| 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 | 1489 | 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 | 794 | 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 | 601 | 2017 |
| 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 | 362 | 2019 |
| 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 | 335 | 2018 |
| 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 | 214 | 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 | 151 | 2017 |
| 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 | 106 | 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 | 92 | 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 | 75 | 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 | 57 | 2019 |
| Proceedings of the IEEE conference on computer vision and pattern recognition workshops S Jégou, M Drozdzal, D Vazquez, A Romero, Y Bengio IEEE, 2017 | 53 | 2017 |
| 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 | 41 | 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 | 38 | 2016 |
| 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 | 36 | 2012 |
| 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 | 33 | 2015 |
| 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 | 28 | 2017 |
| Active MR k-space Sampling with Reinforcement Learning L Pineda, S Basu, A Romero, R Calandra, M Drozdzal International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 23 | 2020 |
| 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 |
| Instance selection for gans T DeVries, M Drozdzal, GW Taylor Advances in Neural Information Processing Systems 33, 13285-13296, 2020 | 22 | 2020 |
Adriana Romero-SorianoFacebook AI ResearchDirección de correo verificada de fb.com
