Po-Hsuan Cameron Chen
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
K Nagpal, D Foote, Y Liu, PHC Chen, E Wulczyn, F Tan, N Olson, ...
NPJ digital medicine 2 (1), 1-10, 2019
How to read articles that use machine learning: Users’ Guides to the Medical Literature
Y Liu, PHC Chen, J Krause, L Peng
Jama 322 (18), 1806-1816, 2019
A Reduced-Dimension fMRI Shared Response Model
PH Chen, J Chen, Y Yeshurun, U Hasson, JV Haxby, PJ Ramadge
Neural Information Processing Systems (NIPS), 2015
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
PHC Chen, K Gadepalli, R MacDonald, Y Liu, K Nagpal, T Kohlberger, ...
Nature Medicine, 2019
Chest radiograph interpretation with deep learning models: Assessment with radiologist-adjudicated reference standards and population-adjusted evaluation
A Majkowska, S Mittal, DF Steiner, JJ Reicher, SM McKinney, GE Duggan, ...
Radiology 294 (2), 421-431, 2020
How to develop machine learning models for healthcare
PHC Chen, Y Liu, L Peng
Nature Materials 18 (5), 410, 2019
Deep learning-based survival prediction for multiple cancer types using histopathology images
E Wulczyn, DF Steiner, Z Xu, A Sadhwani, H Wang, I Flament-Auvigne, ...
PloS one 15 (6), e0233678, 2020
Mapping Between fMRI Responses to Movies and their Natural Language Annotations
K Vodrahalli, PH Chen, Y Liang, C Baldassano, J Chen, E Yong, C Honey, ...
NeuroImage, 2017
Vulnerability of Antarctica’s ice shelves to meltwater-driven fracture
CY Lai, J Kingslake, MG Wearing, PHC Chen, P Gentine, H Li, JJ Spergel, ...
Nature, 2020
Artificial intelligence in digital breast pathology: Techniques and applications
A Ibrahim, P Gamble, R Jaroensri, MM Abdelsamea, CH Mermel, ...
The Breast 49, 267-273, 2020
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens
K Nagpal, D Foote, F Tan, Y Liu, PHC Chen, DF Steiner, N Manoj, ...
JAMA Oncology, 2020
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection
T Kohlberger, Y Liu, M Moran, PHC Chen, T Brown, CH Mermel, JD Hipp, ...
Journal of Pathology Informatics 10 (1), 39, 2019
A convolutional autoencoder for multi-subject fMRI data aggregation
PH Chen, X Zhu, H Zhang, JS Turek, J Chen, TL Willke, U Hasson, ...
arXiv preprint arXiv:1608.04846, 2016
Joint SVD-Hyperalignment for multi-subject FMRI data alignment
PH Chen, JS Guntupalli, JV Haxby, PJ Ramadge
2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014
Transfer learning on fMRI datasets
H Zhang, PH Chen, P Ramadge
International Conference on Artificial Intelligence and Statistics, 595-603, 2018
A Semi-Supervised Method for Multi-subject fMRI Functional Alignment
JS Turek, TL Willke, PH Chen, PJ Ramadge
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017
Enabling factor analysis on thousand-subject neuroimaging datasets
MJ Anderson, M Capota, JS Turek, X Zhu, TL Willke, Y Wang, PH Chen, ...
2016 IEEE International Conference on Big Data (Big Data), 1151-1160, 2016
A searchlight factor model approach for locating shared information in multi-subject fMRI analysis
H Zhang, PH Chen, J Chen, X Zhu, JS Turek, TL Willke, U Hasson, ...
arXiv preprint arXiv:1609.09432, 2016
Current and future applications of artificial intelligence in pathology: a clinical perspective
EA Rakha, M Toss, S Shiino, P Gamble, R Jaroensri, CH Mermel, ...
Journal of clinical pathology 74 (7), 409-414, 2021
Interpretable survival prediction for colorectal cancer using deep learning
E Wulczyn, DF Steiner, M Moran, M Plass, R Reihs, F Tan, ...
npj Digital Medicine 4 (1), 1-13, 2021
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