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Researchers
Career
·
PhD in Computer Science
,
Stanford University
2023–
·
Participant
,
Stanford Machine Learning Group
2020–2021
·
Section Leader / Small Group Leader
,
Stanford University
2020–2021
·
BS in Computer Science
,
Stanford University
2018–2023
Publications
(11)
Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model
ML4H@NeurIPS · 2021
106
cited
GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022
36
cited
Motion Question Answering via Modular Motion Programs
International Conference on Machine Learning · 2023
24
cited
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
International Conference on Medical Imaging with Deep Learning · 2021
12
cited
A High-Throughput, Homogeneous Microplate Assay for Agents That Kill Mammalian Tissue Culture Cells
Journal of biomolecular screening · 2003
8
cited
An Automated System for Screening Retroviral Expression Constructs in Microplate Format
Journal of biomolecular screening · 2002
4
cited
Genetic Selection for Modulators of the MAP Kinase and β-Catenin Growth-Control Pathways in Mammalian Cells
Biochemical Genetics · 2002
3
cited
BioXtract: Learning Biomedical Knowledge From General and Random Data
2021
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Mark Endo | Researcher Profile | Sotabase | Sotabase