Ashish Sharma
Affiliations:- Emory University, Atlanta, GA, USA
- The Ohio State University, Department of Biomedical Informatics, Columbus, OH, USA (former)
According to our database1,
Ashish Sharma
authored at least 52 papers
between 2002 and 2023.
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Bibliography
2023
Computer, August, 2023
2022
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022.
Proceedings of the Computing in Cardiology, 2022
2021
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images.
J. Digit. Imaging, 2021
DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis.
Artif. Intell. Medicine, 2021
TilGAN: GAN for Facilitating Tumor-Infiltrating Lymphocyte Pathology Image Synthesis With Improved Image Classification.
IEEE Access, 2021
IEEE Access, 2021
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS.
CoRR, 2020
AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020.
Proceedings of the Computing in Cardiology, 2020
2019
On-demand big data integration - A hybrid ETL approach for reproducible scientific research.
Distributed Parallel Databases, 2019
DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis.
CoRR, 2019
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer.
CoRR, 2019
A Cloud-based Framework for Implementing Portable Machine Learning Pipelines for Neural Data Analysis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019.
Proceedings of the 46th Computing in Cardiology, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
DataScope: Interactive visual exploratory dashboards for large multidimensional data.
PeerJ Prepr., 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Systems Demonstration: Towards a Services Oriented Platform for Combined Radiology-Pathology Image Analysis and Interpretation.
Proceedings of the AMIA 2018, 2018
DataScope - Enabling Scientific Mashups for Data Exploration, Hypothesis Generation, and Visual Analytics from Large Biomedical and Clinical Datasets.
Proceedings of the AMIA 2018, 2018
2017
Proceedings of the Data Management and Analytics for Medicine and Healthcare, 2017
20 Years of Digital Pathology - An Overview of the Road Travelled and What is on the Horizon.
Proceedings of the AMIA 2017, 2017
2016
A Dynamic Data Warehousing Platform for Creating and Accessing Biomedical Data Lakes.
Proceedings of the Data Management and Analytics for Medicine and Healthcare, 2016
Proceedings of the Summit on Clinical Research Informatics, 2016
Proceedings of the Summit on Clinical Research Informatics, 2016
2012
Integrated morphologic analysis for the identification and characterization of disease subtypes.
J. Am. Medical Informatics Assoc., 2012
2011
Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes.
IEEE Trans. Biomed. Eng., 2011
ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology.
J. Am. Medical Informatics Assoc., 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
2010
IEEE Trans. Biomed. Eng., 2010
Proceedings of the Applied Parallel and Scientific Computing, 2010
Texture based image recognition in microscopy images of diffuse gliomas with multi-class gentle boosting mechanism.
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the Data Integration in the Life Sciences, 7th International Conference, 2010
2009
VirtualPACS - A Federating Gateway to Access Remote Image Data Resources over the Grid.
J. Digit. Imaging, 2009
Int. J. High Perform. Comput. Appl., 2009
2008
An imaging workflow for characterizing phenotypical change in large histological mouse model datasets.
J. Biomed. Informatics, 2008
Model Formulation: Sharing Data and Analytical Resources Securely in a Biomedical Research Grid Environment.
J. Am. Medical Informatics Assoc., 2008
Int. J. High Perform. Comput. Appl., 2008
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008
Proceedings of the Global Healthgrid: e-Science Meets Biomedical Informatics, 2008
2007
GridIMAGE: A Novel Use of Grid Computing to Support Interactive Human and Computer-Assisted Detection Decision Support.
J. Digit. Imaging, 2007
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007
2006
Collision-free spatial hash functions for structural analysis of billion-vertex chemical bond networks.
Comput. Phys. Commun., 2006
Service-Based Access to and Processing of Large Scientific Datasets.
Proceedings of the High Performance Computing and Grids in Action, 2006
2004
Comput. Phys. Commun., 2004
2003
Presence Teleoperators Virtual Environ., 2003
Comput. Sci. Eng., 2003
2002
Proceedings of the IEEE Virtual Reality Conference 2002, 2002