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ORCIDEugene Vorontsov
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2020 – today
- 2024
[j5]Malo Alefsen de Boisredon d'Assier, Aloys Portafaix
, Eugene Vorontsov, William Trung Le, Samuel Kadoury:
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation. Medical Image Anal. 97: 103287 (2024)- [i18]Eric Zimmermann, Neil A. Tenenholtz, James Brian Hall, George Shaikovski, Michal Zelechowski, Adam Casson, Fausto Milletari, Julian Viret, Eugene Vorontsov, Siqi Liu, Kristen Severson:
Adapting Self-Supervised Learning for Computational Pathology. CoRR abs/2405.01688 (2024) - [i17]George Shaikovski, Adam Casson, Kristen Severson, Eric Zimmermann, Yi Kan Wang, Jeremy D. Kunz, Juan Retamero, Gerard Oakley, David S. Klimstra, Christopher Kanan, Matthew G. Hanna, Michal Zelechowski, Julian Viret, Neil A. Tenenholtz, James Brian Hall, Nicolò Fusi, Razik Yousfi, Peter Hamilton, William A. Moye, Eugene Vorontsov, Siqi Liu, Thomas J. Fuchs:
PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology. CoRR abs/2405.10254 (2024) - [i16]Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil A. Tenenholtz, James Brian Hall, David S. Klimstra, Razik Yousfi, Thomas J. Fuchs, Nicoló Fusi, Siqi Liu, Kristen Severson:
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology. CoRR abs/2408.00738 (2024) - 2023
- [j4]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [c10]Malo de Boisredon, Eugene Vorontsov, Samuel Kadoury:
M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision. MICCAI (4) 2023: 141-151 - [i15]Eugene Vorontsov, Alican Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kunz, Matthew C. H. Lee, Jan Bernhard, Ran A. Godrich, Gerard Oakley, Ewan Millar, Matthew G. Hanna, Juan Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, David S. Klimstra, Brandon Rothrock, Thomas J. Fuchs:
Virchow: A Million-Slide Digital Pathology Foundation Model. CoRR abs/2309.07778 (2023) - [i14]Malo de Boisredon, Eugene Vorontsov, William Trung Le, Samuel Kadoury:
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation. CoRR abs/2309.09246 (2023) - 2022
- [j3]Eugene Vorontsov, Pavlo Molchanov, Matej Gazda, Christopher Beckham, Jan Kautz, Samuel Kadoury:
Towards annotation-efficient segmentation via image-to-image translation. Medical Image Anal. 82: 102624 (2022) - [c9]Ralph Saber, David Henault, Eugene Vorontsov, Emmanuel Montagnon, An Tang, Simon Turcotte, Samuel Kadoury:
Prediction of CD3 T-cell infiltration status in colorectal liver metastases: a radiomics-based imaging biomarker. Computer-Aided Diagnosis 2022 - [i13]Malo Alefsen de Boisredon d'Assier, Eugene Vorontsov, Samuel Kadoury:
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision. CoRR abs/2212.07276 (2022) - 2021
- [c8]Samuel Cros, Eugene Vorontsov, Samuel Kadoury:
Managing Class Imbalance in Multi-Organ CT Segmentation in Head and Neck Cancer Patients. ISBI 2021: 1360-1364 - [c7]Eugene Vorontsov, Samuel Kadoury:
Label Noise in Segmentation Networks: Mitigation Must Deal with Bias. DGM4MICCAI/DALI@MICCAI 2021: 251-258 - [i12]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i11]Eugene Vorontsov, Samuel Kadoury:
Label noise in segmentation networks : mitigation must deal with bias. CoRR abs/2107.02189 (2021)
2010 – 2019
- 2019
- [c6]Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio:
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. AAAI 2019: 3280-3287 - [c5]Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie:
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics. NeurIPS 2019: 13591-13601 - [i10]Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i9]Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio:
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies. CoRR abs/1902.06704 (2019) - [i8]Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso:
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR abs/1902.09063 (2019) - [i7]Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz:
Boosting segmentation with weak supervision from image-to-image translation. CoRR abs/1904.01636 (2019) - [i6]Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie:
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics. CoRR abs/1905.12080 (2019) - 2018
- [j2]Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury:
Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Anal. 44: 1-13 (2018) - [c4]Eugene Vorontsov, An Tang, Chris Pal, Samuel Kadoury:
Liver lesion segmentation informed by joint liver segmentation. ISBI 2018: 1332-1335 - 2017
- [j1]Eugene Vorontsov, An Tang, David Roy, Christopher J. Pal, Samuel Kadoury:
Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. Medical Biol. Eng. Comput. 55(1): 127-139 (2017) - [c3]Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury, Chris Pal:
On orthogonality and learning recurrent networks with long term dependencies. ICML 2017: 3570-3578 - [i5]Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury, Chris Pal:
On orthogonality and learning recurrent networks with long term dependencies. CoRR abs/1702.00071 (2017) - [i4]Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury:
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation. CoRR abs/1702.05174 (2017) - [i3]Eugene Vorontsov, Gabriel Chartrand, An Tang, Chris Pal, Samuel Kadoury:
Liver lesion segmentation informed by joint liver segmentation. CoRR abs/1707.07734 (2017) - 2016
- [c2]Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal:
The Importance of Skip Connections in Biomedical Image Segmentation. LABELS/DLMIA@MICCAI 2016: 179-187 - [i2]Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal:
The Importance of Skip Connections in Biomedical Image Segmentation. CoRR abs/1608.04117 (2016) - 2015
- [i1]Samuel Kadoury, Eugene Vorontsov, An Tang:
Metastatic liver tumour segmentation from discriminant Grassmannian manifolds. CoRR abs/1509.00083 (2015) - 2014
- [c1]Eugene Vorontsov, Nadine Abi-Jaoudeh, Samuel Kadoury:
Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models. ABDI@MICCAI 2014: 74-83
Coauthor Index
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