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Nature Biomedical Engineering|April 20, 2019
Explainable machine-learning predictions for the prevention of hypoxaemia during surgeryScott M Lundberg, Bala Nair, Monica S Vavilala, et al.Frontiers in Genetics|January 12, 2019
Associations Between Genetic Data and Quantitative Assessment of Normal Facial AsymmetrySara Rolfe, Su-In Lee, Linda ShapiroNature Methods|August 7, 2023
Isolating salient variations of interest in single-cell data with contrastiveVIEthan Weinberger, Chris Lin, Su-In LeeNature Reviews Bioengineering|April 24, 2026
Transparency of medical artificial intelligence systemsChanwoo Kim, Soham U Gadgil, Su-In LeeProceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|July 14, 2015
Pathway Graphical LassoMaxim Grechkin, Maryam Fazel, Daniela Witten, et al.Medrxiv : the Preprint Server for Health Sciences|September 30, 2020
AI for radiographic COVID-19 detection selects shortcuts over signalAlex J DeGrave, Joseph D Janizek, Su-In LeeBioinformatics (Oxford, England)|December 31, 2020
Adversarial deconfounding autoencoder for learning robust gene expression embeddingsAyse B Dincer, Joseph D Janizek, Su-In LeeNAR Genomics and Bioinformatics|June 30, 2022
An automatic integrative method for learning interpretable communities of biological pathwaysNicasia Beebe-Wang, Ayse B Dincer, Su-In LeeJournal of Applied Microbiology|October 3, 2024
Genome analysis of Streptomyces recifensis SN1E1 to investigate mechanisms for inhibiting fire blight diseaseSu In Lee, Da-Ran Kim, Youn-Sig KwakThe Plant Pathology Journal|April 12, 2024
Genetic Variation of Monilinia fructicola Population in KoreaSu In Lee, Hwa-Jung Lee, Youn-Sig KwakPageof 10