Towards large-scale sharing of electronic health records of cancer patients. - Praveen R. Rao; Stanley A. Edlavitch; Jeffrey L. Hackman; Timothy P. Hickman; Douglas S. McNair; Deepthi S. Rao (IHI, 2010)

A software tool for large-scale sharing and querying of clinical documents modeled using HL7 version 3 standard. - Praveen R. Rao; Tivakar Komara Swami; Deepthi S. Rao; Michael J. Barnes; Swati G. Thorve; Prasad Natoo (IHI, 2012)

Jeev: A Low-Cost Cell Phone Application for Tracking the Vaccination Coverage of Children in Rural Communities. - Anas Katib; Deepthi S. Rao; Praveen R. Rao; Karen Williams (ICHI, 2013)

A new tool for sharing and querying of clinical documents modeled using HL7 Version 3 standard. - Vasil Slavov; Praveen R. Rao; Srivenu Paturi; Tivakar Komara Swami; Michael J. Barnes; Deepthi S. Rao; Raghuvarun Palvai (Comput. Methods Programs Biomed., 2013)

A prototype of a novel cell phone application for tracking the vaccination coverage of children in rural communities. - Anas Katib; Deepthi S. Rao; Praveen R. Rao; Karen Williams; Jim Grant (Comput. Methods Programs Biomed., 2015)

Scalable storage of whole slide images and fast retrieval of tiles using Apache Spark. - Daniel E. Lopez Barron; Dig Vijay Kumar Yarlagadda; Praveen Rao 001; Ossama Tawfik; Deepthi S. Rao (Digital Pathology, 2018)

A system for one-shot learning of cervical cancer cell classification in histopathology images. - Dig Vijay Kumar Yarlagadda; Praveen Rao 001; Deepthi S. Rao; Ossama Tawfik (Digital Pathology, 2019)

Deepfakes for Histopathology Images: Myth or Reality? - Nouf Alrasheed; Arun Zachariah; Shivika Prasanna; Deepthi S. Rao; Praveen Rao 001 (AIPR, 2020)

Accelerating Variant Calling on Human Genomes Using a Commodity Cluster. - Praveen Rao 001; Arun Zachariah; Deepthi S. Rao; Peter J. Tonellato; Wesley C. Warren; Eduardo J. Simões (CIKM, 2021)

Variant Analysis of Human Genome Sequences for COVID-19 Research. - Praveen Rao 001; Arun Zachariah; Deepthi S. Rao; Peter J. Tonellato; Wesley C. Warren; Eduardo J. Simões (IEEE DataPort, 2021)

Scalable Knowledge Graph Construction and Inference on Human Genome Variants. - Shivika Prasanna; Deepthi S. Rao; Eduardo Simoes; Praveen Rao 001 (CoRR, 2023)

A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning. - Shivika Prasanna; Ajay Kumar; Deepthi S. Rao; Eduardo Simoes; Praveen Rao 001 (CoRR, 2024)

A scalable tool for analyzing genomic variants of humans using knowledge graphs and graph machine learning. - Shivika Prasanna; Ajay Kumar; Deepthi S. Rao; Eduardo J. Simões; Praveen Rao 001 (Frontiers Big Data, 2024)

Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AI. - Polycarp Nalela; Deepthi S. Rao; Praveen Rao 001 (CoRR, 2025)