| 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 | 1723 | 2017 |
| The importance of skip connections in biomedical image segmentation M Drozdzal, E Vorontsov, G Chartrand, S Kadoury, C Pal International Workshop on Deep Learning in Medical Image Analysis …, 2016 | 1007 | 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 | 782 | 2017 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 559 | 2023 |
| 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 | 508 | 2018 |
| 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 | 270 | 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 | 230 | 2018 |
| 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 | 170 | 2020 |
| Inverse cooking: Recipe generation from food images A Salvador, M Drozdzal, X Giró-i-Nieto, A Romero Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 124 | 2019 |
| 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 | 93 | 2016 |
| 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 | 81 | 2019 |
| Deep learning and data labeling for medical applications M Drozdzal, E Vorontsov, G Chartrand, S Kadoury, C Pal LNCS 10008, 179-187, 2016 | 72 | 2016 |
| 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 | 54 | 2012 |
| Instance-conditioned gan A Casanova, M Careil, J Verbeek, M Drozdzal, A Romero Soriano Advances in Neural Information Processing Systems 34, 27517-27529, 2021 | 48 | 2021 |
| Active MR k-space Sampling with Reinforcement Learning L Pineda, S Basu, A Romero, R Calandra, M Drozdzal Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 43 | 2020 |
| 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 | 43 | 2016 |
| 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 | 39 | 2015 |
| 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 | 38 | 2012 |
| On the evaluation of conditional GANs T DeVries, A Romero, L Pineda, GW Taylor, M Drozdzal arXiv preprint arXiv:1907.08175, 2019 | 31 | 2019 |
| Instance selection for gans T DeVries, M Drozdzal, GW Taylor Advances in Neural Information Processing Systems 33, 13285-13296, 2020 | 30 | 2020 |
Adriana Romero-SorianoFundamental AI Research, Meta AIDirección de correo verificada de fb.com
