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Sasank Chilamkurthy
Sasank Chilamkurthy
Qure.ai
qure.ai의 이메일 확인됨 - 홈페이지
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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
328952019
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
6442018
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
1371912
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
1282018
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
1001912
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
832018
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
821912
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, ...
571912
A 2017 guide to semantic segmentation with deep learning
S Chilamkurthy
Available at blog. qure. ai/notes/semantic-segmentation-deep-learning-review …, 2017
282017
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
262019
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
162021
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
112015
Keras tutorial–traffic sign recognition
S Chilamkurthy
82017
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
22022
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
22019
Monitoring brain CT scan image
U Upadhyay, SK Golla, S Tanamala, S Chilamkurthy, P Putha
US Patent 11,501,437, 2022
12022
Deep learning and medical diagnosis–Authors' reply
S Chilamkurthy, S Tanamala
The Lancet 394 (10210), 1711, 2019
12019
Monitoring brain CT scan image
P Putha, S Chilamkurthy, SK Golla, S Tanamala, U Upadhyay
US Patent 11,636,596, 2023
2023
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