Tal Arbel

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 77

Top Venues

CoRR

MIDL

Medical Image Anal.

Comput. Vis. Image Underst.

Publications

Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations. CoRR (2024)
Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. CoRR (2024)
Daniel Duenias, Brennan Nichyporuk, Tal Arbel, Tammy Riklin Raviv
HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling. CoRR (2024)
Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. MICCAI (3) (2023)
Raghav Mehta, Changjian Shui, Tal Arbel
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis. MIDL (2023)
Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel
Debiasing Counterfactuals In the Presence of Spurious Correlations. CoRR (2023)
Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. CoRR (2023)
Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. CoRR (2023)
Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. CoRR (2023)
Raghav Mehta, Changjian Shui, Tal Arbel
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis. CoRR (2023)
Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel
Debiasing Counterfactuals in the Presence of Spurious Correlations. CLIP/FAIMI/EPIMI@MICCAI (2023)
Xing Shen, Hengguan Huang, Brennan Nichyporuk, Tal Arbel
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles. CoRR (2023)
Qing Tian, Tal Arbel, James J. Clark
Grow-push-prune: Aligning deep discriminants for effective structural network compression. Comput. Vis. Image Underst. 231 (2023)
Junde Wu, Rao Fu, Huihui Fang, Yuanpei Liu, Zhaowei Wang, Yanwu Xu, Yueming Jin, Tal Arbel
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation. CoRR (2023)
Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. MICCAI (5) (2023)
Chelsea Myers-Colet, Julien Schroeter, Douglas L. Arnold, Tal Arbel
Heatmap Regression for Lesion Detection Using Pointwise Annotations. MILLanD@MICCAI (2022)
Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel
Information Gain Sampling for Active Learning in Medical Image Classification. CoRR (2022)
Julien Schroeter, Chelsea Myers-Colet, Douglas L. Arnold, Tal Arbel
Segmentation-Consistent Probabilistic Lesion Counting. MIDL (2022)
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. CoRR (2022)
Julien Schroeter, Chelsea Myers-Colet, Douglas L. Arnold, Tal Arbel
Segmentation-Consistent Probabilistic Lesion Counting. CoRR (2022)
Raghav Mehta, Thomas Christinck, Tanya Nair, Aurélie Bussy, Swapna Premasiri, Manuela Costantino, M. Mallar Chakravarthy, Douglas L. Arnold, Yarin Gal, Tal Arbel
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference. IEEE Trans. Medical Imaging 41 (2) (2022)
Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. CoRR (2022)
Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles Ling, Tal Arbel, Boyu Wang, Christian Gagné
On Learning Fairness and Accuracy on Multiple Subgroups. CoRR (2022)
Chelsea Myers-Colet, Julien Schroeter, Douglas L. Arnold, Tal Arbel
Heatmap Regression for Lesion Detection using Pointwise Annotations. CoRR (2022)
Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Arnold L. Douglas, Tal Arbel
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. MIDL (2022)
Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. CoRR (2022)
Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. AIIIMA/MIABID@MICCAI (2022)
Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné
On Learning Fairness and Accuracy on Multiple Subgroups. NeurIPS (2022)
Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR (2022)
Anjun Hu, Jean-Pierre R. Falet, Brennan S. Nichyporuk, Changjian Shui, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. CoRR (2022)
Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel
Information Gain Sampling for Active Learning in Medical Image Classification. UNSURE@MICCAI (2022)
Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images. CoRR (2021)
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. CoRR (2021)
Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
Common Limitations of Image Processing Metrics: A Picture Story. CoRR (2021)
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
Accounting for Variance in Machine Learning Benchmarks. MLSys (2021)
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
Accounting for Variance in Machine Learning Benchmarks. CoRR (2021)
Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting. CoRR (2021)
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. DART/FAIR@MICCAI (2021)
Qing Tian, Tal Arbel, James J. Clark
Task dependent deep LDA pruning of neural networks. Comput. Vis. Image Underst. 203 (2021)
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR (2021)
Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images. MIDL (2021)
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)
Boris N. Oreshkin, Tal Arbel
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration. CoRR (2020)
Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. CoRR (2020)
Nazanin Mohammadi Sepahvand, Douglas L. Arnold, Tal Arbel
CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images. ISBI (2020)
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. Medical Image Anal. 66 (2020)
Qing Tian, Tal Arbel, James J. Clark
Deep discriminant analysis for task-dependent compact network search. CoRR (2020)
Boris N. Oreshkin, Tal Arbel
Uncertainty driven probabilistic voxel selection for image registration. CoRR (2020)
Raghav Mehta, Angelos Filos, Yarin Gal, Tal Arbel
Uncertainty Evaluation Metric for Brain Tumour Segmentation. CoRR (2020)
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)
Joshua Durso-Finley, Douglas L. Arnold, Tal Arbel
Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI. BrainLes@MICCAI (1) (2019)
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 (2019)
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)
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)
Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation. CoRR (2018)
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)
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)
Raghav Mehta, Tal Arbel
RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours. CoRR (2018)
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)
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)
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 (2018)
Qing Tian, Tal Arbel, James J. Clark
Structured deep Fisher pruning for efficient facial trait classification. Image Vis. Comput. 77 (2018)
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 J. 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 (2018)
Raghav Mehta, Tal Arbel
3D U-Net for Brain Tumour Segmentation. BrainLes@MICCAI (2) (2018)
Qing Tian, Tal Arbel, James J. Clark
Fisher Pruning of Deep Nets for Facial Trait Classification. CoRR (2018)
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)
Qing Tian, Tal Arbel, James J. Clark
Efficient Gender Classification Using a Deep LDA-Pruned Net. CoRR (2017)
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) (2017)
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)
Qing Tian, Tal Arbel, James J. Clark
Deep LDA-Pruned Nets for Efficient Facial Gender Classification. CVPR Workshops (2017)
Andrew Jesson, Tal Arbel
Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss. BrainLes@MICCAI (2017)
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) (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 Anal. 30 (2016)
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 (2016)
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)
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 (2016)
Qing Tian, Tal Arbel, James J. Clark
Shannon information based adaptive sampling for action recognition. ICPR (2016)
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. Medical Imaging 34 (10) (2015)
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 (2015)
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)
Tal Arbel, Dante De Nigris
Fast and efficient image registration based on gradient orientations of minimal uncertainty. ISBI (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. Medical Imaging 34 (6) (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. Eng. 62 (5) (2015)
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)
Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel
Multi-layer temporal graphical model for head pose estimation in real-world videos. ICIP (2014)
Meltem Demirkus, James J. Clark, Tal Arbel
Robust semi-automatic head pose labeling for real-world face video sequences. Multim. Tools Appl. 70 (1) (2014)
Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel
Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model. ECCV (1) (2014)
Colm Elliott, Douglas L. Arnold, D. Louis Collins, Tal Arbel
A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions. BAMBI (2014)
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)
Nagesh K. Subbanna, Doina Precup, Tal Arbel
Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI. CVPR (2014)
Colm Elliott, Douglas L. Arnold, D. Louis Collins, Tal Arbel
Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI. IEEE Trans. Medical Imaging 32 (8) (2013)
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)
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)
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) (2013)
Boris N. Oreshkin, Tal Arbel
Uncertainty Driven Probabilistic Voxel Selection for Image Registration. IEEE Trans. Medical Imaging 32 (10) (2013)
Zahra Karimaghaloo, Hassan Rivaz, Tal Arbel
Hierarchical Conditional Random Fields for Myocardium Infarction Detection. STACOM (2012)
Dante De Nigris, D. Louis Collins, Tal Arbel
Multi-Modal Image Registration Based on Gradient Orientations of Minimal Uncertainty. IEEE Trans. Medical Imaging 31 (12) (2012)
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)
Boris N. Oreshkin, Tal Arbel
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration. WBIR (2012)
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. Medical Imaging 31 (6) (2012)

Tal Arbel.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Tal Arbel