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

Sen-ching S. Cheung

University of Kentucky

ORCID: 0000-0002-9207-5514
Computer 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 6 papers. Top paper: A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues.

A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2021)10.1109/embc46164.2021.9629715
N/A
0DataRank · unranked
21 citations

Chao Wang, Zin Hu, Brittany N. Dugger, Sen-ching S. Cheung, Chen‐Nee Chuah +1 more

15 citations

Sen-ching S. Cheung, Chen‐Nee Chuah, Sally Ozonoff, Dongjie Chen

16 citations

Luca Cerny Oliveira, Runlin Guo, Wenda Xu, Zin Hu, Kelsey Mifflin +5 more

0 citations

Sen-ching S. Cheung, Chen‐Nee Chuah, Dongjie Chen

0 citations

Chen‐Nee Chuah, Sally Ozonoff, Sen-ching S. Cheung, Halil Ismail Helvaci

0 citations

Kartik Patwari, Xiaoguang Zhu, Sen-ching S. Cheung, Brittany N. Dugger, Chen‐Nee Chuah +1 more