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Tal Arbel

*: shared first/last authors

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation -- Analysis of Ranking Metrics and Benchmarking Results

Dec 19, 2021
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Illyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Veronica Vilaplana, Hugh McHugh, Gonzalo Maso Talou, Alan Wang, Jay Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth 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, Elodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Llado, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-Andr Weber, Abhishek Mahajan, Andras Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel Marcus, Aikaterini Kotrotsou, Rivka Colen, John Freymann, Justin Kirby, Christos Davatzikos, Bjoern Menze, Spyridon Bakas, Yarin Gal, Tal Arbel

* Under submission at MELBA journal 

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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 

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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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