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

Hongyi Duanmu

Stony Brook University

ORCID: 0000-0002-5707-0515
Computer ScienceMedicineBiochemistry, Genetics and Molecular Biology

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 3 papers. Top paper: “Foveal blur-boosted segmentation of nuclei in histopathology images with shape prior knowledge and probability map constraints”.

Foveal blur-boosted segmentation of nuclei in histopathology images with shape prior knowledge and probability map constraints

Bioinformatics(2021)10.1093/bioinformatics/btab418
N/A
0DataRank · unranked
6 citations

Fusheng Wang, George Teodoro, Jun Kong, Hongyi Duanmu

A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images

Bioinformatics(2022)10.1093/bioinformatics/btac558
N/A
0DataRank · unranked
48 citations

Shristi Bhattarai, Hongxiao Li, Zhan Shi, Fusheng Wang, George Teodoro +7 more

Predicting neoadjuvant treatment response in triple-negative breast cancer using machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.17.536459
N/A
0DataRank · unranked
10 citations

Geetanjali Saini, Hongxiao Li, Hongyi Duanmu, Gaurav Seth, Timothy B. Fisher +5 more