Théo Estienne

According to our database, Théo Estienne authored at least 16 papers between 2018 and 2023.

Collaborative distances:

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

2023

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.

Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

IEEE Trans. Medical Imaging, March, 2023

2022

COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures.

Enzo Battistella, Maria Vakalopoulou, Roger Sun, Théo Estienne, Marvin Lerousseau, Sergey Nikolaev, Emilie Alvarez Andres, Alexandre Carré, Stéphane Niyoteka, Charlotte Robert, Nikos Paragios, Eric Deutsch

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021

Deep learning-based methods for 3D medical image registration. (Méthodes d'apprentissage profond pour le recalage 3d d'images médicales).

Théo Estienne

PhD thesis, 2021

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

CoRR, 2021

MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network.

Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Nikos Paragios, Eric Deutsch

CoRR, 2021

Cancer Gene Profiling through Unsupervised Discovery.

Enzo Battistella, Maria Vakalopoulou, Roger Sun, Théo Estienne, Marvin Lerousseau, Sergey Nikolaev, Emilie Alvarez Andres, Alexandre Carré, Stéphane Niyoteka, Charlotte Robert, Nikos Paragios, Eric Deutsch

CoRR, 2021

Weakly Supervised Pan-Cancer Segmentation Tool.

Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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

Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data.

Amaury Leroy, Kumar Shreshtha, Marvin Lerousseau, Théophraste Henry, Théo Estienne, Marion Classe, Nikos Paragios, Vincent Grégoire, Eric Deutsch

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020

Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation.

Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, Emilie Alvarez Andres, Enzo Battistella, Alexandre Carré, Siddhartha Chandra, Stergios Christodoulidis, Mihir Sahasrabudhe, Roger Sun, Charlotte Robert, Hugues Talbot, Nikos Paragios, Eric Deutsch

Frontiers Comput. Neurosci., 2020

Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation.

Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels.

Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch

Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

Brain Tumor Segmentation with Self-ensembled, Deeply-Supervised 3D U-Net Neural Networks: A BraTS 2020 Challenge Solution.

Théophraste Henry, Alexandre Carré, Marvin Lerousseau, Théo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets.

Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Marvin Lerousseau, Alexandre Carre, Guillaume Klausner, Roger Sun, Charlotte Robert, Stavroula G. Mougiakakou, Nikos Paragios, Eric Deutsch

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature.

Enzo Battistella, Maria Vakalopoulou, Théo Estienne, Marvin Lerousseau, Roger Sun, Charlotte Robert, Nikos Paragios, Eric Deutsch

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

2018

Context Aware 3D CNNs for Brain Tumor Segmentation.

Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, Enzo Battistella, Théo Estienne, Roger Sun, Charlotte Robert, Eric Deutsch, Nikos Paragios

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018