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2020 – today
- 2023
[i12]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, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, David F. Steiner:
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. CoRR abs/2310.13259 (2023)- 2022
- [i11]Shekoofeh Azizi
, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zachary Beaver, Fiona Ryan, Justin Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Gregory S. Corrado, Dale R. Webster, David J. Fleet, Geoffrey E. Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan:
Robust and Efficient Medical Imaging with Self-Supervision. CoRR abs/2205.09723 (2022) - 2021
- [j4]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, Robert MacDonald, Benny Ayalew, Gregory S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel:
Interpretable survival prediction for colorectal cancer using deep learning. npj Digit. Medicine 4 (2021) - [i10]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, Monde Muyoyeta, Jameson Malemela, Ting Shih, Gregory S. Corrado, Lily Peng, Katherine Chou, Po-Hsuan Cameron Chen, Yun Liu, Krish Eswaran, Daniel Tse, Shravya Shetty, Shruthi Prabhakara:
Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries. CoRR abs/2105.07540 (2021) - 2020
- [i9]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, Florencia Garcia Vicente, David S. Melnick, Gregory S. Corrado, Lily Peng, Krish Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty:
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases. CoRR abs/2010.11375 (2020) - [i8]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, Robert MacDonald, Benny Ayalew, Gregory S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel:
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning. CoRR abs/2011.08965 (2020) - [i7]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, Martin C. Stumpe, Heimo Müller, Peter Regitnig, Andreas Holzinger, Gregory S. Corrado, Lily H. Peng, Po-Hsuan Cameron Chen, David F. Steiner, Kurt Zatloukal, Yun Liu, Craig H. Mermel:
Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading. CoRR abs/2012.05197 (2020)
2010 – 2019
- 2019
- [j3]Kunal Nagpal, Yun Liu, Po-Hsuan Cameron Chen, Martin C. Stumpe, Craig H. Mermel:
Reply: 'The importance of study design in the application of artificial intelligence methods in medicine'. npj Digit. Medicine 2 (2019) - [j2]Kunal Nagpal, Davis Foote, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, Fraser Tan, Niels Olson, Jenny L. Smith, Arash Mohtashamian, James H. Wren, Gregory S. Corrado, Robert MacDonald, Lily H. Peng, Mahul B. Amin, Andrew J. Evans, Ankur R. Sangoi, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe:
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. npj Digit. Medicine 2 (2019) - [j1]Kunal Nagpal, Davis Foote, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, Fraser Tan, Niels Olson, Jenny L. Smith, Arash Mohtashamian, James H. Wren, Gregory S. Corrado, Robert MacDonald, Lily H. Peng, Mahul B. Amin, Andrew J. Evans, Ankur R. Sangoi, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe:
Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. npj Digit. Medicine 2 (2019) - [i6]Timo Kohlberger, Yun Liu, Melissa Moran, Po-Hsuan Cameron Chen, Trissia Brown, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe:
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection. CoRR abs/1901.04619 (2019) - [i5]Wei-Hung Weng, Yuannan Cai, Angela Lin, Fraser Tan, Po-Hsuan Cameron Chen:
Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction. CoRR abs/1909.07846 (2019) - [i4]Ruibin Ma, Po-Hsuan Cameron Chen, Gang Li, Wei-Hung Weng, Angela Lin, Krishna Gadepalli, Yuannan Cai:
Human-centric Metric for Accelerating Pathology Reports Annotation. CoRR abs/1911.01226 (2019) - [i3]Ellery Wulczyn, David F. Steiner, Zhaoyang Xu, Apaar Sadhwani, Hongwu Wang, Isabelle Flament, Craig H. Mermel, Po-Hsuan Cameron Chen, Yun Liu, Martin C. Stumpe:
Deep learning-based survival prediction for multiple cancer types using histopathology images. CoRR abs/1912.07354 (2019) - 2018
- [i2]Kunal Nagpal, Davis Foote, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, Fraser Tan, Niels Olson, Jenny L. Smith, Arash Mohtashamian, James H. Wren, Gregory S. Corrado, Robert MacDonald, Lily Peng, Mahul B. Amin, Andrew J. Evans, Ankur R. Sangoi, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe:
Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer. CoRR abs/1811.06497 (2018) - [i1]Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Gregory S. Corrado, Jason D. Hipp, Martin C. Stumpe:
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration. CoRR abs/1812.00825 (2018)
Coauthor Index
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