| Pytorch: An imperative style, high-performance deep learning library A Paszke arXiv preprint arXiv:1912.01703, 2019 | 56217 | 2019 |
| Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study S Chilamkurthy, R Ghosh, S Tanamala, M Biviji, NG Campeau, ... The Lancet 392 (10162), 2388-2396, 2018 | 923 | 2018 |
| 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 | 327 | 1912 |
| 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 | 193 | 2019 |
| 2D-3D fully convolutional neural networks for cardiac MR segmentation J Patravali, S Jain, S Chilamkurthy International workshop on statistical atlases and computational models of …, 2017 | 156 | 2017 |
| Development and validation of deep learning algorithms for detection of critical findings in head CT scans S Chilamkurthy, R Ghosh, S Tanamala, M Biviji, NG Campeau, ... arXiv preprint arXiv:1803.05854, 2018 | 125 | 2018 |
| Advances in Neural Information Processing Systems 32 ed H A Paszke, S Gross, F Massa Wallach et al 8024, 2019 | 66 | 2019 |
| An imperative style, high-performance deep learning library A Paszke, S Gross, F Massa, A Lerer, JP Bradbury, G Chanan, T Killeen, ... Adv. Neural Inf. Process. Syst 32, 8026, 1912 | 41 | 1912 |
| Pytorch: an imperative style, high-performance deep learning library. CoRR abs/1912.01703 (2019) A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703, 1912 | 41 | 1912 |
| A 2017 guide to semantic segmentation with deep learning S Chilamkurthy Available at blog. qure. ai/notes/semantic-segmentation-deep-learning-review …, 2017 | 40 | 2017 |
| SkullBreak/SkullFix–Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks O Kodym, J Li, A Pepe, C Gsaxner, S Chilamkurthy, J Egger, M Španěl Data in Brief 35, 106902, 2021 | 31 | 2021 |
| Development and validation of deep learning algorithms for detection of critical findings in head CT scans. arXiv 2018 S Chilamkurthy, R Ghosh, S Tanamala, M Biviji, NG Campeau, ... arXiv preprint arXiv:1803.05854, 1803 | 21 | 1803 |
| & Chintala, S.(2019) A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Pytorch: An imperative style, high-performance deep learning library …, 0 | 13 | |
| Parameter estimation of linear and quadratic chirps by employing the fractional Fourier transform and a generalized time frequency transform SB Sahay, T Meghasyam, RK Roy, G Pooniwala, S Chilamkurthy, ... Sadhana 40, 1049-1075, 2015 | 12 | 2015 |
| Automated lateral ventricular and cranial vault volume measurements in 13,851 patients using deep learning algorithms GA Maragkos, AS Filippidis, S Chilamkurthy, MM Salem, S Tanamala, ... World Neurosurgery 148, e363-e373, 2021 | 10 | 2021 |
| Keras tutorial–traffic sign recognition S Chilamkurthy | 7 | 2017 |
| Deep-aspects: A segmentation-assisted model for stroke severity measurement U Upadhyay, M Ranjan, S Golla, S Tanamala, P Sreenivas, ... European Conference on Computer Vision, 330-339, 2022 | 5 | 2022 |
| Mind the Clot: Automated LVO Detection on CTA Using Deep Learning S Kumar, A Agarwal, S Golla, S Tanamala, U Upadhyay, S Chattoraj, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| PyTorch: An Imperative Style, High-Performance Deep Learning Library. arXiv e-prints: p A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703, 2019 | 3 | 2019 |
| Morphology of the brain: changes in ventricular and cranial vault volumes in 15000 subjects with aging and hydrocephalus S Chilamkurthy, P Rao, G Maragkos, A Thomas Qure. ai, Beth Israel Deaconess Medical Center March 11, 2019 | 2 | 2019 |