Marvin Lerousseau

According to our database, Marvin Lerousseau authored at least 20 papers between 2019 and 2023.

Collaborative distances:

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

2023

Giga-SSL: Self-Supervised Learning for Gigapixel Images.

Tristan Lazard, Marvin Lerousseau, Etienne Decencière, Thomas Walter

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

End-to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation.

Amaury Leroy, Marvin Lerousseau, Théophraste Henry, Alexandre Cafaro, Nikos Paragios, Vincent Grégoire, Eric Deutsch

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Unsupervised Nuclei Segmentation Using Spatial Organization Priors.

Loïc Le Bescond, Marvin Lerousseau, Ingrid Garberis, Fabrice André, Stergios Christodoulidis, Maria Vakalopoulou, Hugues Talbot

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Sparse convolutional context-aware multiple instance learning for whole slide image classification.

Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch

CoRR, 2021

Design and implementation of an environment for Learning to Run a Power Network (L2RPN).

Marvin Lerousseau

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

SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification.

Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios

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

Multimodal Brain Tumor Classification.

Marvin Lerousseau, Eric Deutsch, Nikos Paragios

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

Learning to run a power network challenge for training topology controllers.

Antoine Marot, Benjamin Donnot, Camilo Romero, Luca Veyrin-Forrer, Marvin Lerousseau, Balthazar Donon, Isabelle Guyon

CoRR, 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