EV
Eugene Vorontsov
cs.CVcs.LGeess.IVNeural Networks, ComputerAlgorithmscs.NESegmentationstat.MLattention mechanismsBenchmark
On Valency
published · living versionsW_z8wecm87·v1 · currentpublished
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
with Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello +19
1 version
Preprints & journals
28 papers in the corpus · 2015–2026A Multimodal Foundation Model for Longitudinal Patient Representation and Scalable Insight Generation in Oncology2608.24688v1 · Eugene Vorontsov, Yi Kan Wang, Alican Bozkurt et al.2026 · 0 citationsarXiv
End-to-end multimodal pathology foundation model with clinical dialogue.42538427 · Vorontsov, Eugene, Shaikovski, George, Casson, Adam et al.2026 · 3 citationsNature medicine. 2026;32(9):3203-3213
Mixed Magnification Aggregation for Generalizable Region-Level Representations in Computational Pathology2602.22176v1 · Eric Zimmermann, Julian Viret, Michal Zelechowski et al.2026 · 0 citationsarXiv
PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue2506.13063v2 · Eugene Vorontsov, George Shaikovski, Adam Casson et al.2025 · 0 citationsarXiv
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology2408.00738v3 · Eric Zimmermann, Eugene Vorontsov, Julian Viret et al.2024 · 53 citationsarXiv
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation.39111265 · de Boisredon d'Assier, Malo Alefsen, Portafaix, Aloys, Vorontsov, Eugene et al.2024 · 14 citationsMedical image analysis. 2024;97:103287
A foundation model for clinical-grade computational pathology and rare cancers detection.39039250 · Vorontsov, Eugene, Bozkurt, Alican, Casson, Adam et al.2024 · 560 citationsNature medicine. 2024;30(10):2924-2935
PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology2405.10254v2 · George Shaikovski, Adam Casson, Kristen Severson et al.2024 · 22 citationsarXiv
Adapting Self-Supervised Learning for Computational Pathology2405.01688v1 · Eric Zimmermann, Neil Tenenholtz, James Hall et al.2024 · 2 citationsarXiv
Virchow: A Million-Slide Digital Pathology Foundation Model2309.07778v6 · Eugene Vorontsov, Alican Bozkurt, Adam Casson et al.2023 · 64 citationsarXiv
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision2212.07276v2 · Malo Alefsen de Boisredon d'Assier, Eugene Vorontsov, Samuel Kadoury2022 · 1 citationarXiv
The Liver Tumor Segmentation Benchmark (LiTS).36481607 · Bilic, Patrick, Christ, Patrick, Li, Hongwei Bran et al.2023 · 1,394 citationsMedical image analysis. 2023;84:102680
Towards annotation-efficient segmentation via image-to-image translation.36208571 · Vorontsov, Eugene, Molchanov, Pavlo, Gazda, Matej et al.2022 · 23 citationsMedical image analysis. 2022;82:102624
The Medical Segmentation Decathlon.35840566 · Antonelli, Michela, Reinke, Annika, Bakas, Spyridon et al.2022 · 1,372 citationsNature communications. 2022;13(1):4128
Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancers.35661390 · Cros, Samuel, Bouttier, Hugo, Nguyen-Tan, Phuc Felix et al.2022 · 14 citationsJournal of applied clinical medical physics. 2022;23(8):e13655
Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks.35210482 · Le, William Trung, Vorontsov, Eugene, Romero, Francisco Perdigón et al.2022 · 30 citationsScientific reports. 2022;12(1):3183
Label noise in segmentation networks : mitigation must deal with bias2107.02189v1 · Eugene Vorontsov, Samuel Kadoury2021 · 16 citationsarXiv
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics1905.12080v2 · Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel et al.2019 · 30 citationsarXiv
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases.33937787 · Vorontsov, Eugene, Cerny, Milena, Régnier, Philippe et al.2022 · 140 citationsRadiology. Artificial intelligence. 2019;1(2):180014
A large annotated medical image dataset for the development and evaluation of segmentation algorithms1902.09063v1 · Amber L. Simpson, Michela Antonelli, Spyridon Bakas et al.2019 · 684 citationsarXivon Valency
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies1902.06704v1 · Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov et al.2019 · 51 citationsarXiv
Learning normalized inputs for iterative estimation in medical image segmentation.29169029 · Drozdzal, Michal, Chartrand, Gabriel, Vorontsov, Eugene et al.2019 · 225 citationsMedical image analysis. 2018;44:1-13
Deep Learning: A Primer for Radiologists.29131760 · Chartrand, Gabriel, Cheng, Phillip M, Vorontsov, Eugene et al.2018 · 1,115 citationsRadiographics : a review publication of the Radiological Society of North America, Inc. 2017;37(7):2113-2131
Liver lesion segmentation informed by joint liver segmentation1707.07734v3 · Eugene Vorontsov, An Tang, Chris Pal et al.2017 · 160 citationsarXiv
On orthogonality and learning recurrent networks with long term dependencies1702.00071v4 · Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury et al.2017 · 165 citationsarXiv
The Importance of Skip Connections in Biomedical Image Segmentation1608.04117v2 · Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand et al.2016 · 1,146 citationsarXiv
Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.27106756 · Vorontsov, Eugene, Tang, An, Roy, David et al.2017 · 26 citationsMedical & biological engineering & computing. 2017;55(1):127-139
Metastatic liver tumour segmentation from discriminant Grassmannian manifolds.26247117 · Kadoury, Samuel, Vorontsov, Eugene, Tang, An2016 · 27 citationsPhysics in medicine and biology. 2015;60(16):6459-78
Career total: 37 works. 28 are in this corpus.
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