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ORCIDAshish Sharma 0001
Person information
- affiliation: Emory University, Atlanta, GA, USA
- affiliation (former): The Ohio State University, Department of Biomedical Informatics, Columbus, OH, USA
Other persons with the same name
- Ashish Sharma — disambiguation page
- Ashish Sharma 0002
![[0000-0002-6758-0519]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6758-0519")
— University of New South Wales, School of Civil and Environmental Engineering, Sydney, Australia - Ashish Sharma 0003 — GLA University, Department of Mathematics, Mathura, India
- Ashish Sharma 0004 — IIT Kharagpur, Department of Computer Science and Engineering, India
- Ashish Sharma 0005 — Malaviya National Institute of Technology, Jaipur, India
- Ashish Sharma 0006 — University of California Santa Barbara, CA, USA
- Ashish Sharma 0007 — National Institute of Technology Goa, Department of Electronics and Communication Engineering, Ponda, India
- Ashish Sharma 0008 — Manipal Institute of Technology Manipal Academy of Higher Education, Department of Electronics and Communication Engineering, Manipal, Karnataka, India
- Ashish Sharma 0009 — Intel Technology India Pvt. Ltd, Bangalore, India
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Journal Articles
- 2023
[j23]Pradeeban Kathiravelu, Nan Li, Nishchal Singi, Ananth Reddy Bhimireddy, Ryan Birmingham, Judy Wawira Gichoya, Hari Trivedi, Nabile M. Safdar, Ashish Sharma, Puneet Sharma:
Visualizing Scanner Utilization From MRI Metadata and Clinical Data. Computer 56(8): 68-76 (2023)- 2021
- [j22]Pradeeban Kathiravelu, Ashish Sharma, Puneet Sharma:
Understanding Scanner Utilization With Real-Time DICOM Metadata Extraction. IEEE Access 9: 10621-10633 (2021) - [j21]Monjoy Saha, Xiaoyuan Guo, Ashish Sharma:
TilGAN: GAN for Facilitating Tumor-Infiltrating Lymphocyte Pathology Image Synthesis With Improved Image Classification. IEEE Access 9: 79829-79840 (2021) - [j20]Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati:
DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis. Artif. Intell. Medicine 113: 102036 (2021) - [j19]Pradeeban Kathiravelu, Puneet Sharma, Ashish Sharma, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Nabile M. Safdar, Judy Wawira Gichoya:
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. J. Digit. Imaging 34(4): 1005-1013 (2021) - 2020
- [j18]Andreas S. Panayides, Amir A. Amini, Nenad D. Filipovic, Ashish Sharma, Sotirios A. Tsaftaris, Alistair A. Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin M. Kurç, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis E. Zervakis, Joel H. Saltz, Constantinos S. Pattichis:
AI in Medical Imaging Informatics: Current Challenges and Future Directions. IEEE J. Biomed. Health Informatics 24(7): 1837-1857 (2020) - 2019
- [j17]Pradeeban Kathiravelu, Ashish Sharma, Helena Galhardas, Peter Van Roy, Luís Veiga:
On-demand big data integration - A hybrid ETL approach for reproducible scientific research. Distributed Parallel Databases 37(2): 273-295 (2019) - 2012
- [j16]Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Jingjing Gao, Christina Appin, Sharath R. Cholleti, Tony Pan, Ashish Sharma, Lisa Scarpace, Tom Mikkelsen, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz:
Integrated morphologic analysis for the identification and characterization of disease subtypes. J. Am. Medical Informatics Assoc. 19(2): 317-323 (2012) - [j15]Lee A. D. Cooper, Alexis B. Carter, Alton B. Farris, Fusheng Wang, Jun Kong, David A. Gutman, Patrick M. Widener, Tony C. Pan, Sharath R. Cholleti, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
Digital Pathology: Data-Intensive Frontier in Medical Imaging. Proc. IEEE 100(4): 991-1003 (2012) - 2011
- [j14]David J. Foran, Lin Yang, Wenjin Chen, Jun Hu, Lauri A. Goodell, Michael Reiss, Fusheng Wang, Tahsin M. Kurç, Tony Pan, Ashish Sharma, Joel H. Saltz:
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. 18(4): 403-415 (2011) - [j13]Jun Kong, Lee A. D. Cooper, Fusheng Wang, David A. Gutman, Jingjing Gao, Candace Chisolm, Ashish Sharma, Tony Pan, Erwin G. Van Meir, Tahsin M. Kurç, Carlos Sanchez Moreno, Joel H. Saltz, Daniel J. Brat:
Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes. IEEE Trans. Biomed. Eng. 58(12): 3469-3474 (2011) - 2010
- [j12]Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Sharath R. Cholleti, Tony C. Pan, Patrick M. Widener, Ashish Sharma, Tom Mikkelsen, Adam E. Flanders, Daniel L. Rubin, Erwin G. Van Meir, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz:
An Integrative Approach for In Silico Glioma Research. IEEE Trans. Biomed. Eng. 57(10): 2617-2621 (2010) - 2009
- [j11]Tahsin M. Kurç, Shannon Hastings, Vijay S. Kumar, Stephen Langella, Ashish Sharma, Tony Pan, Scott Oster, David Ervin, Justin Permar, Sivaramakrishnan Narayanan, Yolanda Gil, Ewa Deelman, Mary W. Hall, Joel H. Saltz:
HPC and Grid Computing for Integrative Biomedical Research. Int. J. High Perform. Comput. Appl. 23(3): 252-264 (2009) - [j10]Ashish Sharma, Tony Pan, Berkant Barla Cambazoglu, Metin N. Gurcan, Tahsin M. Kurç, Joel H. Saltz:
VirtualPACS - A Federating Gateway to Access Remote Image Data Resources over the Grid. J. Digit. Imaging 22(1): 1-10 (2009) - 2008
- [j9]Joel H. Saltz, Tahsin M. Kurç, Shannon Hastings, Stephen Langella, Scott Oster, David Ervin, Ashish Sharma, Tony Pan, Metin N. Gurcan, Justin Permar, Renato Ferreira, Philip R. O. Payne, Ümit V. Çatalyürek, Enrico Caserta, Gustavo Leone, Michael C. Ostrowski, Ravi K. Madduri, Ian T. Foster, Subhasree Madhavan, Kenneth H. Buetow, Krishnakant Shanbhag, Eliot L. Siegel:
e-Science, caGrid, and Translational Biomedical Research. Computer 41(11): 58-66 (2008) - [j8]Aiichiro Nakano, Rajiv K. Kalia, Ken-ichi Nomura, Ashish Sharma, Priya Vashishta, Fuyuki Shimojo, Adri C. T. van Duin, William A. Goddard, Rupak Biswas, Deepak Srivastava, Lin H. Yang:
De Novo Ultrascale Atomistic Simulations On High-End Parallel Supercomputers. Int. J. High Perform. Comput. Appl. 22(1): 113-128 (2008) - [j7]Stephen Langella, Shannon Hastings, Scott Oster, Tony Pan, Ashish Sharma, Justin Permar, David Ervin, Berkant Barla Cambazoglu, Tahsin M. Kurç, Joel H. Saltz:
Model Formulation: Sharing Data and Analytical Resources Securely in a Biomedical Research Grid Environment. J. Am. Medical Informatics Assoc. 15(3): 363-373 (2008) - [j6]Kishore Mosaliganti, Tony Pan, Randall Ridgway, Richard Sharp, Lee Cooper, Alex Gulacy, Ashish Sharma, M. Okan Irfanoglu, Raghu Machiraju, Tahsin M. Kurç, Alain de Bruin, Pamela Wenzel, Gustavo Leone, Joel H. Saltz, Kun Huang:
An imaging workflow for characterizing phenotypical change in large histological mouse model datasets. J. Biomed. Informatics 41(6): 863-873 (2008) - 2007
- [j5]Metin N. Gurcan, Tony Pan, Ashish Sharma, Tahsin M. Kurç, Scott Oster, Stephen Langella, Shannon Hastings, Khan M. Siddiqui, Eliot L. Siegel, Joel H. Saltz:
GridIMAGE: A Novel Use of Grid Computing to Support Interactive Human and Computer-Assisted Detection Decision Support. J. Digit. Imaging 20(2): 160-171 (2007) - 2006
- [j4]Cheng Zhang, Bhupesh Bansal, Paulo S. Branicio, Rajiv K. Kalia, Aiichiro Nakano, Ashish Sharma, Priya Vashishta:
Collision-free spatial hash functions for structural analysis of billion-vertex chemical bond networks. Comput. Phys. Commun. 175(5): 339-347 (2006) - 2004
- [j3]Ashish Sharma, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta:
Scalable and portable visualization of large atomistic datasets. Comput. Phys. Commun. 163(1): 53-64 (2004) - 2003
- [j2]Ashish Sharma, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta:
Large multidimensional data visualization for materials science. Comput. Sci. Eng. 5(2): 26-33 (2003) - [j1]Ashish Sharma, Aiichiro Nakano, Rajiv K. Kalia, Priya Vashishta, Sanjay Kodiyalam, Paul Miller, Wei Zhao, Xinlian Liu, Timothy Campbell, Andy Haas:
Immersive and Interactive Exploration of Billion-Atom Systems. Presence Teleoperators Virtual Environ. 12(1): 85-95 (2003)
Conference and Workshop Papers
- 2022
- [c27]Matthew A. Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez-Alday, Nadi Sadr, Ashish Sharma, Sandra da Silva Mattos, Miguel T. Coimbra, Reza Sameni, Ali Bahrami Rad, Gari D. Clifford:
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. CinC 2022: 1-4 - 2021
- [c26]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, Ashish Sharma, Gari D. Clifford:
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021. CinC 2021: 1-4 - 2020
- [c25]Matthew A. Reyna, Erick Andres Perez-Alday, Annie Gu, Chengyu Liu, Salman Seyedi, Ali Bahrami Rad, Andoni Elola, Qiao Li, Ashish Sharma, Gari D. Clifford:
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. CinC 2020: 1-4 - [c24]Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Pradeeban Kathiravelu, Ashish Sharma, Shamim Nemati:
AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production. EMBC 2020: 5610-5614 - 2019
- [c23]Pradeeban Kathiravelu, Yusuf Nadir Saghar, Tushar Aggarwal, Ashish Sharma:
Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources. IEEE BigData 2019: 457-462 - [c22]Tahsin M. Kurç, Ashish Sharma, Rajarsi Gupta, Le Hou, Han Le, Shahira Abousamra, Erich Bremer, Ryan Birmingham, Tammy Diprima, Nan Li, Feiqiao Wang, Joseph Balsamo, Whitney Bremer, Dimitris Samaras, Joel H. Saltz:
From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer. BrainLes@MICCAI (2) 2019: 371-379 - [c21]Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford:
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. CinC 2019: 1-4 - [c20]Charles A. Ellis, Ping Gu, Mohammad S. Eslampanah Sendi, Daniel E. Huddleston, Ashish Sharma, Babak Mahmoudi:
A Cloud-based Framework for Implementing Portable Machine Learning Pipelines for Neural Data Analysis. EMBC 2019: 4466-4469 - 2018
- [c19]Sapoonjyoti Duttaduwarah, Ganesh R. Iyer, Shamim Nemati, Ashish Sharma:
DataScope - Enabling Scientific Mashups for Data Exploration, Hypothesis Generation, and Visual Analytics from Large Biomedical and Clinical Datasets. AMIA 2018 - [c18]Tahsin M. Kurç, Joel H. Saltz, Fred W. Prior, Ashish Sharma:
Systems Demonstration: Towards a Services Oriented Platform for Combined Radiology-Pathology Image Analysis and Interpretation. AMIA 2018 - [c17]Joel R. Henry, Dennis Lynch, Jeff Mals, Supreeth P. Shashikumar, Andre L. Holder, Ashish Sharma, Shamim Nemati:
A FHIR-Enabled Streaming Sepsis Prediction System for ICUs. EMBC 2018: 4093-4096 - 2017
- [c16]Joel H. Saltz, Ashish Sharma, Alexis B. Carter, Liron Pantanowitz, Tahsin M. Kurç:
20 Years of Digital Pathology - An Overview of the Road Travelled and What is on the Horizon. AMIA 2017 - [c15]Ganesh R. Iyer, Sapoonjyoti Duttaduwarah, Ashish Sharma:
DataScope: Interactive visual exploratory dashboards for large multidimensional data. VAHC 2017: 17-23 - [c14]Pradeeban Kathiravelu, Yiru Chen, Ashish Sharma, Helena Galhardas, Peter Van Roy, Luís Veiga:
On-Demand Service-Based Big Data Integration: Optimized for Research Collaboration. DMAH@VLDB 2017: 9-28 - 2016
- [c13]Lee Cooper, Jayashree Kalpathy-Cramer, William Hsu, Ashish Sharma:
Quantitative Imaging and Imaging Informatics in the Era of Precision Medicine. AMIA 2016 - [c12]Pradeeban Kathiravelu, Ashish Sharma:
Data Café - A Platform For Creating Biomedical Data Lakes. CRI 2016 - [c11]Pradeeban Kathiravelu, Ashish Sharma:
Near Duplicate Detection for Medical Data Warehouse Construction. CRI 2016 - [c10]Pradeeban Kathiravelu, Ashish Sharma:
A Dynamic Data Warehousing Platform for Creating and Accessing Biomedical Data Lakes. DMAH@VLDB 2016: 101-120 - 2011
- [c9]Jun Kong, Lee Cooper, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
A new steerable pressure force for parametric deformable models. Image Processing 2011: 79623N - 2010
- [c8]Fusheng Wang, Tahsin M. Kurç, Patrick M. Widener, Tony Pan, Jun Kong, Lee Cooper, David A. Gutman, Ashish Sharma, Sharath R. Cholleti, Vijay Kumar:
High-Performance Systems for in Silico Microscopy Imaging Studies. DILS 2010: 3-18 - [c7]Jun Kong, Lee Cooper, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
Texture based image recognition in microscopy images of diffuse gliomas with multi-class gentle boosting mechanism. ICASSP 2010: 457-460 - [c6]Patrick M. Widener, Tahsin M. Kurç, Wenjin Chen, Fusheng Wang, Lin Yang, Jun Hu, Vijay Kumar, Vicky Chu, Lee Cooper, Jun Kong, Ashish Sharma, Tony Pan, Joel H. Saltz, David J. Foran:
High Performance Computing Techniques for Scaling Image Analysis Workflows. PARA (2) 2010: 67-77 - 2008
- [c5]Joel H. Saltz, Shannon Hastings, Stephen Langella, Scott Oster, Tahsin M. Kurç, Philip R. O. Payne, Renato Ferreira, Beth Plale, Carole A. Goble, David Ervin, Ashish Sharma, Tony Pan, Justin Permar, Peter Brezany, Frank Siebenlist, Ravi K. Madduri, Ian T. Foster, Krishnakant Shanbhag, Charlie Mead, Neil P. Chue Hong:
A Roadmap for caGrid, an Enterprise Grid Architecture for Biomedical Research. HealthGrid 2008: 224-237 - [c4]Joel H. Saltz, Scott Oster, Shannon Hastings, Stephen Langella, Renato Ferreira, Justin Permar, Ashish Sharma, David Ervin, Tony Pan, Ümit V. Çatalyürek, Tahsin M. Kurç:
Translational research design templates, Grid computing, and HPC. IPDPS 2008: 1-15 - 2007
- [c3]Bhupesh Bansal, Ümit V. Çatalyürek, Jacqueline Chame, Chun Chen, Ewa Deelman, Yolanda Gil, Mary W. Hall, Vijay S. Kumar, Tahsin M. Kurç, Kristina Lerman, Aiichiro Nakano, Yoon-Ju Lee Nelson, Joel H. Saltz, Ashish Sharma, Priya Vashishta:
Intelligent Optimization of Parallel and Distributed Applications. IPDPS 2007: 1-6 - 2006
- [c2]Ümit V. Çatalyürek, Sivaramakrishnan Narayanan, Olcay Sertel, Jun Kong, Berkant Barla Cambazoglu, Tony Pan, Ashish Sharma, Shannon Hastings, Stephen Langella, Scott Oster, Tahsin M. Kurç, Metin Nafi Gürcan, Joel H. Saltz:
Service-Based Access to and Processing of Large Scientific Datasets. High Performance Computing Workshop 2006: 345-362 - 2002
- [c1]Ashish Sharma, Xinlian Liu, Paul Miller, Aiichiro Nakano, Rajiv K. Kalia, Priya Vashishta, Wei Zhao, Timothy Campbell, Andy Haas:
Immersive and Interactive Exploration of Billion-Atom Systems. VR 2002: 217-223
Informal and Other Publications
- 2020
- [i6]Pradeeban Kathiravelu, Ashish Sharma, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Imon Banerjee, Judy Wawira Gichoya:
Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS. CoRR abs/2004.07965 (2020) - 2019
- [i5]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, Erich Bremer, Jonas S. Almeida, Joel H. Saltz:
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer. CoRR abs/1905.10841 (2019) - [i4]Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati:
DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis. CoRR abs/1908.04759 (2019) - [i3]Pradeeban Kathiravelu, Yusuf Nadir Saghar, Tushar Aggarwal, Ashish Sharma:
Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources. CoRR abs/1912.08768 (2019) - 2018
- [i2]Pradeeban Kathiravelu, Ashish Sharma, Helena Galhardas, Peter Van Roy, Luís Veiga:
On-Demand Big Data Integration: A Hybrid ETL Approach for Reproducible Scientific Research. CoRR abs/1804.08985 (2018) - [i1]Ganesh R. Iyer, Sapoonjyoti Duttaduwarah, Ashish Sharma:
DataScope: Interactive visual exploratory dashboards for large multidimensional data. PeerJ Prepr. 6: e26441 (2018)
Coauthor Index
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