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Suprim Nakarmi
Suprim Nakarmi
Verified email at coyotes.usd.edu
Title
Cited by
Cited by
Year
Active learning to minimize the risk from future epidemics
S Nakarmi, KC Santosh
2023 IEEE Conference on Artificial Intelligence (CAI), 329-330, 2023
112023
A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi
Healthcare 11 (17), 2388, 2023
92023
Active Learning to Minimize the Possible Risk of Future Epidemics
KC Santosh, S Nakarmi
Springer Nature, 2023
62023
Case Study# 3: Reading/Analyzing Chest X-rays
KC Santosh, S Nakarmi
Active Learning to Minimize the Possible Risk of Future Epidemics, 79-89, 2023
2023
Case Study# 2: Reading/Analyzing CT Scans
KC Santosh, S Nakarmi
Active Learning to Minimize the Possible Risk of Future Epidemics, 67-78, 2023
2023
Case Study# 1: Is My Cough Sound Covid-19?
KC Santosh, S Nakarmi
Active Learning to Minimize the Possible Risk of Future Epidemics, 55-66, 2023
2023
Summary and Take-Home Messages
KC Santosh, S Nakarmi
Active Learning to Minimize the Possible Risk of Future Epidemics, 91-96, 2023
2023
Active Learning—Validation
KC Santosh, S Nakarmi
Active Learning to Minimize the Possible Risk of Future Epidemics, 45-54, 2023
2023
Active Learning
KC Santosh, S Nakarmi
Active Learning to Minimize the Possible Risk of Future Epidemics, 19-30, 2023
2023
Active Learning—What, When, and Where to Deploy?
KC Santosh, S Nakarmi
Active Learning to Minimize the Possible Risk of Future Epidemics, 7-17, 2023
2023
Active Learning—Methodology
KC Santosh, S Nakarmi
Active Learning to Minimize the Possible Risk of Future Epidemics, 31-44, 2023
2023
Deep-learning assisted detection and quantification of (oo) cysts of Giardia and Cryptosporidium on smartphone microscopy images
S Nakarmi, S Pudasaini, S Thapaliya, P Upretee, R Shrestha, B Giri, ...
arXiv preprint arXiv:2304.05339, 2023
2023
Mentoring Deep Learning Models for Mass Screening With Limited Data
S Nakarmi
University of South Dakota, 2023
2023
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Articles 1–13