| Pytorch: An imperative style, high-performance deep learning library A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Advances in neural information processing systems 32, 2019 | 53899 | 2019 |
| Automatic differentiation in pytorch A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 14872 | 2017 |
| Advances in neural information processing systems A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Curran Associates, Inc 32, 8024-8035, 2019 | 2455 | 2019 |
| An image-based modeling framework for patient-specific computational hemodynamics L Antiga, M Piccinelli, L Botti, B Ene-Iordache, A Remuzzi, DA Steinman Medical & biological engineering & computing 46, 1097-1112, 2008 | 1040 | 2008 |
| Automatic differentiation in pytorch.(2017) A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 789 | 2017 |
| Geometry of the carotid bifurcation predicts its exposure to disturbed flow SW Lee, L Antiga, JD Spence, DA Steinman Stroke 39 (8), 2341-2347, 2008 | 444 | 2008 |
| A framework for geometric analysis of vascular structures: application to cerebral aneurysms M Piccinelli, A Veneziani, DA Steinman, A Remuzzi, L Antiga IEEE transactions on medical imaging 28 (8), 1141-1155, 2009 | 423 | 2009 |
| Safety and efficacy of long-acting somatostatin treatment in autosomal-dominant polycystic kidney disease P Ruggenenti, A Remuzzi, P Ondei, G Fasolini, L Antiga, B Ene-Iordache, ... Kidney international 68 (1), 206-216, 2005 | 354 | 2005 |
| Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools E Stevens, L Antiga, T Viehmann Manning, 2020 | 343 | 2020 |
| Effect of longacting somatostatin analogue on kidney and cyst growth in autosomal dominant polycystic kidney disease (ALADIN): a randomised, placebo-controlled, multicentre trial A Caroli, N Perico, A Perna, L Antiga, P Brambilla, A Pisani, B Visciano, ... The Lancet 382 (9903), 1485-1495, 2013 | 338 | 2013 |
| Pytorch: An imperative style, high-performance deep learning library. arXiv 2019 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703 10, 1912 | 324 | 1912 |
| Variation in the carotid bifurcation geometry of young versus older adults: implications for geometric risk of atherosclerosis JB Thomas, L Antiga, SL Che, JS Milner, DA Hangan Steinman, ... Stroke 36 (11), 2450-2456, 2005 | 321 | 2005 |
| Robust and objective decomposition and mapping of bifurcating vessels L Antiga, DA Steinman IEEE transactions on medical imaging 23 (6), 704-713, 2004 | 318 | 2004 |
| Correlations among indicators of disturbed flow at the normal carotid bifurcation SW Lee, L Antiga, DA Steinman | 310 | 2009 |
| Computational geometry for patient-specific reconstruction and meshing of blood vessels from MR and CT angiography L Antiga, B Ene-Iordache, A Remuzzi IEEE transactions on medical imaging 22 (5), 674-684, 2003 | 268 | 2003 |
| Avalanche: an end-to-end library for continual learning V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 224 | 2021 |
| Sirolimus therapy to halt the progression of ADPKD N Perico, L Antiga, A Caroli, P Ruggenenti, G Fasolini, M Cafaro, P Ondei, ... Journal of the American Society of Nephrology 21 (6), 1031-1040, 2010 | 217 | 2010 |
| Reducing polycystic liver volume in ADPKD: effects of somatostatin analogue octreotide A Caroli, L Antiga, M Cafaro, G Fasolini, A Remuzzi, G Remuzzi, ... Clinical Journal of the American Society of Nephrology 5 (5), 783-789, 2010 | 200 | 2010 |
| PyTorch: an imperative style A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... High-Performance Deep Learning Library 12, 2019 | 192 | 2019 |
| Inlet conditions for image-based CFD models of the carotid bifurcation: is it reasonable to assume fully developed flow? KR Moyle, L Antiga, DA Steinman | 189 | 2006 |
