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

Kurt Teichman

Cornell University

ORCID: 0000-0002-5122-7067

Also affiliated with Weill Cornell Medicine

Biochemistry, Genetics and Molecular BiologyMedicine

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: “Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease”.

Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease

Tomography(2022)10.3390/tomography8040152

N/A

0DataRank · unranked

32 citations

Dominick Romano, Kurt Teichman, Hreedi Dev, Syed I. Raza, Akshay Goel +8 more

Test Retest Reproducibility of Organ Volume Measurements in ADPKD Using 3D Multimodality Deep Learning

Academic Radiology(2023)10.1016/j.acra.2023.09.009

N/A

0DataRank · unranked

18 citations

Zhongxiu Hu, Hreedi Dev, Dominick Romano, Arman Sharbatdaran, Syed I. Raza +10 more

Deep learning-based liver cyst segmentation in MRI for autosomal dominant polycystic kidney disease

Radiology Advances(2024)10.1093/radadv/umae014

N/A

0DataRank · unranked

4 citations

Mohit Aspal, Xinzi He, Dominick Romano, Arman Sharbatdaran, Zhongxiu Hu +13 more