Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration. - Po-Hsuan Cameron Chen; Krishna Gadepalli; Robert MacDonald; Yun Liu 013; Kunal Nagpal; Timo Kohlberger; Jeffrey Dean; Gregory S. Corrado; Jason D. Hipp; Martin C. Stumpe (CoRR, 2018)

Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection. - Timo Kohlberger; Yun Liu 013; Melissa Moran; Po-Hsuan Cameron Chen; Trissia Brown; Craig H. Mermel; Jason D. Hipp; Martin C. Stumpe (CoRR, 2019)

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction. - Wei-Hung Weng; Yuannan Cai; Angela Lin; Fraser Tan; Po-Hsuan Cameron Chen (CoRR, 2019)

Human-centric Metric for Accelerating Pathology Reports Annotation. - Ruibin Ma; Po-Hsuan Cameron Chen; Gang Li; Wei-Hung Weng; Angela Lin; Krishna Gadepalli; Yuannan Cai (CoRR, 2019)

Deep learning-based survival prediction for multiple cancer types using histopathology images. - Ellery Wulczyn; David F. Steiner; Zhaoyang Xu; Apaar Sadhwani; Hongwu Wang; Isabelle Flament; Craig H. Mermel; Po-Hsuan Cameron Chen; Yun Liu 013; Martin C. Stumpe (CoRR, 2019)

Reply: 'The importance of study design in the application of artificial intelligence methods in medicine'. - Kunal Nagpal; Yun Liu 013; Po-Hsuan Cameron Chen; Martin C. Stumpe; Craig H. Mermel (npj Digit. Medicine, 2019)

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. - Kunal Nagpal; Davis Foote; Yun Liu 013; Po-Hsuan Cameron Chen; Ellery Wulczyn; Fraser Tan; Niels Olson; Jenny L. Smith; Arash Mohtashamian; James H. Wren; Gregory S. Corrado; Robert MacDonald; et al. (npj Digit. Medicine, 2019)

Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. - Kunal Nagpal; Davis Foote; Yun Liu 013; Po-Hsuan Cameron Chen; Ellery Wulczyn; Fraser Tan; Niels Olson; Jenny L. Smith; Arash Mohtashamian; James H. Wren; Gregory S. Corrado; Robert MacDonald; et al. (npj Digit. Medicine, 2019)

Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases. - Zaid Nabulsi; Andrew Sellergren; Shahar Jamshy; Charles Lau; Eddie Santos; Atilla P. Kiraly; Wenxing Ye; Jie Yang; Sahar Kazemzadeh; Jin Yu; Raju Kalidindi; Mozziyar Etemadi; et al. (CoRR, 2020)

Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading. - Ellery Wulczyn; Kunal Nagpal; Matthew Symonds; Melissa Moran; Markus Plass; Robert Reihs; Farah Nader; Fraser Tan; Yuannan Cai; Trissia Brown; Isabelle Flament-Auvigne; Mahul B. Amin; et al. (CoRR, 2020)

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries. - Sahar Kazemzadeh; Jin Yu; Shahar Jamshy; Rory Pilgrim; Zaid Nabulsi; Christina Chen; Neeral Beladia; Charles Lau; Scott Mayer McKinney; Thad Hughes; Atilla P. Kiraly; Sreenivasa Raju Kalidindi; et al. (CoRR, 2021)

Interpretable survival prediction for colorectal cancer using deep learning. - Ellery Wulczyn; David F. Steiner; Melissa Moran; Markus Plass; Robert Reihs; Fraser Tan; Isabelle Flament-Auvigne; Trissia Brown; Peter Regitnig; Po-Hsuan Cameron Chen; Narayan Hegde; Apaar Sadhwani; et al. (npj Digit. Medicine, 2021)

Robust and Efficient Medical Imaging with Self-Supervision. - Shekoofeh Azizi; Laura Culp; Jan Freyberg; Basil Mustafa; Sebastien Baur; Simon Kornblith; Ting Chen 007; Patricia MacWilliams; S. Sara Mahdavi; Ellery Wulczyn; Boris Babenko; Megan Wilson; et al. (CoRR, 2022)

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. - Jeremy Lai; Faruk Ahmed; Supriya Vijay; Tiam Jaroensri; Jessica Loo; Saurabh Vyawahare; Saloni Agarwal; Fayaz Jamil; Yossi Matias; Gregory S. Corrado; Dale R. Webster; Jonathan Krause; et al. (CoRR, 2023)