| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1010 | 2018 |
| A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study R Sun, EJ Limkin, M Vakalopoulou, L Dercle, S Champiat, SR Han, ... The Lancet Oncology 19 (9), 1180-1191, 2018 | 580 | 2018 |
| Building detection in very high resolution multispectral data with deep learning features M Vakalopoulou, K Karantzalos, N Komodakis, N Paragios 2015 IEEE international geoscience and remote sensing symposium (IGARSS …, 2015 | 284 | 2015 |
| AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia G Chassagnon, M Vakalopoulou, E Battistella, S Christodoulidis, ... Medical image analysis 67, 101860, 2021 | 112* | 2021 |
| Demystification of AI-driven medical image interpretation: past, present and future P Savadjiev, J Chong, A Dohan, M Vakalopoulou, C Reinhold, ... European radiology 29 (3), 1616-1624, 2019 | 98 | 2019 |
| 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), 1-15, 2020 | 87 | 2020 |
| Artificial intelligence applications for thoracic imaging G Chassagnon, M Vakalopoulou, N Paragios, MP Revel European journal of radiology 123, 108774, 2020 | 82 | 2020 |
| Multitemporal very high resolution from space: Outcome of the 2016 IEEE GRSS data fusion contest L Mou, X Zhu, M Vakalopoulou, K Karantzalos, N Paragios, B Le Saux, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 68 | 2017 |
| Detecting urban changes with recurrent neural networks from multitemporal Sentinel-2 data M Papadomanolaki, S Verma, M Vakalopoulou, S Gupta, K Karantzalos IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 66 | 2019 |
| Benchmarking deep learning frameworks for the classification of very high resolution satellite multispectral data M Papadomanolaki, M Vakalopoulou, S Zagoruyko, K Karantzalos ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 63 | 2016 |
| AtlasNet: multi-atlas non-linear deep networks for medical image segmentation M Vakalopoulou, G Chassagnon, N Bus, R Marini, EI Zacharaki, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 40 | 2018 |
| Linear and deformable image registration with 3d convolutional neural networks C Stergios, S Mihir, V Maria, C Guillaume, R Marie-Pierre, M Stavroula, ... Image analysis for moving organ, breast, and thoracic images, 13-22, 2018 | 39 | 2018 |
| Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data M Vakalopoulou, K Karantzalos, N Komodakis, N Paragios Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 39 | 2015 |
| U-ReSNet: Ultimate coupling of registration and segmentation with deep nets T Estienne, M Vakalopoulou, S Christodoulidis, E Battistela, ... International conference on medical image computing and computer-assisted …, 2019 | 36 | 2019 |
| Deep learning: definition and perspectives for thoracic imaging G Chassagnon, M Vakalopolou, N Paragios, MP Revel European radiology 30 (4), 2021-2030, 2020 | 34 | 2020 |
| A novel object-based deep learning framework for semantic segmentation of very high-resolution remote sensing data: Comparison with convolutional and fully convolutional networks M Papadomanolaki, M Vakalopoulou, K Karantzalos Remote Sensing 11 (6), 684, 2019 | 34 | 2019 |
| Graph-based registration, change detection, and classification in very high resolution multitemporal remote sensing data M Vakalopoulou, K Karantzalos, N Komodakis, N Paragios IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 32 | 2016 |
| Automatic descriptor-based co-registration of frame hyperspectral data M Vakalopoulou, K Karantzalos Remote Sensing 6 (4), 3409-3426, 2014 | 32 | 2014 |
| 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 | 30 | 2020 |
| Context aware 3D CNNs for brain tumor segmentation S Chandra, M Vakalopoulou, L Fidon, E Battistella, T Estienne, R Sun, ... International MICCAI Brainlesion Workshop, 299-310, 2018 | 30 | 2018 |
