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

Pegah Khosravi

The Graduate Center, CUNY

ORCID: 0000-0003-3497-2820

Also affiliated with City University of New York, New York City College of Technology

MedicineComputer ScienceBiochemistry, 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 4 papers. Top paper: “A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study”.

A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study

The Lancet Digital Health(2022)10.1016/s2589-7500(22)00213-8

N/A

0.713DataRank · unranked

115 citations

Matthew Brendel, Vianne R. Gao, Suraj Rajendran, Junbum Kim, Qianzi Li +12 more

Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations

Radiology(2022)10.1148/radiol.210817

N/A

0.396DataRank · unranked

13 citations

Vivek Yadav, Julie Kim, Ye Rim Choi, David Gutman, Jonathan T. Yang +40 more

Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI

European Radiology(2023)10.1007/s00330-023-09583-3

N/A

0.165DataRank · unranked

2 citations

Vivek Yadav, Krishna Nand Keshava Murthy, Pierre Elnajjar, Hao-Hsin Shih, Prashanth Kumar Panyam +39 more

Deep learning predicts chromosomal instability from histopathology images

iScience(2021)10.1016/j.isci.2021.102394

N/A

0DataRank · unranked

45 citations

Akanksha Verma, Uska Naveed, Samuel F. Bakhoum, Pegah Khosravi, Olivier Elemento +1 more