Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation. - Rohit Pardasani; Rupanjali Chaudhuri; Navchetan Awasthi; Sheetal Chaurasia; Sushma Maya (CinC, 2020)

Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms. - Rohit Pardasani; Rupanjali Chaudhuri; Navchetan Awasthi; Mansi Goel (ICHI, 2020)

Acute Myocardial Infarction Readmission Risk Prediction Model in Admit and Discharge patients. - Rupanjali Chaudhuri; Vadim Khotilovich; Monica Gaur; K. V. Chetan; Will Zimmerman (ICHI, 2021)

WE-Net: An Ensemble Deep Learning Model for Covid-19 Detection in Chest X-ray Images Using Segmentation and Classification. - Rupanjali Chaudhuri; Divya Nagpal; Abhinav Azad; Suman Pal (ICACDS (2), 2022)

Time to Response Prediction for Following up on Account Receivables in Healthcare Revenue Cycle Management. - Rupanjali Chaudhuri; Sai Phani Krishna Parsa; Divya Nagpal; Kalaivanan R (ICACDS (2), 2022)

Driving Impact in Claims Denial Management Using Artificial Intelligence. - Suman Pal; Monica Gaur; Rupanjali Chaudhuri; R. Kalaivanan; K. V. Chetan; B. H. Praneeth; Uttam Ramamurthy (ICACDS (1), 2022)