Po-Hsuan Cameron Chen

Author

Google (United States)ORCID

Also Known As

Allan R, Chen, Po-Hsuan Cameron, David F. Steiner, Liu, Yun, Po-Hsuan Cameron Chen, Yun Liu

Publications

4.6K

Citations

H-Index

Concepts

All Affiliations

Google (United States)Tempus Labs (United States)Naval Medical Center San Diego Yale University Medical University of Graz

About

Po-Hsuan Cameron Chen is an author at Google (United States) specializing in engineering, medical image computing, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	988
2	Medicine	6	6	542
3	Health Sciences	3	3	257
4	Language Studies	1	1	26
5	Law	1	1	26

Po-Hsuan Cameron Chen

Publications

3.7K

Citations

H-Index

Page 1

	Year	Citations
How to Read Articles That Use Machine Learning Yun Liu, Po-Hsuan Cameron Chen, Jonathan Krause, JAMA	2019	496
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer Kunal Nagpal, Davis Foote, Yun Liu, npj Digital Medicine	2019	479
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Nature Medicine Machine VisionEngineeringMedical ImagingMicroscopyMicroscope Image Processing	2019	337
Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation Anna Majkowska, Sid Mittal, David F. Steiner, Radiology	2019	276
How to develop machine learning models for healthcare Po-Hsuan Cameron Chen, Yun Liu, Lily Peng Nature Materials Data ScienceMedical Expert SystemPredictive AnalyticsMachine Learning ModelsHealthcare Models	2019	271
Vulnerability of Antarctica’s ice shelves to meltwater-driven fracture Ching‐Yao Lai, Jonathan Kingslake, Martin Wearing, Nature Ice-water SystemEngineeringStructural GeologyGeographyCryosphere	2020	255
Deep learning-based survival prediction for multiple cancer types using histopathology images Ellery Wulczyn, David F. Steiner, Zhaoyang Xu, PLoS ONE	2020	250
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens Kunal Nagpal, Davis Foote, Fraser Elisabeth Tan, JAMA Oncology	2020	210
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging Shekoofeh Azizi, Laura Culp, Jan Freyberg, Nature Biomedical Engineering EngineeringMachine LearningMedical ImagingData SciencePattern Recognition	2023	208
Determining breast cancer biomarker status and associated morphological features using deep learning Paul Gamble, Ronnachai Jaroensri, Hongwu Wang, Communications Medicine	2021	138

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