Jonathan P. Epperlein

MedicineEngineeringMathematics

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 2 papers. Top paper: “Dynamic NIR Fluorescence Imaging and Machine Learning Framework for Stratifying High vs. Low Notch-Dll4 Expressing Host Microenvironment in Triple-Negative Breast Cancer”.

Dynamic NIR Fluorescence Imaging and Machine Learning Framework for Stratifying High vs. Low Notch-Dll4 Expressing Host Microenvironment in Triple-Negative Breast Cancer

Cancers(2023)10.3390/cancers15051460

N/A

0DataRank · unranked

6 citations

Jaidip Jagtap, Mykhaylo Zayats, Jonathan P. Epperlein, Anjishnu Banerjee, Aron M. Geurts +4 more

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Nature Communications(2025)10.1038/s41467-025-60466-1

N/A

0DataRank · unranked

11 citations

Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Micah Sheller +95 more