| The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation S Jégou, M Drozdzal, D Vazquez, A Romero, Y Bengio Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1017 | 2017 |
| The importance of skip connections in biomedical image segmentation M Drozdzal, E Vorontsov, G Chartrand, S Kadoury, C Pal Deep learning and data labeling for medical applications, 179-187, 2016 | 497 | 2016 |
| Deep learning: a primer for radiologists G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ... Radiographics 37 (7), 2113-2131, 2017 | 356 | 2017 |
| Learning normalized inputs for iterative estimation in medical image segmentation M Drozdzal, G Chartrand, E Vorontsov, M Shakeri, L Di Jorio, A Tang, ... Medical image analysis 44, 1-13, 2018 | 160 | 2018 |
| fastMRI: An open dataset and benchmarks for accelerated MRI J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ... arXiv preprint arXiv:1811.08839, 2018 | 158 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 151 | 2019 |
| A benchmark for endoluminal scene segmentation of colonoscopy images D Vázquez, J Bernal, FJ Sánchez, G Fernández-Esparrach, AM López, ... Journal of healthcare engineering 2017, 2017 | 62 | 2017 |
| Generic feature learning for wireless capsule endoscopy analysis S Seguí, M Drozdzal, G Pascual, P Radeva, C Malagelada, F Azpiroz, ... Computers in biology and medicine 79, 163-172, 2016 | 58 | 2016 |
| Inverse cooking: Recipe generation from food images A Salvador, M Drozdzal, X Giro-i-Nieto, A Romero Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 42 | 2019 |
| Categorization and segmentation of intestinal content frames for wireless capsule endoscopy S Segui, M Drozdzal, F Vilarino, C Malagelada, F Azpiroz, P Radeva, ... IEEE Transactions on Information Technology in Biomedicine 16 (6), 1341-1352, 2012 | 37 | 2012 |
| Functional gut disorders or disordered gut function? Small bowel dysmotility evidenced by an original technique C Malagelada, F De Lorio, S Segui, S Mendez, M Drozdzal, J Vitria, ... Neurogastroenterology & Motility 24 (3), 223-e105, 2012 | 34 | 2012 |
| System and method for displaying motility events in an in vivo image stream M Drozdzal, SS MESQUIDA, P Radeva, J Vitria, L Igual-munoz, ... US Patent 9,514,556, 2016 | 30 | 2016 |
| fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ... Radiology: Artificial Intelligence 2 (1), e190007, 2020 | 28 | 2020 |
| Reducing uncertainty in undersampled mri reconstruction with active acquisition Z Zhang, A Romero, MJ Muckley, P Vincent, L Yang, M Drozdzal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 27 | 2019 |
| Classification of functional bowel disorders by objective physiological criteria based on endoluminal image analysis C Malagelada, M Drozdzal, S Seguí, S Mendez, J Vitrià, P Radeva, ... American Journal of Physiology-Gastrointestinal and Liver Physiology 309 (6 …, 2015 | 27 | 2015 |
| Adaptable image cuts for motility inspection using WCE M Drozdzal, S Seguí, J Vitrià, C Malagelada, F Azpiroz, P Radeva Computerized Medical Imaging and Graphics 37 (1), 72-80, 2013 | 23 | 2013 |
| On the iterative refinement of densely connected representation levels for semantic segmentation A Casanova, G Cucurull, M Drozdzal, A Romero, Y Bengio Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 17 | 2018 |
| Learnable explicit density for continuous latent space and variational inference CW Huang, A Touati, L Dinh, M Drozdzal, M Havaei, L Charlin, ... arXiv preprint arXiv:1710.02248, 2017 | 17 | 2017 |
| An Integrated Approach to Contextual Face Detection. S Segui, M Drozdzal, P Radeva, J Vitria | 16 | 2012 |
| Image segmentation by iterative inference from conditional score estimation A Romero, M Drozdzal, A Erraqabi, S Jégou, Y Bengio arXiv preprint arXiv:1705.07450, 2017 | 13 | 2017 |
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