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

Youngwon Choi

MDA Engineering (United States)

ORCID: 0000-0003-1120-6218
Computer ScienceMedicine

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: “Multi‐scale, domain knowledge‐guided attention + random forest: a two‐stage deep learning‐based multi‐scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images”.

Multi‐scale, domain knowledge‐guided attention + random forest: a two‐stage deep learning‐based multi‐scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images

Medical Physics(2022)10.1002/mp.16053
N/A
0.457DataRank · unranked
20 citations

Hua Zhou, Youngwon Choi, Jonathan Goldin, Pang-yu Teng, Weng Kee Wong +4 more

DeepBiome: a phylogenetic tree informed deep neural network for microbiome data analysis

Research Square(2020)10.21203/rs.3.rs-33860/v1
N/A
0DataRank · unranked
0 citations

Youngwon Choi, Yin Chen, Kenneth S. Knox, Homer L. Twigg, Joong‐Ho Won +3 more

Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF)

PubMed(2021)10.1109/isbi48211.2021.9433956
N/A
0DataRank · unranked
6 citations

Hua Zhou, Youngwon Choi, Jonathan Goldin, Grace Hyun J. Kim, Wenxi Yu