🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Ramesh Batra

Fairfield University

ORCID: 0000-0003-2425-9028

Also affiliated with Yale New Haven Hospital, Johnson & Johnson (United States), Yale University

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 7 papers. Top paper: “Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver”.

Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver

European Radiology(2021)10.1007/s00330-020-07559-1
N/A
0DataRank · unranked
83 citations

Clinton J. Wang, Lynn Jeanette Savic, Charlie Alexander Hamm, Sophie Stark, Isabel Schobert +10 more

Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit

Scientific Reports(2021)10.1038/s41598-021-88226-3
N/A
0DataRank · unranked
31 citations

Jessie Huang, Egbert Castro, J. Kenneth Tay, Michael Simonov, Loren Laine +3 more

Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study

American Journal of Roentgenology(2022)10.2214/ajr.22.28077
N/A
0DataRank · unranked
27 citations

Tal Zeevi, Ahmet S. Kücükkaya, Rajiv Raju, Moritz Gross, Stefan P. Haider +12 more

Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

Scientific Reports(2023)10.1038/s41598-023-34439-7
N/A
0DataRank · unranked
23 citations

Tal Zeevi, Nathan Chai, Rajiv Raju, Stefan P. Haider, Mohamed Elbanan +13 more

Deep Learning Unlocks the True Potential of Organ Donation after Circulatory Death with Accurate Prediction of Time-to-Death

medRxiv(2024)10.1101/2024.11.07.24316924
N/A
0DataRank · unranked
0 citations

Edward De Brouwer, Chen Liu, Smita Krishnaswamy, Ramesh Batra, Xingzhi Sun

Noninvasive Tumor Profiling: Quantitative Contrast-enhanced MRI Markers Help Predict PD-L1 and CTNNB1 Status in Hepatocellular Carcinoma

Radiology(2025)10.1148/radiol.242750
N/A
0DataRank · unranked
7 citations

Rabea Sobirey, Margarita V. Revzin, Tal Zeevi, Moritz Gross, Victor Kasolowsky +15 more

Deep learning unlocks the true potential of organ donation after circulatory death with accurate prediction of time-to-death

Scientific Reports(2025)10.1038/s41598-025-95079-7
N/A
0DataRank · unranked
3 citations

Edward De Brouwer, Chen Liu, Smita Krishnaswamy, Ramesh Batra, Xingzhi Sun