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Career

· Researcher, SNAP Group, Stanford University2024–
· Instructor, Stanford University2020–

Publications (13)

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
PLoS Medicine · 2018
651
cited
AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining
Scientific Reports · 2020
107
cited
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
Neural Information Processing Systems · 2023
35
cited
An allelic-series rare-variant association test for candidate-gene discovery
bioRxiv · 2023
15
cited
Uncalibrated Reasoning: GRPO Induces Overconfidence for Stochastic Outcomes
arXiv.org · 2025
8
cited
An AI Approach to Automatic Natural Music Transcription
2017
1
cited
Convolutional neural networks of H&E-stained biopsy images accurately quantify histologic features of non-alcoholic steatohepatitis
Journal of Hepatology · 2020
1
cited
HistoGWAS: An AI-enabled Framework for Automated Genetic Analysis of Tissue Phenotypes in Histology Cohorts
1
cited
HistoGWAS: An AI Framework for Automated and Interpretable Genetic Analysis of Tissue Phenotypes
bioRxiv · 2024
1
cited
Machine learning encoding of liver biopsy images enables prediction of molecular measurements in a NASH F3/F4 fibrosis clinical cohort
Journal of Hepatology · 2022
1
cited
CRISPR perturbation in iPSC-derived hepatic stellate cells reveals role for TNF-driven interferon response in chronic liver disease
Journal of Hepatology · 2022
Machine learned histological fibrosis score empowers characterization of baseline gene signatures associated with fibrosis progression or regression in a NASH F3/F4 clinical trial
Journal of Hepatology · 2022
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Michael Bereket | Researcher Profile | Sotabase | Sotabase