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

Nati Daniel

Nvidia (United Kingdom)

ORCID: 0000-0002-0939-3379
Computer ScienceMedicineImmunology and MicrobiologyBiochemistry, 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 3 papers. Top paper: Machine Learning Approach for Biopsy-Based Identification of Eosinophilic Esophagitis Reveals Importance of Global features.

4 citations

Nati Daniel, Mark Rochman, Julie M. Caldwell, G. A. Osswald, Margaret H. Collins +3 more

27 citations

Eliel Aknin, Nati Daniel, G. A. Osswald, Julie M. Caldwell, Mark Rochman +7 more

A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy Diagnostics

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871086
N/A
0DataRank · unranked
24 citations

Ariel Larey, Eliel Aknin, G. A. Osswald, Julie M. Caldwell, Mark Rochman +7 more