Tal Arbel

Qing Tian, Tal Arbel, James J. Clark:
Structured deep Fisher pruning for efficient facial trait classification. Image Vision Comput. 77: 45-59 (2018)

Simon Drouin, Anna Kochanowska, Marta Kersten-Oertel, Ian J. Gerard, Rina Zelmann, Dante De Nigris, Silvain Bériault, Tal Arbel, Denis Sirhan, Abbas F. Sadikot, Jeffery A. Hall, David S. Sinclair, Kevin Petrecca, Rolando F. DelMaestro, D. Louis Collins:
IBIS: an OR ready open-source platform for image-guided neurosurgery. Int. J. Computer Assisted Radiology and Surgery 12(3): 363-378 (2017)

Tal Arbel, Manuel Jorge Cardoso, William M. Wells III, Albert C. S. Chung, Doina Precup:
Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis. Computer Vision and Image Understanding 151: 1-2 (2016)

Zahra Karimaghaloo, Douglas L. Arnold, Tal Arbel:
Adaptive multi-level conditional random fields for detection and segmentation of small enhanced pathology in medical images. Medical Image Analysis 27: 17-30 (2016)

Rashed Karim, Pranav Bhagirath, Piet Claus, Richard James Housden, Zhong Chen, Zahra Karimaghaloo, Hyon-Mok Sohn, Laura Lara Rodríguez, Sergio Vera, Xènia Albà, Anja Hennemuth, Heinz-Otto Peitgen, Tal Arbel, Miguel Ángel González Ballester, Alejandro F. Frangi, Marco Götte, Reza Razavi, Tobias Schaeffter, Kawal S. Rhode:
Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images. Medical Image Analysis 30: 95-107 (2016)

Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel:
Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1185-1203 (2016)

Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel:
Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos. Computer Vision and Image Understanding 136: 128-145 (2015)

Rola Harmouche, Nagesh K. Subbanna, D. Louis Collins, Douglas L. Arnold, Tal Arbel:
Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information. IEEE Trans. Biomed. Engineering 62(5): 1281-1292 (2015)

Zahra Karimaghaloo, Hassan Rivaz, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI. IEEE Trans. Med. Imaging 34(6): 1227-1241 (2015)

Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Med. Imaging 34(10): 1993-2024 (2015)

Meltem Demirkus, James J. Clark, Tal Arbel:
Robust semi-automatic head pose labeling for real-world face video sequences. Multimedia Tools Appl. 70(1): 495-523 (2014)

Dante De Nigris, D. Louis Collins, Tal Arbel:
Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations. Int. J. Computer Assisted Radiology and Surgery 8(4): 649-661 (2013)

Colm Elliott, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI. IEEE Trans. Med. Imaging 32(8): 1490-1503 (2013)

Boris N. Oreshkin, Tal Arbel:
Uncertainty Driven Probabilistic Voxel Selection for Image Registration. IEEE Trans. Med. Imaging 32(10): 1777-1790 (2013)

Zahra Karimaghaloo, Mohak Shah, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields. IEEE Trans. Med. Imaging 31(6): 1181-1194 (2012)

Dante De Nigris, D. Louis Collins, Tal Arbel:
Multi-Modal Image Registration Based on Gradient Orientations of Minimal Uncertainty. IEEE Trans. Med. Imaging 31(12): 2343-2354 (2012)

Catherine Laporte, Tal Arbel:
Learning to estimate out-of-plane motion in ultrasound imagery of real tissue. Medical Image Analysis 15(2): 202-213 (2011)

Mohak Shah, Yiming Xiao, Nagesh K. Subbanna, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
Evaluating intensity normalization on MRIs of human brain with multiple sclerosis. Medical Image Analysis 15(2): 267-282 (2011)

Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim:
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Med. Imaging 30(11): 1901-1920 (2011)

Rupert Brooks, Tal Arbel:
Generalizing Inverse Compositional and ESM Image Alignment. International Journal of Computer Vision 87(3): 191-212 (2010)

Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel:
Feature-based morphometry: Discovering group-related anatomical patterns. NeuroImage 49(3): 2318-2327 (2010)

Sandra Skaff, Tal Arbel, James J. Clark:
A sequential Bayesian approach to color constancy using non-uniform filters. Computer Vision and Image Understanding 113(9): 993-1004 (2009)

Matthew Toews, Tal Arbel:
Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1567-1581 (2009)

Rupert Brooks, Tal Arbel, Doina Precup:
Anytime similarity measures for faster alignment. Computer Vision and Image Understanding 110(3): 378-389 (2008)

Catherine Laporte, Tal Arbel:
Combinatorial and Probabilistic Fusion of Noisy Correlation Measurements for Untracked Freehand 3-D Ultrasound. IEEE Trans. Med. Imaging 27(7): 984-994 (2008)

Matthew Toews, Tal Arbel:
A Statistical Parts-Based Model of Anatomical Variability. IEEE Trans. Med. Imaging 26(4): 497-508 (2007)

Catherine Laporte, Tal Arbel:
Efficient Discriminant Viewpoint Selection for Active Bayesian Recognition. International Journal of Computer Vision 68(3): 267-287 (2006)

Tal Arbel, Frank P. Ferrie:
Interactive visual dialog. Image Vision Comput. 20(9-10): 639-646 (2002)

Tal Arbel, Frank P. Ferrie:
On the Sequential Accumulation of Evidence. International Journal of Computer Vision 43(3): 205-230 (2001)

Tal Arbel, Frank P. Ferrie:
Entropy-based gaze planning. Image Vision Comput. 19(11): 779-786 (2001)

Tal Arbel, Peter Whaite, Frank P. Ferrie:
Parametric shape recognition using a probabilistic inverse theory. Pattern Recognition Letters 17(5): 491-501 (1996)