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

Rasoul Sali

University of Fort Lauderdale

ORCID: 0000-0003-3995-0735
Computer ScienceMedicine

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 7 papers. Top paper: “Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy”.

Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy

Scientific Reports(2021)10.1038/s41598-021-84510-4
N/A
0.494DataRank · unranked
26 citations

Tilak Shah, J. Vincent Pulido, Matthew Fasullo, Lubaina Ehsan, Robert Lippman +6 more

Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images

arXiv (Cornell University)(2020)10.1109/ichi48887.2020.9374332
N/A
0.165DataRank · unranked
2 citations

Sodiq Adewole, Lubaina Ehsan, Lee A. Denson, Paul Kelly, Beatrice Amadi +6 more

Artificial Intelligence-Based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection

medRxiv(2020)10.1101/2020.08.06.20159152
N/A
0DataRank · unranked
3 citations

Lubaina Ehsan, Aman Shrivastava, Saurav Sengupta, Marium Khan, Kamran Kowsari +14 more

HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach

Information(2020)10.3390/info11060318
N/A
0DataRank · unranked
65 citations

Rasoul Sali, Lubaina Ehsan, William Adorno, Asad Ali, Sean R. Moore +5 more

Prediction of Celiac Disease Severity and Associated Endocrine Morbidities through Deep Learning-based Image Analytics

medRxiv(2021)10.1101/2021.01.20.21250194
N/A
0DataRank · unranked
0 citations

Marium Khan, Rasoul Sali, Alexis Catalano, William Adorno, Kamran Kowsari +10 more

Morphological diversity of cancer cells predicts prognosis across tumor types

JNCI Journal of the National Cancer Institute(2023)10.1093/jnci/djad243
N/A
0DataRank · unranked
14 citations

Yuming Jiang, Armin Attaranzadeh, Brittany Holmes, Ruijiang Li, Rasoul Sali

Single-Cell Heterogeneity-Aware Transformer-Guided Multiple Instance Learning for Cancer Aneuploidy Prediction From Whole Slide Histopathology Images

IEEE Journal of Biomedical and Health Informatics(2023)10.1109/jbhi.2023.3262454
N/A
0DataRank · unranked
12 citations

Xi Wang, Rasoul Sali, Ruijiang Li, Feiyang Yu