| Graph attention networks V Peter, C Guillem, C Arantxa, R Adriana, L Pietro, B Yoshua Proceedings of the International Conference on Learning Representations …, 2017 | 16976* | 2017 |
| Fitnets: Hints for thin deep nets R Adriana, B Nicolas, KS Ebrahimi, C Antoine, G Carlo, B Yoshua Proc. ICLR, 2015 | 2039* | 2015 |
| The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation S Jégou, M Drozdzal, D Vazquez, A Romero, Y Bengio Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE …, 2017 | 1889 | 2017 |
| Theano: A Python framework for fast computation of mathematical expressions TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ... arXiv preprint arXiv:1605.02688, 2016 | 1099* | 2016 |
| Unsupervised deep feature extraction for remote sensing image classification A Romero, C Gatta, G Camps-Valls IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1349-1362, 2015 | 766 | 2015 |
| 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 | 654 | 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 | 391 | 2017 |
| ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation F Visin, M Ciccone, A Romero, K Kastner, K Cho, Y Bengio, M Matteucci, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 327 | 2016 |
| 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 | 253 | 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 | 247 | 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 | 144 | 2019 |
| Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest M Campos-Taberner, A Romero-Soriano, C Gatta, G Camps-Valls, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 122 | 2016 |
| BigBrain 3D atlas of cortical layers: cortical and laminar thickness gradients diverge in sensory and motor cortices K Wagstyl, S Larocque, G Cucurull, C Lepage, JP Cohen, S Bludau, ... PLOS Biology 18 (4), e3000678, 2020 | 115 | 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 | 111 | 2019 |
| GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects EJ Smith, S Fujimoto, A Romero, D Meger arXiv preprint arXiv:1901.11461, 2019 | 95 | 2019 |
| Instance-conditioned gan A Casanova, M Careil, J Verbeek, M Drozdzal, A Romero Soriano Advances in Neural Information Processing Systems 34, 27517-27529, 2021 | 87 | 2021 |
| Diet Networks: Thin Parameters for Fat Genomics A Romero, PL Carrier, A Erraqabi, T Sylvain, A Auvolat, E Dejoie, ... arXiv preprint arXiv:1611.09340, 2016 | 77 | 2016 |
| 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 | 59 | 2020 |
| Parameter prediction for unseen deep architectures B Knyazev, M Drozdzal, GW Taylor, A Romero Soriano Advances in Neural Information Processing Systems 34, 29433-29448, 2021 | 48 | 2021 |
| Meta-parameter free unsupervised sparse feature learning A Romero, P Radeva, C Gatta IEEE Transactions on Pattern Analysis & Machine Intelligence, 1-1, 2014 | 45* | 2014 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
