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2020 – today
- 2024
[j4]Enzo Battistella
, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch:
GHOST: Graph-based higher-order similarity transformation for classification. Pattern Recognit. 155: 110623 (2024)- [c20]Alexandre Cafaro, Amaury Leroy, Guillaume Beldjoudi, Pauline Maury, Charlotte Robert, Eric Deutsch, Vincent Grégoire, Vincent Lepetit, Nikos Paragios:
XSynthMorph: Generative-Guided Deformation for Unsupervised Ill-Posed Volumetric Recovery. WBIR 2024: 19-33 - [i14]Alexandre Cafaro, Amaury Leroy, Guillaume Beldjoudi, Pauline Maury, Charlotte Robert, Eric Deutsch, Vincent Grégoire, Vincent Lepetit, Nikos Paragios:
GuidedRec: Guiding Ill-Posed Unsupervised Volumetric Recovery. CoRR abs/2405.11977 (2024) - 2023
- [c19]Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, Norbert Bus, Charlotte Robert, Eric Deutsch, Nikos Paragios:
Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. IPMI 2023: 485-496 - [c18]Alexandre Cafaro, Quentin Spinat, Amaury Leroy, Pauline Maury, Alexandre Munoz, Guillaume Beldjoudi, Charlotte Robert, Eric Deutsch, Vincent Grégoire, Vincent Lepetit, Nikos Paragios:
X2Vision: 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior. MICCAI (10) 2023: 699-709 - [c17]Amaury Leroy, Alexandre Cafaro, Grégoire Gessain, Anne Champagnac, Vincent Grégoire, Eric Deutsch, Vincent Lepetit, Nikos Paragios:
StructuRegNet: Structure-Guided Multimodal 2D-3D Registration. MICCAI (10) 2023: 771-780 - 2022
- [j3]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:
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3317-3331 (2022) - [c16]Amaury Leroy, Marvin Lerousseau, Théophraste Henry, Alexandre Cafaro, Nikos Paragios, Vincent Grégoire, Eric Deutsch:
End-to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation. MICCAI (6) 2022: 152-162 - [c15]Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis:
Region-Guided CycleGANs for Stain Transfer in Whole Slide Images. MICCAI (2) 2022: 356-365 - [i13]Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis:
Region-guided CycleGANs for Stain Transfer in Whole Slide Images. CoRR abs/2208.12847 (2022) - 2021
- [j2]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:
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia. Medical Image Anal. 67: 101860 (2021) - [c14]Alexandre Carré, Eric Deutsch, Charlotte Robert:
Automatic Brain Tumor Segmentation with a Bridge-Unet Deeply Supervised Enhanced with Downsampling Pooling Combination, Atrous Spatial Pyramid Pooling, Squeeze-and-Excitation and EvoNorm. BrainLes@MICCAI (2) 2021: 253-266 - [c13]Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios:
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification. COMPAY@MICCAI 2021: 129-139 - [c12]Amaury Leroy, Kumar Shreshtha, Marvin Lerousseau, Théophraste Henry, Théo Estienne, Marion Classe, Nikos Paragios, Vincent Grégoire, Eric Deutsch:
Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data. COMPAY@MICCAI 2021: 140-150 - [c11]Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou:
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. ICCVW 2021: 639-647 - [c10]Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch:
Exploring Deep Registration Latent Spaces. DART/FAIR@MICCAI 2021: 112-122 - [c9]Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios:
Weakly Supervised Pan-Cancer Segmentation Tool. MICCAI (8) 2021: 248-256 - [c8]Sonia Martinot, Norbert Bus, Maria Vakalopoulou, Charlotte Robert, Eric Deutsch, Nikos Paragios:
High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs. MICCAI (4) 2021: 499-508 - [i12]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:
Cancer Gene Profiling through Unsupervised Discovery. CoRR abs/2102.07713 (2021) - [i11]Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch:
Sparse convolutional context-aware multiple instance learning for whole slide image classification. CoRR abs/2105.02726 (2021) - [i10]Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios:
Weakly supervised pan-cancer segmentation tool. CoRR abs/2105.04269 (2021) - [i9]Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch:
Exploring Deep Registration Latent Spaces. CoRR abs/2107.11238 (2021) - [i8]Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou:
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. CoRR abs/2109.03299 (2021) - [i7]Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Nikos Paragios, Eric Deutsch:
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network. CoRR abs/2111.12123 (2021) - 2020
- [j1]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:
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers Comput. Neurosci. 14: 17 (2020) - [c7]Théophraste Henry, Alexandre Carré, Marvin Lerousseau, Théo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch:
Brain Tumor Segmentation with Self-ensembled, Deeply-Supervised 3D U-Net Neural Networks: A BraTS 2020 Challenge Solution. BrainLes@MICCAI (1) 2020: 327-339 - [c6]Marvin Lerousseau, Eric Deutsch, Nikos Paragios:
Multimodal Brain Tumor Classification. BrainLes@MICCAI (2) 2020: 475-486 - [c5]Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch:
Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels. MICCAI (Challenges) 2020: 87-93 - [c4]Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios:
Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation. MICCAI (5) 2020: 470-479 - [i6]Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios:
Weakly supervised multiple instance learning histopathological tumor segmentation. CoRR abs/2004.05024 (2020) - [i5]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:
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia. CoRR abs/2004.12852 (2020) - [i4]Marvin Lerousseau, Eric Deutsch, Nikos Paragios:
Multimodal brain tumor classification. CoRR abs/2009.01592 (2020) - [i3]Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch:
Deep learning based registration using spatial gradients and noisy segmentation labels. CoRR abs/2010.10897 (2020) - [i2]Théophraste Henry, Alexandre Carre, Marvin Lerousseau, Théo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch:
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution. CoRR abs/2011.01045 (2020)
2010 – 2019
- 2019
- [c3]Enzo Battistella, Maria Vakalopoulou, Théo Estienne, Marvin Lerousseau, Roger Sun, Charlotte Robert, Nikos Paragios, Eric Deutsch:
Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature. IWBBIO (1) 2019: 462-474 - [c2]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:
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. MICCAI (3) 2019: 310-319 - 2018
- [c1]Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, Enzo Battistella, Théo Estienne, Roger Sun, Charlotte Robert, Eric Deutsch, Nikos Paragios:
Context Aware 3D CNNs for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2018: 299-310 - [i1]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, Nathan D. Price, Carl Kesselman, Ian T. Foster:
Reproducible big data science: A case study in continuous FAIRness. RO 2018
Coauthor Index
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