaging in Prostate Cancer,
MedImg(36), No. 3, March 2017, pp. 826-837.
IEEE DOI 1703
Blood BibRef

Zhang, J., Liu, M., Shen, D.,
Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks,
IP(26), No. 10, October 2017, pp. 4753-4764.
IEEE DOI 1708
biomedical MRI, computerised tomography, feedforward neural nets, learning (artificial intelligence), medical image processing, object detection, regression analysis, 3D T1-weighted magnetic resonance images, 3D computed tomography images, CNN based regression model, anatomical landmark coordinate prediction, anatomical landmark detection, brain landmarks, deep convolutional neural networks, fully convolutional network, local image patches, medical imaging data, network learning, prostate landmarks, training data, two-stage task-oriented deep learning method, two-stage task-oriented deep neural networks, Biological neural networks, Biomedical imaging, Machine learning, Testing, Three-dimensional displays, Training, deep convolutional neural networks, limited medical imaging data, real-time, task-oriented BibRef


Karimi, A.H.[Amir-Hossein], Chung, A.G.[Audrey G.], Shafiee, M.J.[Mohammad Javad], Khalvati, F.[Farzad], Haider, M.A.[Masoom A.], Ghodsi, A.[Ali], Wong, A.[Alexander],
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification,
ICIAR17(45-53).
Springer DOI 1706
BibRef

Clark, T.[Tyler], Wong, A.[Alexander], Haider, M.A.[Masoom A.], Khalvati, F.[Farzad],
Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images,
ICIAR17(97-104).
Springer DOI 1706
BibRef

Zhang, J.[Junjie], Baig, S.[Sameer], Wong, A.[Alexander], Haider, M.A.[Masoom A.], Khalvati, F.[Farzad],
Segmentation of Prostate in Diffusion MR Images via Clustering,
ICIAR17(471-478).
Springer DOI 1706
BibRef

Jensen, C.[Carina], Korsager, A.S.[Anne Sofie], Boesen, L.[Lars], Řstergaard, L.R.[Lasse Riis], Carl, J.[Jesper],
Computer Aided Detection of Prostate Cancer on Biparametric MRI Using a Quadratic Discriminant Model,
SCIA17(I: 161-171).
Springer DOI 1706
BibRef

Perez, I.M., Toivonen, J., Movahedi, P., Merisaari, H., Pesola, M., Taimen, P., Boström, P.J., Kiviniemi, A., Aronen, H.J., Pahikkala, T., Jambor, I.,
Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions,
IPTA16(1-6)
IEEE DOI 1703
Gabor filters BibRef

Guinin, M., Ruan, S., Dubray, B., Massoptier, L., Gardin, I.,
Feature selection and patch-based segmentation in MRI for prostate radiotherapy,
ICIP16(2663-2667)
IEEE DOI 1610
Dictionaries BibRef

Sammouda, R., Aboalsamh, H., Saeed, F.,
Comparison between K mean and fuzzy C-mean methods for segmentation of near infrared fluorescent image for diagnosing prostate cancer,
ICCVIA15(1-6)
IEEE DOI 1603
biomedical optical imaging BibRef

Bojorquez, J.Z.[Jorge Zavala], Bricq, S.[Stephanie], Walker, P.M.[Paul M.], Lalande, A.[Alain],
Automatic classification of tissues using T1 and T2 relaxation times from prostate MRI: A step towards generation of PET/MR attenuation map,
ICIP15(1185-1189)
IEEE DOI 1512
MRI BibRef

Albayrak, N.B.[Nur Banu], Oktay, A.B.[Ayse Betul], Akgul, Y.S.[Yusuf Sinan],
Prostate detection from abdominal ultrasound images: A part based approach,
ICIP15(1955-1959)
IEEE DOI 1512
Abdominal Ultrasound; Graphical Model; HOG; Prostate Detection; SVM BibRef

Mahapatra, D.[Dwarikanath], Buhmann, J.M.[Joachim M.],
Visual Saliency Based Active Learning for Prostate MRI Segmentation,
MLMI15(9-16).
Springer DOI 1511
BibRef

Weingant, M.[Michaela], Reynolds, H.M.[Hayley M.], Haworth, A.[Annette], Mitchell, C.[Catherine], Williams, S.[Scott], DiFranco, M.D.[Matthew D.],
Ensemble Prostate Tumor Classification in H&E Whole Slide Imaging via Stain Normalization and Cell Density Estimation,
MLMI15(280-287).
Springer DOI 1511
BibRef

Chung, A.G.[Audrey G.], Scharfenberger, C.[Christian], Khalvati, F.[Farzad], Wong, A.[Alexander], Haider, M.A.[Masoom A.],
Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection,
ICIAR15(368-376).
Springer DOI 1507
BibRef

Samarasinghe, G., Sowmya, A., Moses, D.A.,
A Semi-Quantitative Analysis Model with Parabolic Modelling for DCE-MRI Sequences of Prostate,
DICTA14(1-6)
IEEE DOI 1502
biomedical MRI BibRef

Lehaire, J.[Jerome], Flamary, R.[Remi], Rouviere, O.[Olivier], Lartizien, C.[Carole],
Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification,
ICIP14(2251-2255)
IEEE DOI 1502
Bismuth BibRef

Niaf, E.[Emilie], Flamary, R.[Remi], Rakotomamonjy, A.[Alain], Rouviere, O.[Olivier], Lartizien, C.[Carole],
SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer,
ICIP14(2246-2250)
IEEE DOI 1502
Biomedical imaging BibRef

Gao, Q.Q.[Qin-Quan], Asthana, A.[Akshay], Tong, T.[Tong], Hu, Y.P.[Yi-Peng], Rueckert, D.[Daniel], Edwards, P.[Philip],
Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images,
ICPR14(3298-3303)
IEEE DOI 1412
Feature extraction BibRef

McCarthy, N.[Nicholas], Cunningham, P.[Padraig], OHurley, G.[Gillian],
The Contribution of Morphological Features in the Classification of Prostate Carcinoma in Digital Pathology Images,
ICPR14(3269-3273)
IEEE DOI 1412
Accuracy BibRef

Jacobs, J.G.[Joseph G.], Panagiotaki, E.[Eleftheria], Alexander, D.C.[Daniel C.],
Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields,
MLMI14(85-92).
Springer DOI 1410
BibRef

Gao, Y.Z.[Yao-Zong], Shen, D.G.[Ding-Gang],
Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images,
MLMI14(165-173).
Springer DOI 1410
BibRef

Park, S.H.[Sang Hyun], Gao, Y.[Yaozong], Shi, Y.[Yinghuan], Shen, D.G.[Ding-Gang],
Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization,
MLMI14(264-271).
Springer DOI 1410
BibRef

Qian, C.[Chunjun], Wang, L.[Li], Yousuf, A.[Ambereen], Oto, A.[Aytekin], Shen, D.G.[Ding-Gang],
In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model,
MLMI14(314-322).
Springer DOI 1410
BibRef

Shao, Y.Q.[Ye-Qin], Gao, Y.Z.[Yao-Zong], Yang, X.[Xin], Shen, D.G.[Ding-Gang],
CT Prostate Deformable Segmentation by Boundary Regression,
MCV14(127-136).
Springer DOI 1501
BibRef

Gao, Y.Z.[Yao-Zong], Wang, L.[Li], Shao, Y.Q.[Ye-Qin], Shen, D.G.[Ding-Gang],
Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images,
MLMI14(93-100).
Springer DOI 1410
BibRef

Cazoulat, G., Simon, A., Dumenil, A., Gnep, K., de Crevoisier, R., Acosta, O., Haigron, P.,
Surface-Constrained Nonrigid Registration for Dose Monitoring in Prostate Cancer Radiotherapy,
MedImg(33), No. 7, July 2014, pp. 1464-1474.
IEEE DOI 1407
Accuracy BibRef

Wu, Y., Liu, G., Huang, M., Guo, J., Jiang, J., Yang, W., Chen, W., Feng, Q.,
Prostate Segmentation Based on Variant Scale Patch and Local Independent Projection,
MedImg(33), No. 6, June 2014, pp. 1290-1303.
IEEE DOI 1407
Computed tomography BibRef

Li, A.[Ang], Li, C.Y.[Chang-Yang], Wang, X.Y.[Xiu-Ying], Eberl, S., Feng, D.D., Fulham, M.J.,
Automated Segmentation of Prostate MR Images Using Prior Knowledge Enhanced Random Walker,
DICTA13(1-7)
IEEE DOI 1402
biomedical MRI BibRef

Vafaie, R., Alirezaie, J., Babyn, P.,
Fully Automated Model-Based Prostate Boundary Segmentation Using Markov Random Field in Ultrasound Images,
DICTA12(1-8).
IEEE DOI 1303
BibRef

Mitra, J., Kato, Z., Ghose, S., Sidibe, D., Marti, R., Llado, X., Oliver, A., Vilanova, J.C., Meriaudeau, F.,
Spectral clustering to model deformations for fast multimodal prostate registration,
ICPR12(2622-2625).
WWW Link. 1302
BibRef

Mitra, J., Ghose, S., Sidibe, D., Oliver, A., Marti, R., Llado, X., Vilanova, J.C., Comet, J., Meriaudeau, F.,
Weighted likelihood function of multiple statistical parameters to retrieve 2D TRUS-MR slice correspondence for prostate biopsy,
ICIP12(2949-2952).
IEEE DOI 1302
BibRef

Moradi, M.[Mehdi], Wachinger, C.[Christian], Fedorov, A.[Andriy], Wells, W.M.[William M.], Kapur, T.[Tina], Wolfsberger, L.D.[Luciant D.], Nguyen, P.[Paul], Tempany, C.M.[Clare M.],
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra,
MLMI12(19-26).
Springer DOI 1211
BibRef

Shi, Y.H.[Ying-Huan], Liao, S.[Shu], Gao, Y.Z.[Yao-Zong], Zhang, D.Q.[Dao-Qiang], Gao, Y.[Yang], Shen, D.G.[Ding-Gang],
Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso,
CVPR13(2227-2234)
IEEE DOI 1309
BibRef
Earlier:
Transductive Prostate Segmentation for CT Image Guided Radiotherapy,
MLMI12(1-9).
Springer DOI 1211
BibRef

Skalski, A.[Andrzej], Kos, A.[Artur], Zielinski, T.[Tomasz],
Using ASM in CT Data Segmentaion for Prostate Radiotherapy,
ICCVG12(610-617).
Springer DOI 1210
BibRef

Firjani, A., Khalifa, F., Elnakib, A., Gimel'farb, G.L., El-Ghar, M.A.[M. Abou], Elmaghraby, A., El-Baz, A.,
A novel image-based approach for early detection of prostate cancer,
ICIP12(2849-2852).
IEEE DOI 1302
BibRef
Earlier:
3D automatic approach for precise segmentation of the prostate from Diffusion-Weighted Magnetic Resonance Imaging,
ICIP11(2285-2288).
IEEE DOI 1201
BibRef

Ghose, S.[Soumya], Mitra, J.[Jhimli], Oliver, A.[Arnau], Martí, R.[Robert], Lladó, X.[Xavier], Freixenet, J.[Jordi], Vilanova, J.C.[Joan C.], Comet, J.[Josep], Sidibé, D.[Désiré], Meriaudeau, F.[Fabrice],
A Supervised Learning Framework for Automatic Prostate Segmentation in Trans Rectal Ultrasound Images,
ACIVS12(190-200).
Springer DOI 1209
BibRef

Ghose, S., Mitra, J., Oliver, A., Marti, R., Llado, X., Freixenet, J., Vilanova, J.C., Sidibe, D., Meriaudeau, F.,
A coupled schema of probabilistic atlas and statistical shape and appearance model for 3D prostate segmentation in MR images,
ICIP12(541-544).
IEEE DOI 1302
BibRef

Ghose, S., Mitra, J., Oliver, A., Marti, R., Llado, X., Freixenet, J., Vilanova, J.C., Comet, J., Sidibe, D., Meriaudeau, F.,
A Mumford-Shah functional based variational model with contour, shape, and probability prior information for prostate segmentation,
ICPR12(121-124).
WWW Link. 1302
BibRef

Ghose, S., Mitra, J., Oliver, A., Marti, R., Llado, X., Freixenet, J., Vilanova, J.C., Sidibe, D., Meriaudeau, F.,
Graph cut energy minimization in a probabilistic learning framework for 3D prostate segmentation in MRI,
ICPR12(125-128).
WWW Link. 1302
BibRef

Ghose, S., Oliver, A., Marti, R., Llado, X., Freixenet, J., Mitra, J., Vilanova, J.C., Comet, J., Meriaudeau, F.,
Statistical Shape and Probability Prior Model for Automatic Prostate Segmentation,
DICTA11(340-345).
IEEE DOI 1205
BibRef

Mitra, J., Kato, Z., Marti, R., Oliver, A., Llado, X., Ghose, S., Vilanova, J.C., Meriaudeau, F.,
A Non-Linear Diffeomorphic Framework for Prostate Multimodal Registration,
DICTA11(31-36).
IEEE DOI 1205
BibRef

Mitra, J.[Jhimli], Oliver, A.[Arnau], Marti, R.[Robert], Llado, X.[Xavier], Vilanova, J.C.[Joan C.], Meriaudeau, F.[Fabrice],
Multimodal Prostate Registration Using Thin-Plate Splines from Automatic Correspondences,
DICTA10(587-592).
IEEE DOI 1012
BibRef

Ghose, S., Oliver, A., Marti, R., Llado, X., Freixenet, J., Vilanova, J.C., Meriaudeau, F.,
A probabilistic framework for automatic prostate segmentation with a statistical model of shape and appearance,
ICIP11(713-716).
IEEE DOI 1201
BibRef

Lu, C.[Chao], Chelikani, S.[Sudhakar], Papademetris, X.[Xenophon], Staib, L.[Lawrence], Duncan, J.S.[James S.],
Constrained non-rigid registration using Lagrange multipliers for application in prostate radiotherapy,
MMBIA10(133-138).
IEEE DOI 1006
BibRef

Xia, T.[Tian], Yu, Y.Z.[Yi-Zhou], Hua, J.[Jing],
Automatic detection of malignant prostatic gland units in cross-sectional microscopic images,
ICIP10(1057-1060).
IEEE DOI 1009
BibRef

Zaboli, S.[Shiva], Tabibiazar, A.[Arash], Fieguth, P.W.[Paul W.],
Organ Recognition Using Gabor Filters,
CRV10(94-100).
IEEE DOI 1005
E.g. prostate tissue using techniques similar to iris recognition. BibRef

Ou, Y.M.[Yang-Ming], Shen, D.G.[Ding-Gang], Feldman, M.[Michael], Tomaszewski, J.[John], Davatzikos, C.[Christos],
Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework,
MMBIA09(125-132).
IEEE DOI 0906
BibRef

Arif, M.[Muhammad], Rajpoot, N.[Nasir],
Classification of potential nuclei in prostate histology images using shape manifold learning,
ICMV07(113-118).
IEEE DOI 0712
BibRef

Jendoubi, A., Zeng, J.C.[Jian-Chao], Chouikha, M.F.,
Top-down approach to segmentation of prostate boundaries in ultrasound images,
AIPR04(145-149).
IEEE DOI 0410
BibRef

Zaim, A.[Amjad],
FSM: A new finite sphere method for modeling 3D geometry of the prostate,
ICIP08(2956-2959).
IEEE DOI 0810
BibRef

Zouqi, M.[Mehrnaz], Samarabandu, J.[Jagath],
Prostate Segmentation from 2-D Ultrasound Images Using Graph Cuts and Domain Knowledge,
CRV08(359-362).
IEEE DOI 0805
BibRef

Hui, E.K.T.[Eric K.T.], Mohamed, S.S., Salama, M.M.A., Fenster, A.,
Prostate TRUS Image Region-Based Feature Extraction and Evaluation,
ICIAR09(759-771).
Springer DOI 0907
BibRef

Hui, E.K.T.[Eric K.T.], Mohamed, S.S., Salama, M.M.A., Rizkalla, K.,
Region-Based Feature Extraction Using TRUS Images,
Southwest08(205-208).
IEEE DOI 0803
BibRef

Li, J., Mohamed, S.S., Salama, M.M.A., Freeman, G.H.,
Prostate Tissue Texture Feature Extraction for Cancer Recognition in TRUS Images Using Wavelet Decomposition,
ICIAR07(993-1004).
Springer DOI 0708
BibRef

Mohamed, S.S., Salama, M.M.A., Kamel, M., Rizkalla, K.,
Region of Interest Based Prostate Tissue Characterization Using Least Square Support Vector Machine LS-SVM,
ICIAR04(II: 51-58).
Springer DOI 0409
BibRef

Bougioukos, P.[Panagiotis], Cavouras, D.[Dionisis], Daskalakis, A.[Antonis], Kalatzis, I.[Ioannis], Kostopoulos, S.[Spiros], Georgiadis, P.[Pantelis], Nikiforidis, G.[George], Bezerianos, A.[Anastasios],
Biomarker Selection System, Employing an Iterative Peak Selection Method, for Identifying Biomarkers Related to Prostate Cancer,
CAIP07(197-204).
Springer DOI 0708
BibRef

Rodríguez-Vila, B.[Borja], Pettersson, J.[Johanna], Borga, M.[Magnus], García-Vicente, F.[Feliciano], Gómez, E.J.[Enrique J.], Knutsson, H.[Hans],
3D Deformable Registration for Monitoring Radiotherapy Treatment in Prostate Cancer,
SCIA07(750-759).
Springer DOI 0706
BibRef

Rahnamayan, S., Tizhoosh, H.R., Salama, M.M.A.,
Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images,
ICIAR05(930-937).
Springer DOI 0509
BibRef

Zaim, A.[Amjad],
Automatic Segmentation of the Prostate from Ultrasound Data Using Feature-Based Self Organizing Map,
SCIA05(1259-1265).
Springer DOI 0506
BibRef

Cosío, F.A.[Fernando Arámbula],
Robust Fitting of a Point Distribution Model of the Prostate Using Genetic Algorithms,
ICIAR04(II: 76-83).
Springer DOI 0409
BibRef

Rousson, M.[Mikael], Khamene, A.[Ali], Diallo, M.[Mamadou], Celi, J.C.[Juan Carlos], Sauer, F.[Frank],
Constrained Surface Evolutions for Prostate and Bladder Segmentation in CT Images,
CVBIA05(251-260).
Springer DOI 0601
BibRef

Sahba, F., Tizhoosh, H.R., Salama, M.M.A.,
Segmentation of Prostate Boundaries Using Regional Contrast Enhancement,
ICIP05(II: 1266-1269).
IEEE DOI 0512
BibRef

Yu, Y., Acton, S.T., Thornton, K.,
Detection of Radioactive Seeds in Ultrasound Images of the Prostate,
ICIP01(II: 319-322).
IEEE DOI 0108
BibRef

Pouliot, S., Zaccarin, A., Laurendeau, D., Pouliot, J.,
Automatic Detection of Three Radio-opaque Markers for Prostate Targeting Using Epid During External Radiation Therapy,
ICIP01(II: 857-860).
IEEE DOI 0108
BibRef

Adiga, P.S.U., Chaudhuri, B.B.,
Automatic Prostate Cancer Grading System Based on 3-D Histo-pathological Images,
MVA98(xx-yy). BibRef 9800

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Cervical Cancer Analysis, Ovarian Cancer .


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