| 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 | 32895 | 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 | 644 | 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, 1912 | 137 | 1912 |
| 2D-3D fully convolutional neural networks for cardiac MR segmentation J Patravali, S Jain, S Chilamkurthy Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 128 | 2018 |
| Pytorch: An imperative style, high-performance deep learning library, 2019 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703, 1912 | 100 | 1912 |
| 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 | 83 | 2018 |
| PyTorch: An Imperative Style A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... High-performance deep learning library 12, 1912 | 82 | 1912 |
| PyTorch: An imperative style, high-performance deep learning library.(NeurIPS)(2019) A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... | 57 | 1912 |
| A 2017 guide to semantic segmentation with deep learning S Chilamkurthy Available at blog. qure. ai/notes/semantic-segmentation-deep-learning-review …, 2017 | 28 | 2017 |
| PyTorch: an imperative style, high-performance deep learning library. arXiv [cs. LG] A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703, 2019 | 26 | 2019 |
| 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 | 16 | 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, 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 | 11 | 2015 |
| Keras tutorial–traffic sign recognition S Chilamkurthy | 8 | 2017 |
| 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 | 3* | 2021 |
| 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 | 2 | 2022 |
| 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 |
| Monitoring brain CT scan image U Upadhyay, SK Golla, S Tanamala, S Chilamkurthy, P Putha US Patent 11,501,437, 2022 | 1 | 2022 |
| Deep learning and medical diagnosis–Authors' reply S Chilamkurthy, S Tanamala The Lancet 394 (10210), 1711, 2019 | 1 | 2019 |
| Monitoring brain CT scan image P Putha, S Chilamkurthy, SK Golla, S Tanamala, U Upadhyay US Patent 11,636,596, 2023 | | 2023 |
