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Eugene Vorontsov

Showing results (1-10 of 12) with videos related to

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Physics in Medicine and Biology|August 7, 2015
Metastatic liver tumour segmentation from discriminant Grassmannian manifoldsSamuel Kadoury, Eugene Vorontsov, An Tang
Medical & Biological Engineering & Computing|April 24, 2016
Metastatic liver tumour segmentation with a neural network-guided 3D deformable modelEugene Vorontsov, An Tang, David Roy, et al.
Journal of Applied Clinical Medical Physics|June 6, 2022
Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancersSamuel Cros, Hugo Bouttier, Phuc Felix Nguyen-Tan, et al.
Medical Image Analysis|October 8, 2022
Towards annotation-efficient segmentation via image-to-image translationEugene Vorontsov, Pavlo Molchanov, Matej Gazda, et al.
Medical Image Analysis|August 7, 2024
Image-level supervision and self-training for transformer-based cross-modality tumor segmentationMalo Alefsen de Boisredon d'Assier, Aloys Portafaix, Eugene Vorontsov, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 14, 2017
Deep Learning: A Primer for RadiologistsGabriel Chartrand, Phillip M Cheng, Eugene Vorontsov, et al.
Medical Image Analysis|November 24, 2017
Learning normalized inputs for iterative estimation in medical image segmentationMichal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, et al.
Radiology. Artificial Intelligence|May 3, 2021
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver MetastasesEugene Vorontsov, Milena Cerny, Philippe Régnier, et al.
Scientific Reports|February 25, 2022
Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networksWilliam Trung Le, Eugene Vorontsov, Francisco Perdigón Romero, et al.
Nature Medicine|July 22, 2024
A foundation model for clinical-grade computational pathology and rare cancers detectionEugene Vorontsov, Alican Bozkurt, Adam Casson, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Physics in Medicine and Biology|August 7, 2015
Metastatic liver tumour segmentation from discriminant Grassmannian manifoldsSamuel Kadoury, Eugene Vorontsov, An Tang
Medical & Biological Engineering & Computing|April 24, 2016
Metastatic liver tumour segmentation with a neural network-guided 3D deformable modelEugene Vorontsov, An Tang, David Roy, et al.
Journal of Applied Clinical Medical Physics|June 6, 2022
Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancersSamuel Cros, Hugo Bouttier, Phuc Felix Nguyen-Tan, et al.
Medical Image Analysis|October 8, 2022
Towards annotation-efficient segmentation via image-to-image translationEugene Vorontsov, Pavlo Molchanov, Matej Gazda, et al.
Medical Image Analysis|August 7, 2024
Image-level supervision and self-training for transformer-based cross-modality tumor segmentationMalo Alefsen de Boisredon d'Assier, Aloys Portafaix, Eugene Vorontsov, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 14, 2017
Deep Learning: A Primer for RadiologistsGabriel Chartrand, Phillip M Cheng, Eugene Vorontsov, et al.
Medical Image Analysis|November 24, 2017
Learning normalized inputs for iterative estimation in medical image segmentationMichal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, et al.
Radiology. Artificial Intelligence|May 3, 2021
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver MetastasesEugene Vorontsov, Milena Cerny, Philippe Régnier, et al.
Scientific Reports|February 25, 2022
Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networksWilliam Trung Le, Eugene Vorontsov, Francisco Perdigón Romero, et al.
Nature Medicine|July 22, 2024
A foundation model for clinical-grade computational pathology and rare cancers detectionEugene Vorontsov, Alican Bozkurt, Adam Casson, et al.
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