Guillaume Chassagnon

According to our database, Guillaume Chassagnon authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Towards better certified segmentation via diffusion models.

Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Certification of Deep Learning Models for Medical Image Segmentation.

Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2021

AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia.

Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice André, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Nikos Paragios

Medical Image Anal., 2021

Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment.

Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Exploring Deep Registration Latent Spaces.

Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

2020

AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia.

Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice André, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Gael Freche, Aurelien Lombard, Laure Fournier, Hippolyte Monnier, Teodor Grand, Jules Gregory, Antoine Khalil, Elyas Mahdjoub, Pierre-Yves Brillet, Stephane Tran Ba, Valérie Bousson, Marie-Pierre Revel, Nikos Paragios

CoRR, 2020

2018

AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation.

Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Linear and Deformable Image Registration with 3D Convolutional Neural Networks.

Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation.

Maria Vakalopoulou, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Evangelia I. Zacharaki

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018