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个人简介
Currently, my focus is on developing new methods and richer tools for various applications in healthcare (e.g., imaging, time-series, text, etc.) at Nference, where I’m a Staff Scientist. Notably, I work on making ML models reliable for critical applications using Bayesian deep learning and uncertainty quantification, and also use generative modeling to develop methods that enhance clinical workflows.
研究兴趣
论文共 23 篇作者统计合作学者相似作者
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arXiv (Cornell University) (2023)
2023 IEEE/CVF International Conference on Computer Vision (ICCV) (2023): 1899-1910
arXiv (Cornell University) (2023)
Uddeshya Upadhyay,Sairam Bade,Arjun Puranik,Shahir Asfahan, Melwin Babu,Francisco Lopez-Jimenez,Samuel J. Asirvatham, Ashim Prasad,Ajit Rajasekharan,Samir Awasthi,Rakesh Barve
CoRR (2023)
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CoRR (2023)
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arXiv (Cornell University)pp.3697-3702, (2023)
Patrick Lenehan,Samir Awasthi, Shayan Ghosh, Hemant Singh,Yash Gupta,Uddeshya Upadhyay,Shahir Asfahan, Melwin Babu,Rakesh Barve,Francisco Lopez-Jimenez,Zachi I. Attia,Paul Friedman,
Heart Rhythmno. 9 (2023): e156
European Conference on Computer Vision (2022): 299-317
Aditya Aggarwal, Siddhartha Gairola,Uddeshya Upadhyay, Akshay P. Vasishta, Diwakar Rao, Aditya Goyal,Kaushik Murali, Nipun Kwatra,Mohit Jain
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