| Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics A Carré, G Klausner, M Edjlali, M Lerousseau, J Briend-Diop, R Sun, ... Scientific reports 10 (1), 12340, 2020 | 186 | 2020 |
| Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution T Henry, A Carré, M Lerousseau, T Estienne, C Robert, N Paragios, ... International MICCAI Brainlesion Workshop, 327-339, 2020 | 88 | 2020 |
| Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation M Lerousseau, M Vakalopoulou, M Classe, J Adam, E Battistella, A Carré, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 87 | 2020 |
| Learning to run a power network challenge for training topology controllers A Marot, B Donnot, C Romero, B Donon, M Lerousseau, L Veyrin-Forrer, ... Electric Power Systems Research 189, 106635, 2020 | 80 | 2020 |
| U-ReSNet: Ultimate coupling of registration and segmentation with deep nets T Estienne, M Vakalopoulou, S Christodoulidis, E Battistela, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 63 | 2019 |
| Deep learning-based concurrent brain registration and tumor segmentation T Estienne, M Lerousseau, M Vakalopoulou, E Alvarez Andres, ... Frontiers in computational neuroscience 14, 17, 2020 | 50 | 2020 |
| Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning EA Andres, L Fidon, M Vakalopoulou, M Lerousseau, A Carré, R Sun, ... International Journal of Radiation Oncology* Biology* Physics 108 (3), 813-823, 2020 | 27 | 2020 |
| SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification M Lerousseau, M Vakalopoulou, E Deutsch, N Paragios MICCAI Workshop on Computational Pathology, 129-139, 2021 | 18 | 2021 |
| Radiomics to evaluate interlesion heterogeneity and to predict lesion response and patient outcomes using a validated signature of CD8 cells in advanced melanoma patients … R Sun, M Lerousseau, J Briend-Diop, E Routier, S Roy, T Henry, K Ka, ... Journal for Immunotherapy of Cancer 10 (10), 2022 | 13 | 2022 |
| Deep learning based registration using spatial gradients and noisy segmentation labels T Estienne, M Vakalopoulou, E Battistella, A Carré, T Henry, ... Segmentation, Classification, and Registration of Multi-modality Medical …, 2021 | 12 | 2021 |
| Top 10 BraTS 2020 challenge solution: brain tumor segmentation with self-ensembled, deeply-supervised 3D-Unet like neural networks T Henry, A Carre, M Lerousseau, T Estienne, C Robert, N Paragios, ... arXiv preprint arXiv:2011.01045, 1-14, 2020 | 12 | 2020 |
| Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on … J Thagaard, G Broeckx, DB Page, CA Jahangir, S Verbandt, Z Kos, ... The Journal of pathology 260 (5), 498-513, 2023 | 11 | 2023 |
| Giga-SSL: Self-Supervised Learning for Gigapixel Images T Lazard, M Lerousseau, E Decencière, T Walter Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Perspectives in pathomics in head and neck cancer M Classe, M Lerousseau, JY Scoazec, E Deutsch Current Opinion in Oncology 33 (3), 175-183, 2021 | 10 | 2021 |
| Multimodal brain tumor classification M Lerousseau, E Deutsch, N Paragios Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 10 | 2021 |
| Weakly supervised pan-cancer segmentation tool M Lerousseau, M Classe, E Battistella, T Estienne, T Henry, A Leroy, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 8 | 2021 |
| Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast … DB Page, G Broeckx, CA Jahangir, S Verbandt, RR Gupta, J Thagaard, ... The Journal of pathology 260 (5), 514-532, 2023 | 7 | 2023 |
| Artificial intelligence, radiomics and pathomics to predict response and survival of patients treated with radiations R Sun, M Lerousseau, T Henry, A Carré, A Leroy, T Estienne, S Niyoteka, ... Cancer Radiotherapie: Journal de la Societe Francaise de Radiotherapie …, 2021 | 7* | 2021 |
| Gene expression high-dimensional clustering towards a novel, robust, clinically relevant and highly compact cancer signature E Battistella, M Vakalopoulou, T Estienne, M Lerousseau, R Sun, ... Bioinformatics and Biomedical Engineering: 7th International Work-Conference …, 2019 | 7 | 2019 |
| Investigation of radiomics based intra-patient inter-tumor heterogeneity and the impact of tumor subsampling strategies T Henry, R Sun, M Lerousseau, T Estienne, C Robert, B Besse, C Robert, ... Scientific Reports 12 (1), 17244, 2022 | 6 | 2022 |
