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Semantic ScholarTal Arbel
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- affiliation: McGill University, Canada
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2020 – today
- 2020
[j32]Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel:
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation. Medical Image Anal. 59 (2020)
2010 – 2019
- 2019
- [c63]Raghav Mehta, Thomas Christinck, Tanya Nair, Paul Lemaître, Douglas L. Arnold, Tal Arbel:
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference. UNSURE/CLIP@MICCAI 2019: 23-32 - [c62]Barleen Kaur, Paul Lemaître, Raghav Mehta, Nazanin Mohammadi Sepahvand, Doina Precup, Douglas L. Arnold, Tal Arbel:
Improving Pathological Structure Segmentation via Transfer Learning Across Diseases. DART/MIL3ID@MICCAI 2019: 90-98 - [c61]Adrian Tousignant, Paul Lemaître, Doina Precup, Douglas L. Arnold, Tal Arbel:
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data. MIDL 2019: 483-492 - [e10]Hayit Greenspan, Ryutaro Tanno, Marius Erdt, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Carole H. Sudre, William M. Wells III, Klaus Drechsler, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures - First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11840, Springer 2019, ISBN 978-3-030-32688-3 [contents] - [i7]Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman:
BIAS: Transparent reporting of biomedical image analysis challenges. CoRR abs/1910.04071 (2019) - 2018
- [j31]Qing Tian, Tal Arbel, James J. Clark:
Structured deep Fisher pruning for efficient facial trait classification. Image Vis. Comput. 77: 45-59 (2018) - [c60]Nazanin Mohammadi Sepahvand, Tal Hassner, Douglas L. Arnold, Tal Arbel:
CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels. BrainLes@MICCAI (1) 2018: 57-69 - [c59]Raghav Mehta, Tal Arbel:
RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours. SASHIMI@MICCAI 2018: 119-129 - [c58]Raghav Mehta, Tal Arbel:
3D U-Net for Brain Tumour Segmentation. BrainLes@MICCAI (2) 2018: 254-266 - [c57]Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic
, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Müller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein:
How to Exploit Weaknesses in Biomedical Challenge Design and Organization. MICCAI (4) 2018: 388-395 - [c56]Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel:
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation. MICCAI (1) 2018: 655-663 - [i6]Qing Tian, Tal Arbel, James J. Clark:
Fisher Pruning of Deep Nets for Facial Trait Classification. CoRR abs/1803.08134 (2018) - [i5]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i4]Raghav Mehta, Tal Arbel:
RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours. CoRR abs/1807.10972 (2018) - [i3]Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel:
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation. CoRR abs/1808.01200 (2018) - [i2]Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.:
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR abs/1811.02629 (2018) - 2017
- [j30]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. Comput. Assist. Radiol. Surg. 12(3): 363-378 (2017) - [c55]Qing Tian, Tal Arbel, James J. Clark:
Deep LDA-Pruned Nets for Efficient Facial Gender Classification. CVPR Workshops 2017: 512-521 - [c54]Andrew Doyle, Colm Elliott, Zahra Karimaghaloo, Nagesh K. Subbanna, Douglas L. Arnold, Tal Arbel:
Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials. BrainLes@MICCAI 2017: 15-28 - [c53]Andrew Doyle, Doina Precup, Douglas L. Arnold, Tal Arbel:
Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation. MICCAI (3) 2017: 186-194 - [c52]Andrew Jesson, Tal Arbel:
Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss. BrainLes@MICCAI 2017: 392-402 - [e9]Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens:
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10081, Springer 2017, ISBN 978-3-319-61187-7 [contents] - [e8]M. Jorge Cardoso, Tal Arbel, João Manuel R. S. Tavares, Stephen R. Aylward, Shuo Li, Emad Boctor, Gabor Fichtinger, Kevin Cleary, Bradley Freeman, Luv Kohli, Deborah Shipley Kane, Matt Oetgen, Sonja Pujol:
Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound - International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10549, Springer 2017, ISBN 978-3-319-67551-0 [contents] - [e7]M. Jorge Cardoso, Tal Arbel, Xiongbiao Luo, Stefan Wesarg, Tobias Reichl, Miguel Ángel González Ballester, A. Jonathan McLeod, Klaus Drechsler, Terry M. Peters, Marius Erdt, Kensaku Mori, Marius George Linguraru, Andreas Uhl, Cristina Oyarzun Laura, Raj Shekhar:
Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures - 4th International Workshop, CARE 2017, and 6th International Workshop, CLIP 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10550, Springer 2017, ISBN 978-3-319-67542-8 [contents] - [e6]M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer:
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings. Lecture Notes in Computer Science 10551, Springer 2017, ISBN 978-3-319-67674-6 [contents] - [e5]M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro:
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings. Lecture Notes in Computer Science 10552, Springer 2017, ISBN 978-3-319-67533-6 [contents] - [e4]M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu:
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10553, Springer 2017, ISBN 978-3-319-67557-2 [contents] - [e3]M. Jorge Cardoso, Tal Arbel, Andrew Melbourne, Hrvoje Bogunovic, Pim Moeskops, Xinjian Chen, Ernst Schwartz, Mona Kathryn Garvin, Emma C. Robinson, Emanuele Trucco, Michael Ebner, Yanwu Xu, Antonios Makropoulos, Adrien E. Desjardins, Tom Vercauteren:
Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10554, Springer 2017, ISBN 978-3-319-67560-2 [contents] - [e2]M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian V. Dalca, Roland Wiest, Wiro J. Niessen, Bart J. Emmer:
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10555, Springer 2017, ISBN 978-3-319-67563-3 [contents] - [i1]Qing Tian, Tal Arbel, James J. Clark:
Efficient Gender Classification Using a Deep LDA-Pruned Net. CoRR abs/1704.06305 (2017) - 2016
- [j29]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. Comput. Vis. Image Underst. 151: 1-2 (2016) - [j28]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 Anal. 27: 17-30 (2016) - [j27]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 Anal. 30: 95-107 (2016) - [j26]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) - [c51]Qing Tian, Tal Arbel, James J. Clark:
Shannon information based adaptive sampling for action recognition. ICPR 2016: 967-972 - [c50]Ian J. Gerard, C. Couturier, Marta Kersten-Oertel, Simon Drouin, Dante De Nigris, Jeffery A. Hall, Kelvin Mok, Kevin Petrecca, Tal Arbel, D. Louis Collins:
Towards a Second Brain Images of Tumours for Evaluation (BITE2) Database. BrainLes@MICCAI 2016: 16-22 - 2015
- [j25]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. Comput. Vis. Image Underst. 136: 128-145 (2015) - [j24]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) - [j23]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) - [j22]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) - [c49]Nagesh K. Subbanna, Doina Precup, Douglas L. Arnold, Tal Arbel:
IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI. IPMI 2015: 514-526 - [c48]Tal Arbel, Dante De Nigris:
Fast and efficient image registration based on gradient orientations of minimal uncertainty. ISBI 2015: 1163-1166 - [c47]Ian J. Gerard, Marta Kersten-Oertel, Simon Drouin, Jeffery A. Hall, Kevin Petrecca, Dante De Nigris, Tal Arbel, D. Louis Collins:
Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Reality Visualizations in a Neuronavigation Environment. CLIP@MICCAI 2015: 28-35 - 2014
- [j21]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) - [c46]Colm Elliott, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions. BAMBI 2014: 118-129 - [c45]Nagesh K. Subbanna, Doina Precup, Tal Arbel:
Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI. CVPR 2014: 400-405 - [c44]Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel:
Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model. ECCV (1) 2014: 328-344 - [c43]Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel:
Multi-layer temporal graphical model for head pose estimation in real-world videos. ICIP 2014: 3392-3396 - [c42]Dante De Nigris, D. Louis Collins, Tal Arbel:
SymBA: Diffeomorphic Registration Based on Gradient Orientation Alignment and Boundary Proximity of Sparsely Selected Voxels. WBIR 2014: 21-30 - [e1]Manuel Jorge Cardoso, Ivor J. A. Simpson, Tal Arbel, Doina Precup, Annemie Ribbens:
Bayesian and grAphical Models for Biomedical Imaging - First International Workshop, BAMBI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8677, Springer 2014, ISBN 978-3-319-12288-5 [contents] - 2013
- [j20]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. Comput. Assist. Radiol. Surg. 8(4): 649-661 (2013) - [j19]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) - [j18]Boris N. Oreshkin, Tal Arbel:
Uncertainty Driven Probabilistic Voxel Selection for Image Registration. IEEE Trans. Med. Imaging 32(10): 1777-1790 (2013) - [c41]Zahra Karimaghaloo, Hassan Rivaz, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI. MICCAI (3) 2013: 543-550 - [c40]Nagesh K. Subbanna, Doina Precup, D. Louis Collins, Tal Arbel:
Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes. MICCAI (1) 2013: 751-758 - 2012
- [j17]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) - [j16]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) - [c39]Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel:
Soft biometric trait classification from real-world face videos conditioned on head pose estimation. CVPR Workshops 2012: 130-137 - [c38]Dante De Nigris, D. Louis Collins, Tal Arbel:
Fast and Robust Registration Based on Gradient Orientations: Case Study Matching Intra-operative Ultrasound to Pre-operative MRI in Neurosurgery. IPCAI 2012: 125-134 - [c37]Zahra Karimaghaloo, Hassan Rivaz, Tal Arbel:
Hierarchical Conditional Random Fields for Myocardium Infarction Detection. STACOM 2012: 80-86 - [c36]Zahra Karimaghaloo, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
Hierarchical Conditional Random Fields for Detection of Gad-Enhancing Lesions in Multiple Sclerosis. MICCAI (2) 2012: 379-386 - [c35]Boris N. Oreshkin, Tal Arbel:
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration. WBIR 2012: 150-159 - 2011
- [j15]Catherine Laporte, Tal Arbel:
Learning to estimate out-of-plane motion in ultrasound imagery of real tissue. Medical Image Anal. 15(2): 202-213 (2011) - [j14]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 Anal. 15(2): 267-282 (2011) - [j13]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) - [c34]Meltem Demirkus, Boris N. Oreshkin, James J. Clark, Tal Arbel:
Spatial and probabilistic codebook template based head pose estimation from unconstrained environments. ICIP 2011: 573-576 - [c33]Nagesh K. Subbanna, Simon J. Francis, Doina Precup, D. Louis Collins, Douglas L. Arnold, Tal Arbel:
Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information. MIUA 2011: 351-356 - 2010
- [j12]Rupert Brooks, Tal Arbel:
Generalizing Inverse Compositional and ESM Image Alignment. International Journal of Computer Vision 87(3): 191-212 (2010) - [j11]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) - [c32]Meltem Demirkus, Matthew Toews, James J. Clark, Tal Arbel:
Gender classification from unconstrained video sequences. CVPR Workshops 2010: 55-62 - [c31]Zahra Karimaghaloo, Mohak Shah, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields. MICCAI (3) 2010: 41-48 - [c30]Rishi Rajalingham, Matthew Toews, D. Louis Collins, Tal Arbel:
Exploring Cortical Folding Pattern Variability Using Local Image Features. MCV 2010: 43-53 - [c29]Catherine Laporte, Tal Arbel:
Measurement Selection in Untracked Freehand 3D Ultrasound. MICCAI (1) 2010: 127-134 - [c28]Yiming Xiao, Mohak Shah, Simon J. Francis, Douglas L. Arnold, Tal Arbel, D. Louis Collins:
Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis. MLMI 2010: 165-173 - [c27]Colm Elliott, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images. MICCAI (2) 2010: 290-297 - [c26]Dante De Nigris, Laurence Mercier, Rolando Del Maestro, D. Louis Collins, Tal Arbel:
Hierarchical Multimodal Image Registration Based on Adaptive Local Mutual Information. MICCAI (2) 2010: 643-651
2000 – 2009
- 2009
- [j10]Sandra Skaff, Tal Arbel, James J. Clark:
A sequential Bayesian approach to color constancy using non-uniform filters. Comput. Vis. Image Underst. 113(9): 993-1004 (2009) - [j9]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) - [c25]Catherine Laporte, Tal Arbel:
Learning a Tissue Invariant Ultrasound Speckle Decorrelation Model. ISBI 2009: 995-998 - [c24]Matthew Toews, D. Louis Collins, Tal Arbel:
Automatically Learning Cortical Folding Patterns. ISBI 2009: 1330-1333 - [c23]Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel:
Feature-Based Morphometry. MICCAI (1) 2009: 109-116 - 2008
- [j8]Rupert Brooks, Tal Arbel, Doina Precup:
Anytime similarity measures for faster alignment. Comput. Vis. Image Underst. 110(3): 378-389 (2008) - [j7]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) - [c22]Rupert Brooks, D. Louis Collins, Xavier Morandi, Tal Arbel:
Deformable Ultrasound Registration without Reconstruction. MICCAI (2) 2008: 1023-1031 - 2007
- [j6]Matthew Toews, Tal Arbel:
A Statistical Parts-Based Model of Anatomical Variability. IEEE Trans. Med. Imaging 26(4): 497-508 (2007) - [c21]Matthew Toews, Tal Arbel:
Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling. AMFG 2007: 154-167 - [c20]Rupert Brooks, Tal Arbel:
The importance of scale when selecting pixels for image registration. CRV 2007: 235-242 - [c19]Matthew Toews, Tal Arbel:
Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames. ICCV 2007: 1-8 - [c18]Rupert Brooks, Tal Arbel, Doina Precup:
Fast Image Alignment Using Anytime Algorithms. IJCAI 2007: 2078-2083 - [c17]Catherine Laporte, James J. Clark, Tal Arbel:
A Fractal Multi-Dimensional Ultrasound Scatterer Distribution Model. ISBI 2007: 880-883 - [c16]Catherine Laporte, Tal Arbel:
Probabilistic Speckle Decorrelation for 3D Ultrasound. MICCAI (1) 2007: 925-932 - 2006
- [j5]Catherine Laporte, Tal Arbel:
Efficient Discriminant Viewpoint Selection for Active Bayesian Recognition. International Journal of Computer Vision 68(3): 267-287 (2006) - [c15]Frank Riggi, Matthew Toews, Tal Arbel:
Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters. ICPR (2) 2006: 21-24 - [c14]Matthew Toews, Tal Arbel:
Detection Over Viewpoint via the Object Class Invariant. ICPR (1) 2006: 765-768 - [c13]Rola Harmouche, D. Louis Collins, Douglas L. Arnold, Simon J. Francis, Tal Arbel:
Bayesian MS Lesion Classification Modeling Regional and Local Spatial Information. ICPR (3) 2006: 984-987 - [c12]Rupert Brooks, Tal Arbel:
Generalizing inverse compositional image alignment. ICPR (2) 2006: 1200-1203 - [c11]Matthew Toews, D. Louis Collins, Tal Arbel:
A Statistical Parts-Based Appearance Model of Inter-subject Variability. MICCAI (1) 2006: 232-240 - 2005
- [c10]Matthew Toews, D. Louis Collins, Tal Arbel:
Maximum a Posteriori Local Histogram Estimation for Image Registration. MICCAI (2) 2005: 163-170 - 2004
- [c9]Catherine Laporte, Rupert Brooks, Tal Arbel:
A Fast Discriminant Approach to Active Object Recognition and Pose Estimation. ICPR (3) 2004: 91-94 - 2003
- [c8]Matthew Toews, Tal Arbel:
Entropy-of-likelihood Feature Selection for Image Correspondence. ICCV 2003: 1041-1047 - 2002
- [j4]Tal Arbel, Frank P. Ferrie:
Interactive visual dialog. Image Vis. Comput. 20(9-10): 639-646 (2002) - [c7]Sandra Skaff, Tal Arbel, James J. Clark:
Active Bayesian Color Constancy with Non-Uniform Sensors. ICPR (2) 2002: 681-684 - 2001
- [j3]Tal Arbel, Frank P. Ferrie:
On the Sequential Accumulation of Evidence. International Journal of Computer Vision 43(3): 205-230 (2001) - [j2]Tal Arbel, Frank P. Ferrie:
Entropy-based gaze planning. Image Vis. Comput. 19(11): 779-786 (2001) - [c6]Tal Arbel, Xavier Morandi, Roch M. Comeau, D. Louis Collins:
Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations. MICCAI 2001: 913-922 - 2000
- [c5]Tal Arbel, Frank P. Ferrie:
Interactive Visual Dialog. BMVC 2000: 1-10 - [c4]