Immersive and Interactive Exploration of Billion-Atom Systems. - Ashish Sharma 001; Xinlian Liu; Paul Miller; Aiichiro Nakano; Rajiv K. Kalia; Priya Vashishta; Wei Zhao; Timothy Campbell; Andy Haas (VR, 2002)

Large multidimensional data visualization for materials science. - Ashish Sharma 001; Rajiv K. Kalia; Aiichiro Nakano; Priya Vashishta (Comput. Sci. Eng., 2003)

Immersive and Interactive Exploration of Billion-Atom Systems. - Ashish Sharma 001; Aiichiro Nakano; Rajiv K. Kalia; Priya Vashishta; Sanjay Kodiyalam; Paul Miller; Wei Zhao; Xinlian Liu; Timothy Campbell; Andy Haas (Presence Teleoperators Virtual Environ., 2003)

Scalable and portable visualization of large atomistic datasets. - Ashish Sharma 001; Rajiv K. Kalia; Aiichiro Nakano; Priya Vashishta (Comput. Phys. Commun., 2004)

Service-Based Access to and Processing of Large Scientific Datasets. - Ümit V. Çatalyürek; Sivaramakrishnan Narayanan; Olcay Sertel; Jun Kong 002; Berkant Barla Cambazoglu; Tony Pan; Ashish Sharma 001; Shannon Hastings; Stephen Langella; Scott Oster; Tahsin M. Kurç; Metin Nafi Gürcan; et al. (High Performance Computing Workshop, 2006)

Collision-free spatial hash functions for structural analysis of billion-vertex chemical bond networks. - Cheng Zhang; Bhupesh Bansal; Paulo S. Branicio; Rajiv K. Kalia; Aiichiro Nakano; Ashish Sharma 001; Priya Vashishta (Comput. Phys. Commun., 2006)

Intelligent Optimization of Parallel and Distributed Applications. - Bhupesh Bansal; Ümit V. Çatalyürek; Jacqueline Chame; Chun Chen 002; Ewa Deelman; Yolanda Gil; Mary W. Hall; Vijay S. Kumar; Tahsin M. Kurç; Kristina Lerman; Aiichiro Nakano; Yoon-Ju Lee Nelson; et al. (IPDPS, 2007)

GridIMAGE: A Novel Use of Grid Computing to Support Interactive Human and Computer-Assisted Detection Decision Support. - Metin N. Gurcan; Tony Pan; Ashish Sharma 001; Tahsin M. Kurç; Scott Oster; Stephen Langella; Shannon Hastings; Khan M. Siddiqui; Eliot L. Siegel; Joel H. Saltz (J. Digit. Imaging, 2007)

A Roadmap for caGrid, an Enterprise Grid Architecture for Biomedical Research. - Joel H. Saltz; Shannon Hastings; Stephen Langella; Scott Oster; Tahsin M. Kurç; Philip R. O. Payne; Renato Ferreira 001; Beth Plale; Carole A. Goble; David Ervin; Ashish Sharma 001; Tony Pan; et al. (HealthGrid, 2008)

Translational research design templates, Grid computing, and HPC. - Joel H. Saltz; Scott Oster; Shannon Hastings; Stephen Langella; Renato Ferreira 001; Justin Permar; Ashish Sharma 001; David Ervin; Tony Pan; Ümit V. Çatalyürek; Tahsin M. Kurç (IPDPS, 2008)

e-Science, caGrid, and Translational Biomedical Research. - Joel H. Saltz; Tahsin M. Kurç; Shannon Hastings; Stephen Langella; Scott Oster; David Ervin; Ashish Sharma 001; Tony Pan; Metin N. Gurcan; Justin Permar; Renato Ferreira 001; Philip R. O. Payne; et al. (Computer, 2008)

De Novo Ultrascale Atomistic Simulations On High-End Parallel Supercomputers. - Aiichiro Nakano; Rajiv K. Kalia; Ken-ichi Nomura; Ashish Sharma 001; Priya Vashishta; Fuyuki Shimojo; Adri C. T. van Duin; William A. Goddard III; Rupak Biswas; Deepak Srivastava; Lin H. Yang (Int. J. High Perform. Comput. Appl., 2008)

Model Formulation: Sharing Data and Analytical Resources Securely in a Biomedical Research Grid Environment. - Stephen Langella; Shannon Hastings; Scott Oster; Tony Pan; Ashish Sharma 001; Justin Permar; David Ervin; Berkant Barla Cambazoglu; Tahsin M. Kurç; Joel H. Saltz (J. Am. Medical Informatics Assoc., 2008)

An imaging workflow for characterizing phenotypical change in large histological mouse model datasets. - Kishore Mosaliganti; Tony Pan; Randall Ridgway; Richard Sharp; Lee Cooper 001; Alex Gulacy; Ashish Sharma 001; M. Okan Irfanoglu; Raghu Machiraju; Tahsin M. Kurç; Alain de Bruin; Pamela Wenzel; et al. (J. Biomed. Informatics, 2008)

HPC and Grid Computing for Integrative Biomedical Research. - Tahsin M. Kurç; Shannon Hastings; Vijay S. Kumar; Stephen Langella; Ashish Sharma 001; Tony Pan; Scott Oster; David Ervin; Justin Permar; Sivaramakrishnan Narayanan; Yolanda Gil; Ewa Deelman; et al. (Int. J. High Perform. Comput. Appl., 2009)

VirtualPACS - A Federating Gateway to Access Remote Image Data Resources over the Grid. - Ashish Sharma 001; Tony Pan; Berkant Barla Cambazoglu; Metin N. Gurcan; Tahsin M. Kurç; Joel H. Saltz (J. Digit. Imaging, 2009)

High-Performance Systems for in Silico Microscopy Imaging Studies. - Fusheng Wang 001; Tahsin M. Kurç; Patrick M. Widener; Tony Pan; Jun Kong 002; Lee Cooper 001; David A. Gutman; Ashish Sharma 001; Sharath R. Cholleti; Vijay Kumar (DILS, 2010)

Texture based image recognition in microscopy images of diffuse gliomas with multi-class gentle boosting mechanism. - Jun Kong 002; Lee Cooper 001; Ashish Sharma 001; Tahsin M. Kurç; Daniel J. Brat; Joel H. Saltz (ICASSP, 2010)

High Performance Computing Techniques for Scaling Image Analysis Workflows. - Patrick M. Widener; Tahsin M. Kurç; Wenjin Chen; Fusheng Wang 001; Lin Yang 002; Jun Hu; Vijay Kumar; Vicky Chu; Lee Cooper 001; Jun Kong 002; Ashish Sharma 001; Tony Pan; et al. (PARA (2), 2010)

An Integrative Approach for In Silico Glioma Research. - Lee A. D. Cooper; Jun Kong 002; David A. Gutman; Fusheng Wang 001; Sharath R. Cholleti; Tony C. Pan; Patrick M. Widener; Ashish Sharma 001; Tom Mikkelsen; Adam E. Flanders; Daniel L. Rubin; Erwin G. Van Meir; et al. (IEEE Trans. Biomed. Eng., 2010)

A new steerable pressure force for parametric deformable models. - Jun Kong 002; Lee Cooper 001; Ashish Sharma 001; Tahsin M. Kurç; Daniel J. Brat; Joel H. Saltz (Image Processing, 2011)

ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology. - David J. Foran; Lin Yang 002; Wenjin Chen; Jun Hu; Lauri A. Goodell; Michael Reiss; Fusheng Wang 001; Tahsin M. Kurç; Tony Pan; Ashish Sharma 001; Joel H. Saltz (J. Am. Medical Informatics Assoc., 2011)

Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes. - Jun Kong 002; Lee A. D. Cooper; Fusheng Wang 001; David A. Gutman; Jingjing Gao; Candace Chisolm; Ashish Sharma 001; Tony Pan; Erwin G. Van Meir; Tahsin M. Kurç; Carlos Sanchez Moreno; Joel H. Saltz; et al. (IEEE Trans. Biomed. Eng., 2011)

Integrated morphologic analysis for the identification and characterization of disease subtypes. - Lee A. D. Cooper; Jun Kong 002; David A. Gutman; Fusheng Wang 001; Jingjing Gao; Christina Appin; Sharath R. Cholleti; Tony Pan; Ashish Sharma 001; Lisa Scarpace; Tom Mikkelsen; Tahsin M. Kurç; et al. (J. Am. Medical Informatics Assoc., 2012)

Digital Pathology: Data-Intensive Frontier in Medical Imaging. - Lee A. D. Cooper; Alexis B. Carter; Alton B. Farris; Fusheng Wang 001; Jun Kong 002; David A. Gutman; Patrick M. Widener; Tony C. Pan; Sharath R. Cholleti; Ashish Sharma 001; Tahsin M. Kurç; Daniel J. Brat; et al. (Proc. IEEE, 2012)

Quantitative Imaging and Imaging Informatics in the Era of Precision Medicine. - Lee Cooper 001; Jayashree Kalpathy-Cramer; William Hsu; Ashish Sharma 001 (AMIA, 2016)

Data Café - A Platform For Creating Biomedical Data Lakes. - Pradeeban Kathiravelu; Ashish Sharma 001 (CRI, 2016)

Near Duplicate Detection for Medical Data Warehouse Construction. - Pradeeban Kathiravelu; Ashish Sharma 001 (CRI, 2016)

A Dynamic Data Warehousing Platform for Creating and Accessing Biomedical Data Lakes. - Pradeeban Kathiravelu; Ashish Sharma 001 (DMAH@VLDB, 2016)

20 Years of Digital Pathology - An Overview of the Road Travelled and What is on the Horizon. - Joel H. Saltz; Ashish Sharma 001; Alexis B. Carter; Liron Pantanowitz; Tahsin M. Kurç (AMIA, 2017)

On-Demand Service-Based Big Data Integration: Optimized for Research Collaboration. - Pradeeban Kathiravelu; Yiru Chen; Ashish Sharma 001; Helena Galhardas; Peter Van Roy; Luís Veiga (DMAH@VLDB, 2017)

DataScope - Enabling Scientific Mashups for Data Exploration, Hypothesis Generation, and Visual Analytics from Large Biomedical and Clinical Datasets. - Sapoonjyoti Duttaduwarah; Ganesh R. Iyer; Shamim Nemati; Ashish Sharma 001 (AMIA, 2018)

Systems Demonstration: Towards a Services Oriented Platform for Combined Radiology-Pathology Image Analysis and Interpretation. - Tahsin M. Kurç; Joel H. Saltz; Fred W. Prior; Ashish Sharma 001 (AMIA, 2018)

A FHIR-Enabled Streaming Sepsis Prediction System for ICUs. - Joel R. Henry; Dennis Lynch; Jeff Mals; Supreeth P. Shashikumar; Andre L. Holder; Ashish Sharma 001; Shamim Nemati (EMBC, 2018)

DataScope: Interactive visual exploratory dashboards for large multidimensional data. - Ganesh R. Iyer; Sapoonjyoti Duttaduwarah; Ashish Sharma 001 (PeerJ Prepr., 2018)

Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources. - Pradeeban Kathiravelu; Yusuf Nadir Saghar; Tushar Aggarwal; Ashish Sharma 001 (IEEE BigData, 2019)

From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer. - Tahsin M. Kurç; Ashish Sharma 001; Rajarsi Gupta 001; Le Hou; Han Le; Shahira Abousamra; Erich Bremer; Ryan Birmingham; Tammy Diprima; Nan Li; Feiqiao Wang; Joseph Balsamo; et al. (BrainLes@MICCAI (2), 2019)

Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. - Matthew A. Reyna; Christopher Josef; Salman Seyedi; Russell Jeter; Supreeth P. Shashikumar; M. Brandon Westover; Ashish Sharma 001; Shamim Nemati; Gari D. Clifford (CinC, 2019)

A Cloud-based Framework for Implementing Portable Machine Learning Pipelines for Neural Data Analysis. - Charles A. Ellis; Ping Gu; Mohammad S. Eslampanah Sendi; Daniel E. Huddleston; Ashish Sharma 001; Babak Mahmoudi (EMBC, 2019)

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer. - Han Le; Rajarsi R. Gupta; Le Hou; Shahira Abousamra; Danielle Fassler; Tahsin M. Kurç; Dimitris Samaras; Rebecca Batiste; Tianhao Zhao; Alison L. Van Dyke; Ashish Sharma 001; Erich Bremer; et al. (CoRR, 2019)

DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis. - Supreeth P. Shashikumar; Christopher Josef; Ashish Sharma 001; Shamim Nemati (CoRR, 2019)

On-demand big data integration - A hybrid ETL approach for reproducible scientific research. - Pradeeban Kathiravelu; Ashish Sharma 001; Helena Galhardas; Peter Van Roy; Luís Veiga (Distributed Parallel Databases, 2019)

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. - Matthew A. Reyna; Erick Andres Perez-Alday; Annie Gu; Chengyu Liu 001; Salman Seyedi; Ali Bahrami Rad; Andoni Elola; Qiao Li 011; Ashish Sharma 001; Gari D. Clifford (CinC, 2020)

AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production. - Fatemeh Amrollahi; Supreeth Prajwal Shashikumar; Pradeeban Kathiravelu; Ashish Sharma 001; Shamim Nemati (EMBC, 2020)

Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS. - Pradeeban Kathiravelu; Ashish Sharma 001; Saptarshi Purkayastha; Priyanshu Sinha; Alexandre Cadrin-Chenevert; Imon Banerjee; Judy Wawira Gichoya (CoRR, 2020)

AI in Medical Imaging Informatics: Current Challenges and Future Directions. - Andreas S. Panayides; Amir A. Amini; Nenad D. Filipovic; Ashish Sharma 001; Sotirios A. Tsaftaris; Alistair A. Young; David J. Foran; Nhan Do; Spyretta Golemati; Tahsin M. Kurç; Kun Huang 001; Konstantina S. Nikita; et al. (IEEE J. Biomed. Health Informatics, 2020)

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021. - Matthew A. Reyna; Nadi Sadr; Erick Andres Perez-Alday; Annie Gu; Amit J. Shah; Chad Robichaux; Ali Bahrami Rad; Andoni Elola; Salman Seyedi; Sardar Ansari; Hamid Ghanbari; Qiao Li 011; et al. (CinC, 2021)

Understanding Scanner Utilization With Real-Time DICOM Metadata Extraction. - Pradeeban Kathiravelu; Ashish Sharma 001; Puneet Sharma (IEEE Access, 2021)

TilGAN: GAN for Facilitating Tumor-Infiltrating Lymphocyte Pathology Image Synthesis With Improved Image Classification. - Monjoy Saha; Xiaoyuan Guo; Ashish Sharma 001 (IEEE Access, 2021)

DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis. - Supreeth P. Shashikumar; Christopher Josef; Ashish Sharma 001; Shamim Nemati (Artif. Intell. Medicine, 2021)

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. - Pradeeban Kathiravelu; Puneet Sharma; Ashish Sharma 001; Imon Banerjee; Hari Trivedi; Saptarshi Purkayastha; Priyanshu Sinha; Alexandre Cadrin-Chenevert; Nabile M. Safdar; Judy Wawira Gichoya (J. Digit. Imaging, 2021)

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. - Matthew A. Reyna; Yashar Kiarashi; Andoni Elola; Jorge Oliveira 002; Francesco Renna; Annie Gu; Erick Andres Perez-Alday; Nadi Sadr; Ashish Sharma 001; Sandra da Silva Mattos; Miguel T. Coimbra; Reza Sameni; et al. (CinC, 2022)

Visualizing Scanner Utilization From MRI Metadata and Clinical Data. - Pradeeban Kathiravelu; Nan Li; Nishchal Singi; Ananth Reddy Bhimireddy; Ryan Birmingham; Judy Wawira Gichoya; Hari Trivedi; Nabile M. Safdar; Ashish Sharma 001; Puneet Sharma (Computer, 2023)