23 citations · 24 across the 2 of their papers we have counts for
3 papers
A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images
Pradeeban Kathiravelu, Puneet Sharma, Ashish Sharma +7
Executing machine learning (ML) pipelines in real-time on radiology images is hard due to the limited computing resources in clinical environments and the lack of efficient data tr…
Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources
Pradeeban Kathiravelu, Yusuf Nadir Saghar, Tushar Aggarwal +1
The diversity of data management systems affords developers the luxury of building systems with heterogeneous systems that address needs that are unique to the data. It allows one…
On-Demand Big Data Integration: A Hybrid ETL Approach for Reproducible Scientific Research
Pradeeban Kathiravelu, Ashish Sharma, Helena Galhardas +2
Scientific research requires access, analysis, and sharing of data that is distributed across various heterogeneous data sources at the scale of the Internet. An eager ETL process…