Lin Cheng

Medicine

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

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

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

0DataRank · unranked

26 citations

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

Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction

American Journal of Tropical Medicine and Hygiene(2023)10.4269/ajtmh.22-0063

N/A

0DataRank · unranked

14 citations

Zehra Jamil, Lubaina Ehsan, Fatima Zulqarnain, Sanjana Srivastava, Saman Siddiqui +17 more