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Tal Arbel

*: shared first/last authors

Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation


Aug 02, 2021
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios Tsaftaris, Douglas L. Arnold, Tal Arbel

* Accepted at DART 2021 

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Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting


Jul 27, 2021
Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel

* Accepted at MIDL 2021 

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Common Limitations of Image Processing Metrics: A Picture Story


Apr 13, 2021
Annika Reinke, Matthias Eisenmann, Minu D. 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 Kurc, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus Maier-Hein, Bjoern 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

* This is a dynamic paper on limitations of commonly used metrics. The current version discusses segmentation metrics only, while future versions will also include metrics for classification and detection. For missing use cases, comments or questions, please contact [email protected] or [email protected]. Substantial contributions to this document will be acknowledged with a co-authorship 

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HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images


Apr 09, 2021
Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel

* Accepted at Medical Imaging with Deep Learning (MIDL) 2021 

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Accounting for Variance in Machine Learning Benchmarks


Mar 01, 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

* Submitted to MLSys2021 

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Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration


Oct 02, 2020
Boris N. Oreshkin, Tal Arbel

* WBIR 2012. Lecture Notes in Computer Science, vol 7359. Springer, Berlin, Heidelberg 
* arXiv admin note: substantial text overlap with arXiv:2010.00988 

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Uncertainty driven probabilistic voxel selection for image registration


Oct 02, 2020
Boris N. Oreshkin, Tal Arbel

* in IEEE Transactions on Medical Imaging, vol. 32, no. 10, pp. 1777-1790, Oct. 2013 

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Deep discriminant analysis for task-dependent compact network search


Sep 29, 2020
Qing Tian, Tal Arbel, James J. Clark


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Medical Imaging with Deep Learning: MIDL 2020 -- Short Paper Track


Jun 29, 2020
Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal

* Accepted extended abstracts can also be found at https://openreview.net/group?id=MIDL.io/2020/Conference#abstract-accept-papers 

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Uncertainty Evaluation Metric for Brain Tumour Segmentation


May 28, 2020
Raghav Mehta, Angelos Filos, Yarin Gal, Tal Arbel


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BIAS: Transparent reporting of biomedical image analysis challenges


Oct 23, 2019
Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbuary, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett Landman

* 4 Supplements: Suppl 1: Reviewer checklist Suppl 2: Gloassary Suppl 3: Form for summarizing information on challenge organization Suppl 4: Structured description of a challenge design 

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Efficient Gender Classification Using a Deep LDA-Pruned Net


Oct 23, 2018
Qing Tian, Tal Arbel, James J. Clark

* The only difference with the previous version v2 is the title on the arxiv page. I am changing it back to the original title in v1 because otherwise google scholar cannot track the citations to this arxiv paper correctly. You could cite either the conference version or this arxiv version. They are equivalent 

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Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation


Oct 16, 2018
Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel

* Updated references in Introduction; Accepted to the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018) 

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RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours


Jul 28, 2018
Raghav Mehta, Tal Arbel

* Accepted at Workshop on Simulation and Synthesis in Medical Imaging - SASHIMI2018 held in conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018) 

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Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions


Jun 06, 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 Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir 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*

* 48 pages, under review in Nature Methods 

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Fisher Pruning of Deep Nets for Facial Trait Classification


Mar 21, 2018
Qing Tian, Tal Arbel, James J. Clark


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