Jong Chul Ye

Korea Advanced Institute of Science and Technology

EngineeringMedicineComputer Science

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 4 papers. Top paper: “Compressed sensing fMRI using gradient-recalled echo and EPI sequences”.

Compressed sensing fMRI using gradient-recalled echo and EPI sequences

UNC Libraries(2020)10.17615/v63e-mv22

N/A

0DataRank · unranked

3 citations

Seong‐Gi Kim, Xiaopeng Zong, Jong Chul Ye, Ju Young Lee, Alexander John Poplawsky

Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective

IEEE Signal Processing Magazine(2022)10.1109/msp.2021.3119273

N/A

0DataRank · unranked

79 citations

Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye, Mehmet Akçakaya

C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation

Medical Image Analysis(2023)10.1016/j.media.2023.103022

N/A

0DataRank · unranked

20 citations

Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye, Boah Kim

End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography

Endocrinology and Metabolism(2024)10.3803/enm.2023.1860

N/A

0DataRank · unranked

11 citations

B. Michelle Kim, Gyutaek Oh, Yul Hwangbo, Jong Chul Ye, Ji Eun Oh