The Recovery System for Hadoop Cluster. - Priya Deshpande; Darshan Bora (DMS, 2014)

An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files. - Priya Deshpande; Alexander Rasin; Eli T. Brown; Jacob Furst 001; Daniela Raicu; Steven M. Montner; Samuel G. Armato III (MIH@KDD, 2017)

Augmenting Medical Decision Making With Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files. - Priya Deshpande; Alexander Rasin; Eli T. Brown; Jacob Furst 001; Steven M. Montner; Samuel G. Armato III; Daniela Stan Raicu (Int. J. Knowl. Discov. Bioinform., 2018)

Multimodal Ranked Search over Integrated Repository of Radiology Data Sources. - Priya Deshpande; Alexander Rasin; Fang Cao; Sriram Yarlagadda; Eli T. Brown; Jacob Furst 001; Daniela Stan Raicu (KDIR, 2019)

Biomedical Heterogeneous Data Integration and Rank Retrieval using Data Bridges. - Priya Deshpande (SIGIR, 2019)

Biomedical Data Categorization and Integration using Human-in-the-loop Approach. - Priya Deshpande (PhD@VLDB, 2019)

DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles. - Priya Deshpande; Alexander Rasin; Jacob Furst 001; Daniela Raicu; Sameer K. Antani (Data, 2019)

Enhancing Recall Using Data Cleaning for Biomedical Big Data. - Priya Deshpande; Alexander Rasin; Roselyne Tchoua; Jacob Furst 001; Daniela Raicu; Sameer K. Antani (CBMS, 2020)

Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. - Priya Deshpande; Alexander Rasin; Jun Son; Sungmin Kim; Eli T. Brown; Jacob Furst 001; Daniela Stan Raicu; Steven M. Montner; Samuel G. Armato (J. Digit. Imaging, 2020)

Analyzing and predicting NCAA volleyball match outcome using machine learning techniques. - Dhvanil Sanghvi; Priya Deshpande; Suhas Shanbhogue; Vishwa Shah (ICAI Workshops, 2021)

Impact and Analysis of Long COVID on Cardiovascular Diseases. - Daniel Chia; Priya Deshpande (IEEE Big Data, 2023)

Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models. - K. M. Sajjadul Islam; Ayesha Siddika Nipu; Praveen Madiraju; Priya Deshpande (IEEE Big Data, 2023)

Student success analysis for minority students in higher education. - Shamiha Binta Manir; Priya Deshpande (IEEE Big Data, 2023)

Leveraging OpenAI's Ada Embedding Model for Zero-Shot Classification at TREC 2023 Clinical Trials. - Luke Richmond; Priya Deshpande (TREC, 2023)

Advancements in M-Healthcare for the Detection and Management of Brain Metastases. - Omar Farghaly; Priya Deshpande (ANTS, 2024)

Towards Precision Diagnosis: Integrating Lexical Analysis and Deep Learning for Uncertainty Detection and Quantification in Clinical Reports. - Iftakhar Ali Khandokar; Omar Farghaly; Anai N. Kothari; Priya Deshpande (CBMS, 2024)

LLM-Based Text Prediction and Question Answer Models for Aphasia Speech. - Shamiha Binta Manir; K. M. Sajjadul Islam; Praveen Madiraju; Priya Deshpande (IEEE Access, 2024)

Biomedical heterogeneous data categorization and schema mapping toward data integration. - Priya Deshpande; Alexander Rasin; Roselyne Tchoua; Jacob D. Furst; Daniela Raicu; Michiel Schinkel; Hari Trivedi; Sameer K. Antani (Frontiers Big Data, 2024)

Fully convolutional neural network-based segmentation of brain metastases: a comprehensive approach for accurate detection and localization. - Omar Farghaly; Priya Deshpande (Neural Comput. Appl., 2024)

3D Anisotropic Asymmetric Pyramid (AAP-Net) Network Model for Brain Metastases Segmentation on Multi-Sequence MRI. - Omar Farghaly; Priya Deshpande (IEEE Access, 2025)

Computer Vision-Based Framework for Data Extraction From Heterogeneous Financial Tables: A Comprehensive Approach to Unlocking Financial Insights. - Iftakhar Ali Khandokar; Priya Deshpande (IEEE Access, 2025)

Fully generated mammogram patch dataset using CycleGAN with de-identification texture analysis. - Luke Richmond; Hari Trivedi; Priya Deshpande (Int. J. Data Sci. Anal., 2025)