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Rupanjali Chaudhuri
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2020 – today
- 2022
- [c6]Suman Pal, Monica Gaur, Rupanjali Chaudhuri, R. Kalaivanan, K. V. Chetan, B. H. Praneeth, Uttam Ramamurthy:
Driving Impact in Claims Denial Management Using Artificial Intelligence. ICACDS (1) 2022: 107-120 - [c5]Rupanjali Chaudhuri, Divya Nagpal, Abhinav Azad, Suman Pal:
WE-Net: An Ensemble Deep Learning Model for Covid-19 Detection in Chest X-ray Images Using Segmentation and Classification. ICACDS (2) 2022: 112-123 - [c4]Rupanjali Chaudhuri, Sai Phani Krishna Parsa, Divya Nagpal, Kalaivanan R:
Time to Response Prediction for Following up on Account Receivables in Healthcare Revenue Cycle Management. ICACDS (2) 2022: 124-137 - 2021
- [c3]Rupanjali Chaudhuri, Vadim Khotilovich, Monica Gaur, K. V. Chetan, Will Zimmerman:
Acute Myocardial Infarction Readmission Risk Prediction Model in Admit and Discharge patients. ICHI 2021: 214-218 - 2020
- [c2]Rohit Pardasani, Rupanjali Chaudhuri, Navchetan Awasthi
, Sheetal Chaurasia, Sushma Maya:
Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation. CinC 2020: 1-4 - [c1]Rohit Pardasani, Rupanjali Chaudhuri, Navchetan Awasthi
Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms. ICHI 2020: 1-11
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