Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure. - Ankita Agarwal; Krishnaprasad Thirunarayan; William L. Romine; Amanuel Alambo; Mia Cajita; Tanvi Banerjee (EMBC, 2022)

Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization. - Amanuel Alambo; Tanvi Banerjee; Krishnaprasad Thirunarayan; Mia Cajita (EMBC, 2022)

Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. - Ankita Agarwal; Tanvi Banerjee; William L. Romine; Krishnaprasad Thirunarayan; Lingwei Chen; Mia Cajita (ICDH, 2023)

Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications. - Ankita Agarwal; Tanvi Banerjee; William L. Romine; Mia Cajita (IEEE Big Data, 2024)