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Eugene Vorontsov
Eugene Vorontsov
Adresse e-mail validée de polymtl.ca
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The importance of skip connections in biomedical image segmentation
M Drozdzal, E Vorontsov, G Chartrand, S Kadoury, C Pal
Deep Learning and Data Labeling for Medical Applications, 179-187, 2016
8472016
Deep Learning: A Primer for Radiologists
G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ...
RadioGraphics 37 (7), 2113-2131, 2017
6132017
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B van Ginneken, ...
arXiv preprint arXiv:1902.09063, 2019
3882019
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
3832019
Learning normalized inputs for iterative estimation in medical image segmentation
M Drozdzal, G Chartrand, E Vorontsov, M Shakeri, L Di Jorio, A Tang, ...
Medical Image Analysis, 2017
2142017
On orthogonality and learning recurrent networks with long term dependencies
E Vorontsov, C Trabelsi, S Kadoury, C Pal
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1842017
Liver lesion segmentation informed by joint liver segmentation
E Vorontsov, A Tang, C Pal, S Kadoury
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
1082018
Deep learning for automated segmentation of liver lesions at CT in patients with colorectal cancer liver metastases
E Vorontsov, M Cerny, P Régnier, L Di Jorio, CJ Pal, R Lapointe, ...
Radiology. Artificial intelligence 1 (2), 2019
632019
The Medical Segmentation Decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, BA Landman, G Litjens, ...
arXiv preprint arXiv:2106.05735, 2021
542021
Dynamics and Distribution of Klothoβ (KLB) and Fibroblast Growth Factor Receptor-1 (FGFR1) in Living Cells Reveal the Fibroblast Growth Factor-21 (FGF21)-induced Receptor Complex
AYK Ming, E Yoo, EN Vorontsov, SM Altamentova, DM Kilkenny, ...
Journal of Biological Chemistry 287 (24), 19997-20006, 2012
462012
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
G Kerg, K Goyette, MP Touzel, G Gidel, E Vorontsov, Y Bengio, G Lajoie
Advances in Neural Information Processing Systems, 13613-13623, 2019
422019
Towards non-saturating recurrent units for modelling long-term dependencies
S Chandar, C Sankar, E Vorontsov, SE Kahou, Y Bengio
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3280-3287, 2019
392019
Metastatic liver tumor segmentation using texture-based omni-directional deformable surface models
E Vorontsov, N Abi-Jaoudeh, S Kadoury
International MICCAI Workshop on Computational and Clinical Challenges in …, 2014
352014
Metastatic liver tumour segmentation from discriminant Grassmannian manifolds
S Kadoury, E Vorontsov, A Tang
Physics in Medicine & Biology 60 (16), 6459, 2015
262015
Metastatic liver tumour segmentation with a neural network-guided 3D deformable model
E Vorontsov, A Tang, D Roy, CJ Pal, S Kadoury
Medical & biological engineering & computing, 1-13, 2016
242016
Towards semi-supervised segmentation via image-to-image translation
E Vorontsov, P Molchanov, C Beckham, W Byeon, S De Mello, V Jampani, ...
arXiv preprint arXiv:1904.01636, 2019
15*2019
Label noise in segmentation networks: mitigation must deal with bias
E Vorontsov, S Kadoury
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections …, 2021
42021
Managing Class Imbalance in Multi-Organ CT Segmentation in Head and Neck Cancer Patients
S Cros, E Vorontsov, S Kadoury
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1360-1364, 2021
12021
Prediction of CD3 T-cell infiltration status in colorectal liver metastases: a radiomics-based imaging biomarker
R Saber, D Henault, E Vorontsov, E Montagnon, A Tang, S Turcotte, ...
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 415-421, 2022
2022
Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks
WT Le, E Vorontsov, FP Romero, L Seddik, MM Elsharief, PF Nguyen-Tan, ...
Scientific Reports 12 (1), 1-17, 2022
2022
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