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1. The Multimodal Brain Tumor Image Segmentation
Benchmark (BRATS)
Menze, B.H. ; Jakab, A. ; Bauer, S. ; Kalpathy-Cramer, J. ;Farahani, K. ; Kirby, J. ; Burren, Y. ; Porz, N. ; Slotboom, J. ;Wiest, R. ; Lanczi, L. ; Gerstner, E. ; Weber, M.-A. ; Arbel, T. ;Avants, B.B. ; Ayache, N. ; Buendia, P. ; Collins, D.L. ; Cordier, N.; Corso, J.J. ; Criminisi, A. ; Das, T. ; Delingette, H. ; Demiralp, C. ;Durst, C.R. ; Dojat, M. ; Doyle, S. ; Festa, J. ; Forbes, F. ;Geremia, E. ; Glocker, B. ; Golland, P. ; Guo, X. ; Hamamci, A. ;Iftekharuddin, K.M. ; Jena, R. ; John, N.M. ; Konukoglu, E. ;Lashkari, D. ; Mariz, J.A. ; Meier, R. ; Pereira, S. ; Precup, D. ;Price, S.J. ; Raviv, T.R. ; Reza, S.M.S. ; Ryan, M. ; Sarikaya, D. ;Schwartz, L. ; Shin, H.-C. ; Shotton, J. ; Silva, C.A. ; Sousa, N. ;Subbanna, N.K. ; Szekely, G. ; Taylor, T.J. ; Thomas, O.M. ;Tustison, N.J. ; Unal, G. ; Vasseur, F. ; Wintermark, M. ; Ye, D.H. ;Zhao, L. ; Zhao, B. ; Zikic, D. ; Prastawa, M. ; Reyes, M. ; VanLeemput, K.Publication Year: 2015 , Page(s): 1993 - 2024
Cited by: Papers (1)
Abstract | PDF (4393 KB) | | HTML
2. Automated Vessel Segmentation Using Infinite Perimeter
Active Contour Model with Hybrid Region Information with
Application to Retinal Images
Yitian Zhao ; Rada, L. ; Ke Chen ; Harding, S.P. ; Yalin ZhengPublication Year: 2015 , Page(s): 1797 - 1807
Abstract | PDF (2148 KB) | | HTML
3. Ultrasound Volume Projection Imaging for Assessment of
Scoliosis
Cheung, C.-W.J. ; Guang-Quan Zhou ; Siu-Yin Law ; Tak-ManMak ; Ka-Lee Lai ; Yong-Ping ZhengPublication Year: 2015 , Page(s): 1760 - 1768
Cited by: Papers (1)
| Abstract | PDF (1336 KB) | | HTML
4. Automatic Segmentation of Spinal Canals in CT Images via
Iterative Topology Refinement
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BROWSE MY SETTINGS GET HELP WHAT CAN I ACCESS?
Qian Wang ; Le Lu ; Dijia Wu ; El-Zehiry, N. ; Yefeng Zheng ;
Dinggang Shen ; Zhou, K.S.
Publication Year: 2015 , Page(s): 1694 - 1704
Cited by: Papers (1)
| Abstract | PDF (1435 KB) | | HTML
5. Deformable Medical Image Registration: A Survey
Sotiras, A. ; Davatzikos, C. ; Paragios, N.
Publication Year: 2013 , Page(s): 1153 - 1190
Cited by: Papers (22)
| Abstract | PDF (1332 KB) | | HTML
6. The Delay Multiply and Sum Beamforming Algorithm in
Ultrasound B-Mode Medical Imaging
Matrone, G. ; Savoia, A.S. ; Caliano, G. ; Magenes, G.
Publication Year: 2015 , Page(s): 940 - 949
| Abstract | PDF (2775 KB) | | HTML
7. 3-D active appearance models: segmentation of cardiac
MR and ultrasound images
Mitchell, S.C. ; Bosch, J.G. ; Lelieveldt, B.P.F. ; van der Geest,
R.J. ; Reiber, J.H.C. ; Sonka, M.
Publication Year: 2002 , Page(s): 1167 - 1178
Cited by: Papers (96) | Patents (7)
| Abstract | PDF (689 KB) | | HTML
8. A Digital Preclinical PET/MRI Insert and Initial Results
Weissler, B. ; Gebhardt, P. ; Duppenbecker, P.M. ; Wehner, J. ;
Schug, D. ; Lerche, C.W. ; Goldschmidt, B. ; Salomon, A. ; Verel, I.
; Heijman, E.. ; Perkuhn, M. ; Heberling, D. ; Botnar, R.M. ;
Kiessling, F. ; Schulz, V.
Publication Year: 2015 , Page(s): 1
Cited by: Papers (1)
Multimedia
Abstract | PDF (1818 KB)
9. Segmentation of brain MR images through a hidden
Markov random field model and the expectation-
maximization algorithm
Yongyue Zhang ; Brady, M. ; Smith, S.
Publication Year: 2001 , Page(s): 45 - 57
Cited by: Papers (1006) | Patents (3)
| Abstract | PDF (375 KB) | | HTML
10. Ultrasound image segmentation: a survey
Noble, J.A. ; Boukerroui, D.
Publication Year: 2006 , Page(s): 987 - 1010
Cited by: Papers (214) | Patents (10)
| Abstract | PDF (1974 KB) | | HTML
11. Towards Large-Scale Histopathological Image Analysis:
Hashing-Based Image Retrieval
Xiaofan Zhang ; Wei Liu ; Dundar, M. ; Badve, S. ; Shaoting Zhang
Publication Year: 2015 , Page(s): 496 - 506
Cited by: Papers (1)
| Abstract | PDF (1728 KB) | | HTML
12. Accurate Segmentation of Vertebral Bodies and
Processes Using Statistical Shape Decomposition and
Conditional Models
Pereanez, M. ; Lekadir, K. ; Castro-Mateos, I. ; Pozo, J.M. ;Lazary, A. ; Frangi, A.F.Publication Year: 2015 , Page(s): 1627 - 1639
Cited by: Papers (1)
| Abstract | PDF (2534 KB) | | HTML
13. Stacked Sparse Autoencoder (SSAE) for Nuclei Detection
on Breast Cancer Histopathology images
Xu, J. ; Xiang, L. ; Liu, Q. ; Gilmore, H. ; Wu, J. ; Tang, J. ;Madabhushi, A.Publication Year: 2015 , Page(s): 1
| Abstract | PDF (20148 KB)
14. Transfer Learning Improves Supervised Image
Segmentation Across Imaging Protocols
van Opbroek, A. ; Ikram, M.A. ; Vernooij, M.W. ; de Bruijne, M.Publication Year: 2015 , Page(s): 1018 - 1030
| Abstract | PDF (2139 KB) | | HTML
15. Nonrigid registration using free-form deformations:
application to breast MR images
Rueckert, D. ; Sonoda, L.I. ; Hayes, C. ; Hill, D.L.G. ; Leach, M.O. ;Hawkes, D.J.Publication Year: 1999 , Page(s): 712 - 721
Cited by: Papers (1157) | Patents (69)
| Abstract | PDF (773 KB)
16. Regression Segmentation for Spinal Images
Zhijie Wang ; Xiantong Zhen ; KengYeow Tay ; Osman, S. ;Romano, W. ; Shuo LiPublication Year: 2015 , Page(s): 1640 - 1648
Cited by: Papers (3)
| Abstract | PDF (1350 KB) | | HTML
17. A Framework for Automated Spine and Vertebrae
Interpolation-Based Detection and Model-Based
Segmentation
Korez, R. ; Ibragimov, B. ; Likar, B. ; Pernus, F. ; Vrtovec, T.Publication Year: 2015 , Page(s): 1649 - 1662
Cited by: Papers (1)
| Abstract | PDF (2829 KB) | | HTML
18. Evaluation and Comparison of Current Fetal Ultrasound
Image Segmentation Methods for Biometric Measurements: A
Grand Challenge
Rueda, S. ; Fathima, S. ; Knight, C.L. ; Yaqub, M. ;Papageorghiou, A.T. ; Rahmatullah, B. ; Foi, A. ; Maggioni, M. ;Pepe, A. ; Tohka, J. ; Stebbing, R.V. ; McManigle, J.E. ; Ciurte, A. ;Bresson, X. ; Cuadra, M.B. ; Changming Sun ; Ponomarev, G.V. ;Gelfand, M.S. ; Kazanov, M.D. ; Ching-Wei Wang ; Hsiang-ChouChen ; Chun-Wei Peng ; Chu-Mei Hung ; Noble, J.A.Publication Year: 2014 , Page(s): 797 - 813
Cited by: Papers (2)
Abstract | PDF (3391 KB) | | HTML
19. Retinal vessel segmentation using the 2-D Gabor waveletand supervised classification
Soares, J.V.B. ; Leandro, J.J.G. ; Cesar, R.M. ; Jelinek, H.F. ;Cree, M.J.Publication Year: 2006 , Page(s): 1214 - 1222
Cited by: Papers (158)
| Abstract | PDF (1716 KB) | | HTML
20. Automatic Segmentation of the Spinal Cord and SpinalCanal Coupled With Vertebral Labeling
De Leener, B. ; Cohen-Adad, J. ; Kadoury, S.Publication Year: 2015 , Page(s): 1705 - 1718
Cited by: Papers (1)
| Abstract | PDF (1913 KB) | | HTML
21. A contribution of image processing to the diagnosis ofdiabetic retinopathy-detection of exudates in color fundusimages of the human retina
Walter, T. ; Klein, J.-C. ; Massin, P. ; Erginay, A.Publication Year: 2002 , Page(s): 1236 - 1243
Cited by: Papers (128) | Patents (4)
| Abstract | PDF (748 KB) | | HTML
22. Estimating CT Image from MRI Data Using StructuredRandom Forest and Auto-context Model
Huynh, T. ; Gao, Y. ; Kang, J. ; Wang, L. ; Zhang, P. ; Lian, J. ;Shen, D.Publication Year: 2015 , Page(s): 1
| Abstract | PDF (682 KB)
23. Statistical Interspace Models (SIMs): Application toRobust 3D Spine SegmentationCastro-Mateos, I. ; Pozo, J.M. ; Pereanez, M. ; Lekadir, K. ;Lazary, A. ; Frangi, A.F.Publication Year: 2015 , Page(s): 1663 - 1675
Cited by: Papers (1)
| Abstract | PDF (2206 KB) | | HTML
24. Reverse-Time Migration Based Optical Imaging
Wang, Z. ; Ding, H. ; Lu, G. ; Bi, X.Publication Year: 2015 , Page(s): 1
Abstract | PDF (1135 KB)
25. Multi-Modality Vertebra Recognition in Arbitrary ViewsUsing 3D Deformable Hierarchical Model
Yunliang Cai ; Osman, S. ; Sharma, M. ; Landis, M. ; Shuo LiPublication Year: 2015 , Page(s): 1676 - 1693
Cited by: Papers (1)
| Abstract | PDF (2970 KB) | | HTML
26. Generalized Overlap Measures for Evaluation andValidation in Medical Image Analysis
Crum, W.R. ; Camara, O. ; Hill, D.L.G.Publication Year: 2006 , Page(s): 1451 - 1461
Cited by: Papers (34)
| Abstract | PDF (802 KB) | | HTML
27. Spinal Navigation and Imaging: History, Trends, and
Future
Helm, P.A. ; Teichman, R. ; Hartmann, S.L. ; Simon, D.
Publication Year: 2015 , Page(s): 1738 - 1746
Cited by: Papers (1)
| Abstract | PDF (1443 KB) | | HTML
28. Multimodality image registration by maximization of
mutual information
Maes, F. ; Collignon, A. ; Vandermeulen, D. ; Marchal, G. ;
Suetens, P.
Publication Year: 1997 , Page(s): 187 - 198
Cited by: Papers (1334) | Patents (74)
| Abstract | PDF (624 KB)
29. A New Supervised Method for Blood Vessel Segmentation
in Retinal Images by Using Gray-Level and Moment
Invariants-Based Features
Marin, D. ; Aquino, A. ; Gegundez-Arias, M.E. ; Bravo, J.M.
Publication Year: 2011 , Page(s): 146 - 158
Cited by: Papers (42)
| Abstract | PDF (1818 KB) | | HTML
30. PET Image Reconstruction Using Kernel Method
Guobao Wang ; Jinyi Qi
Publication Year: 2015 , Page(s): 61 - 71
| Abstract | PDF (2017 KB) | | HTML
31. A Reconstruction-Classification Method for
Multifrequency Electrical Impedance Tomography
Malone, E. ; Sato dos Santos, G. ; Holder, D. ; Arridge, S.
Publication Year: 2015 , Page(s): 1486 - 1497
Abstract | PDF (2225 KB) | | HTML
32. LRTV: MR Image Super-Resolution with Low-Rank and
Total Variation Regularizations
Shi, F. ; Cheng, J. ; Wang, L. ; Yap, P. ; Shen, D.
Publication Year: 2015 , Page(s): 1
| Abstract | PDF (12592 KB)
33. Comparison and Evaluation of Methods for Liver
Segmentation From CT Datasets
Heimann, T. ; van Ginneken, B. ; Styner, M.A. ; Arzhaeva, Y. ;
Aurich, V. ; Bauer, C. ; Beck, A. ; Becker, C. ; Beichel, R. ; Bekes,
G. ; Bello, F. ; Binnig, G. ; Bischof, H. ; Bornik, A. ; Cashman, P. ;
Ying Chi ; Cordova, A. ; Dawant, B.M. ; Fidrich, M. ; Furst, J.D. ;
Furukawa, D. ; Grenacher, L. ; Hornegger, J. ; Kainmuller, D. ;
Kitney, R.I. ; Kobatake, H. ; Lamecker, H. ; Lange, T. ; Jeongjin
Lee ; Lennon, B. ; Rui Li ; Senhu Li ; Meinzer, H.-P. ; Nemeth, G. ;
Raicu, D.S. ; Rau, A.-M. ; van Rikxoort, E.M. ; Rousson, M. ;
Rusko, L. ; Saddi, K.A. ; Schmidt, G. ; Seghers, D. ; Shimizu, A. ;
Slagmolen, P. ; Sorantin, E. ; Soza, G. ; Susomboon, R. ; Waite,
J.M. ; Wimmer, A. ; Wolf, I.
Publication Year: 2009 , Page(s): 1251 - 1265
Cited by: Papers (103)
| Abstract | PDF (4199 KB) | | HTML
34. Retinal artery-vein classification via topology estimation
Estrada, R. ; Allingham, M. ; Mettu, P. ; Cousins, S. ; Tomasi, C. ;Farsiu, S.Publication Year: 2015 , Page(s): 1
| Abstract | PDF (21767 KB)
35. FPGA-Based Voltage and Current Dual Drive System for
High Frame Rate Electrical Impedance Tomography
Khan, S. ; Manwaring, P. ; Borsic, A. ; Halter, R.Publication Year: 2015 , Page(s): 888 - 901
Cited by: Papers (1)
| Abstract | PDF (1576 KB) | | HTML
36. Locating the optic nerve in a retinal image using the fuzzy
convergence of the blood vessels
Hoover, A. ; Goldbaum, M.Publication Year: 2003 , Page(s): 951 - 958
Cited by: Papers (168) | Patents (3)
| Abstract | PDF (678 KB) | | HTML
37. Geodesic Information Flows: Spatially-Variant Graphs
and Their Application to Segmentation and Fusion
Cardoso, M.J. ; Modat, M. ; Wolz, R. ; Melbourne, A. ; Cash, D. ;Rueckert, D. ; Ourselin, S.Publication Year: 2015 , Page(s): 1976 - 1988
Abstract | PDF (1768 KB) | | HTML
38. Localization and Segmentation of 3D Intervertebral Discs
in MR Images by Data Driven Estimation
Cheng Chen ; Belavy, D. ; Weimin Yu ; Chengwen Chu ;Armbrecht, G. ; Bansmann, M. ; Felsenberg, D. ; Guoyan ZhengPublication Year: 2015 , Page(s): 1719 - 1729
Cited by: Papers (1)
Multimedia
| Abstract | PDF (1718 KB) | | HTML
39. A Novel Multiple-Instance Learning-Based Approach to
Computer-Aided Detection of Tuberculosis on Chest X-Rays
Melendez, J. ; van Ginneken, B. ; Maduskar, P. ; Philipsen,R.H.H.M. ; Reither, K. ; Breuninger, M. ; Adetifa, I.M.O. ; Maane,R. ; Ayles, H. ; Sanchez, C.I.Publication Year: 2015 , Page(s): 179 - 192
| Abstract | PDF (1286 KB) | | HTML
40. Digital Topology and Geometry in Medical Imaging: A
Survey
Saha, P.K. ; Strand, R. ; Borgefors, G.Publication Year: 2015 , Page(s): 1940 - 1964
Cited by: Papers (1)
| Abstract | PDF (2278 KB) | | HTML
41. Locating blood vessels in retinal images by piecewise
threshold probing of a matched filter response
Hoover, A. ; Kouznetsova, V. ; Goldbaum, M.Publication Year: 2000 , Page(s): 203 - 210
Cited by: Papers (325) | Patents (6)
| Abstract | PDF (322 KB)
42. Cell Detection From Redundant Candidate Regions UnderNonoverlapping Constraints
Bise, R. ; Sato, Y.
Publication Year: 2015 , Page(s): 1417 - 1427
| Abstract | PDF (1547 KB) | | HTML
43. A Stochastic Polygons Model for Glandular Structures inColon Histology Images
Sirinukunwattana, K. ; Snead, D.R.J. ; Rajpoot, N.M.
Publication Year: 2015 , Page(s): 1
Multimedia
| Abstract | PDF (9476 KB)
44. Comb-Push Ultrasound Shear Elastography (CUSE) forEvaluation of Thyroid Nodules: Preliminary In Vivo Results
Mehrmohammadi, M. ; Pengfei Song ; Meixner, D.D. ; Fazzio, R.T.
; Shigao Chen ; Greenleaf, J.F. ; Fatemi, M. ; Alizad, A.
Publication Year: 2015 , Page(s): 97 - 106
Abstract | PDF (1408 KB) | | HTML
45. Combining Ordered Subsets and Momentum forAccelerated X-Ray CT Image Reconstruction
Donghwan Kim ; Ramani, S. ; Fessler, J.A.
Publication Year: 2015 , Page(s): 167 - 178
Cited by: Papers (3)
Multimedia
| Abstract | PDF (3731 KB) | | HTML
46. Probabilistic independent component analysis forfunctional magnetic resonance imagingBeckmann, C.F. ; Smith, S.M.
Publication Year: 2004 , Page(s): 137 - 152
Cited by: Papers (438) | Patents (5)
| Abstract | PDF (741 KB) | | HTML
47. DALSA: Domain Adaptation for Supervised Learning fromSparsely Annotated MR Images
Goetz, M. ; Weber, C. ; Binczyk, F. ; Polanska, J. ; Tarnawski, R. ;
Bobek-Billewicz, B. ; Koethe, U. ; Kleesiek, J. ; Stieltjes, B. ; Maier-
Hein, K.H.
Publication Year: 2015 , Page(s): 1
| Abstract | PDF (5788 KB)
48. Transport on Riemannian Manifold for Connectivity-basedBrain Decoding
Ng, B. ; Varoquaux, G. ; Poline, J.B. ; Greicius, M. ; Thirion, B.
Publication Year: 2015 , Page(s): 1
| Abstract | PDF (422 KB)
49. Low-rank Atlas Image Analyses in the Presence ofPathologies
Liu, X. ; Niethammer, M. ; Kwitt, R. ; Singh, N. ; McCormick, M. ;
Aylward, S.
Publication Year: 2015 , Page(s): 1
Abstract | PDF (8759 KB)
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50. Attenuation Correction Synthesis for Hybrid PET-MR
Scanners: Application to Brain Studies
Burgos, N. ; Cardoso, M.J. ; Thielemans, K. ; Modat, M. ;Pedemonte, S. ; Dickson, J. ; Barnes, A. ; Ahmed, R. ; Mahoney,C.J. ; Schott, J.M. ; Duncan, J.S. ; Atkinson, D. ; Arridge, S.R. ;Hutton, B.F. ; Ourselin, S.Publication Year: 2014 , Page(s): 2332 - 2341
Cited by: Papers (1)
Abstract | PDF (1822 KB) | | HTML
IEEE Transactions on Medical Imaging (T-MI) encourages the submission ofmanuscripts on imaging of bodystructures, morphology and function, andimaging of microscopic biological entities.The journal publishes originalcontributions on medical imaging achievedby various modalities, such as ultrasound,X-rays (including CT) magnetic resonance,radionuclides, microwaves, and light, aswell as medical image processing andanalysis, visualization, pattern recognition,and related methods. Studies involvinghighly technical perspectives are mostwelcome. The journal focuses on a unifiedcommon ground where instrumentation,systems, components, hardware andsoftware, mathematics and physicscontribute to the studies.
Aims & Scope
Editor-in-Chief
Michael Insana
Beckman Institute for Advanced Science
and Technology
Department of Bioengineering
University of Illinois at Urbana-
Champaign
Urbana, IL 61801 USA
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