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 (BrainLes@MICCAI (2), 2018)

Reproducible big data science: A case study in continuous FAIRness. - Ravi K. Madduri; Kyle Chard; Michel D'Arcy; Segun Jung; Alexis A. Rodriguez; Dinanath Sulakhe; Eric Deutsch; Cory C. Funk; Benjamin D. Heavner; Matthew A. Richards; Paul Shannon; Gustavo Glusman; et al. (RO, 2018)

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 (IWBBIO (1), 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 (MICCAI (3), 2019)

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 (BrainLes@MICCAI (1), 2020)

Multimodal Brain Tumor Classification. - Marvin Lerousseau; Eric Deutsch; Nikos Paragios (BrainLes@MICCAI (2), 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 (MICCAI (Challenges), 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 (MICCAI (5), 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; et al. (CoRR, 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; et al. (Frontiers Comput. Neurosci., 2020)

Automatic Brain Tumor Segmentation with a Bridge-Unet Deeply Supervised Enhanced with Downsampling Pooling Combination, Atrous Spatial Pyramid Pooling, Squeeze-and-Excitation and EvoNorm. - Alexandre Carré; Eric Deutsch; Charlotte Robert (BrainLes@MICCAI (2), 2021)

SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification. - Marvin Lerousseau; Maria Vakalopoulou; Eric Deutsch; Nikos Paragios (COMPAY@MICCAI, 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 (COMPAY@MICCAI, 2021)

Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. - Joseph Boyd; Mykola Liashuha; Eric Deutsch; Nikos Paragios; Stergios Christodoulidis; Maria Vakalopoulou (ICCVW, 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 (DART/FAIR@MICCAI, 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 (MICCAI (8), 2021)

High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs. - Sonia Martinot; Norbert Bus; Maria Vakalopoulou; Charlotte Robert; Eric Deutsch; Nikos Paragios (MICCAI (4), 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)

Sparse convolutional context-aware multiple instance learning for whole slide image classification. - Marvin Lerousseau; Maria Vakalopoulou; Nikos Paragios; Eric Deutsch (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)

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; et al. (Medical Image Anal., 2021)

Region-Guided CycleGANs for Stain Transfer in Whole Slide Images. - Joseph Boyd; Irène Villa; Marie-Christine Mathieu; Eric Deutsch; Nikos Paragios; Maria Vakalopoulou; Stergios Christodoulidis (MICCAI (2), 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 (MICCAI (6), 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)

Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. - Sonia Martinot; Nikos Komodakis; Maria Vakalopoulou; Norbert Bus; Charlotte Robert; Eric Deutsch; Nikos Paragios (IPMI, 2023)

X2Vision: 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior. - Alexandre Cafaro; Quentin Spinat; Amaury Leroy; Pauline Maury; Alexandre Munoz; Guillaume Beldjoudi; Charlotte Robert; Eric Deutsch; Vincent Grégoire; Vincent Lepetit; Nikos Paragios (MICCAI (10), 2023)

StructuRegNet: Structure-Guided Multimodal 2D-3D Registration. - Amaury Leroy; Alexandre Cafaro; Grégoire Gessain; Anne Champagnac; Vincent Grégoire; Eric Deutsch; Vincent Lepetit; Nikos Paragios (MICCAI (10), 2023)

XSynthMorph: Generative-Guided Deformation for Unsupervised Ill-Posed Volumetric Recovery. - Alexandre Cafaro; Amaury Leroy; Guillaume Beldjoudi; Pauline Maury; Charlotte Robert; Eric Deutsch; Vincent Grégoire; Vincent Lepetit; Nikos Paragios (WBIR, 2024)

GuidedRec: Guiding Ill-Posed Unsupervised Volumetric Recovery. - Alexandre Cafaro; Amaury Leroy; Guillaume Beldjoudi; Pauline Maury; Charlotte Robert; Eric Deutsch; Vincent Grégoire; Vincent Lepetit; Nikos Paragios (CoRR, 2024)

GHOST: Graph-based higher-order similarity transformation for classification. - Enzo Battistella; Maria Vakalopoulou; Nikos Paragios; Eric Deutsch (Pattern Recognit., 2024)