| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1882 | 2023 |
| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature Communications 13 (1), 1-13, 2022 | 1648 | 2022 |
| The importance of skip connections in biomedical image segmentation M Drozdzal, E Vorontsov, G Chartrand, S Kadoury, C Pal International Workshop on Deep Learning in Medical Image Analysis, 179-187, 2016 | 1593 | 2016 |
| Deep Learning: A Primer for Radiologists G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ... RadioGraphics 37 (7), 2113-2131, 2017 | 1401 | 2017 |
| 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 | 1397 | 2019 |
| A foundation model for clinical-grade computational pathology and rare cancers detection E Vorontsov, A Bozkurt, A Casson, G Shaikovski, M Zelechowski, ... Nature Medicine, 1-12, 2024 | 571* | 2024 |
| 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 | 298 | 2017 |
| 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 | 291 | 2017 |
| 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 | 186 | 2018 |
| 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), 180014, 2019 | 147 | 2019 |
| Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology E Zimmermann, E Vorontsov, J Viret, A Casson, M Zelechowski, ... arXiv preprint arXiv:2408.00738, 2024 | 145 | 2024 |
| 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 | 91 | 2019 |
| 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 | 88 | 2019 |
| PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology G Shaikovski, A Casson, K Severson, E Zimmermann, YK Wang, JD Kunz, ... arXiv preprint arXiv:2405.10254, 2024 | 78 | 2024 |
| 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 | 65 | 2012 |
| 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 | 57 | 2014 |
| The liver tumor segmentation benchmark (lits). arXiv 2019 P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056 15, 16, 2019 | 54 | 2019 |
| Towards annotation-efficient segmentation via image-to-image translation E Vorontsov, P Molchanov, M Gazda, C Beckham, J Kautz, S Kadoury Medical Image Analysis 82, 102624, 2022 | 47* | 2022 |
| Metastatic liver tumour segmentation from discriminant Grassmannian manifolds S Kadoury, E Vorontsov, A Tang Physics in Medicine & Biology 60 (16), 6459, 2015 | 42 | 2015 |
| 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 | 35 | 2016 |
