Yuan Liu (Y Liu, Yun Liu)

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 41

Top Venues

Communications medicine

Radiology. Artificial intelligence

Nature biomedical engineering

PLOS global public health

Massachusetts Institute of Technology (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

Massachusetts Institute of Technology

United States

PHD :: Harvard-MIT Health Sciences and Technology

Publications

Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y McLean, Yossi Matias, Greg S Corrado, Shravya Shetty, Shruthi Prabhakara, Yuan Liu, Goodarz Danaei, Diego Ardila
Predicting cardiovascular disease risk using photoplethysmography and deep learning. PLOS global public health 4 (6) (2024)
Atilla P Kiraly, Corbin A Cunningham, Ryan Najafi, Zaid Nabulsi, Jie Yang, Charles Lau, Joseph R Ledsam, Wenxing Ye, Diego Ardila, Scott Mayer McKinney, Rory Pilgrim, Yuan Liu, Hiroaki Saito, Yasuteru Shimamura, Mozziyar Etemadi, David Melnick, Sunny Jansen, Greg S Corrado, Lily Peng, Daniel Tse, Shravya Shetty, Shruthi Prabhakara, David P Nadich, Neeral Beladia, Krish Eswaran
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan. Radiology. Artificial intelligence 6 (3) (2024)
Atilla P Kiraly, Corbin A Cunningham, Ryan Najafi, Zaid Nabulsi, Jie Yang, Charles Lau, Joseph R Ledsam, Wenxing Ye, Diego Ardila, Scott Mayer McKinney, Rory Pilgrim, Yuan Liu, Hiroaki Saito, Yasuteru Shimamura, Mozziyar Etemadi, David Melnick, Sunny Jansen, Greg S Corrado, Lily Peng, Daniel Tse, Shravya Shetty, Shruthi Prabhakara, David P Naidich, Neeral Beladia, Krish Eswaran
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan. Radiology. Artificial intelligence (2024)
Atilla P Kiraly, Corbin A Cunningham, Ryan Najafi, Zaid Nabulsi, Jie Yang, Charles Lau, Joseph R Ledsam, Wenxing Ye, Diego Ardila, Scott Mayer McKinney, Rory Pilgrim, Yuan Liu, Hiroaki Saito, Yasuteru Shimamura, Mozziyar Etemadi, David Melnick, Sunny Jansen, Greg S Corrado, Lily Peng, Daniel Tse, Shravya Shetty, Shruthi Prabhakara, David P Naidich, Neeral Beladia, Krish Eswaran
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan. Radiology. Artificial intelligence 6 (3) (2024)
Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y McLean, Yossi Matias, Greg S Corrado, Shravya Shetty, Shruthi Prabhakara, Yuan Liu, Goodarz Danaei, Diego Ardila
Predicting cardiovascular disease risk using photoplethysmography and deep learning. PLOS global public health 4 (6) (2024)
Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y McLean, Yossi Matias, Greg S Corrado, Shravya Shetty, Shruthi Prabhakara, Yuan Liu, Goodarz Danaei, Diego Ardila
Predicting cardiovascular disease risk using photoplethysmography and deep learning. PLOS global public health 4 (6) (2024)
Atilla P Kiraly, Corbin A Cunningham, Ryan Najafi, Zaid Nabulsi, Jie Yang, Charles Lau, Joseph R Ledsam, Wenxing Ye, Diego Ardila, Scott Mayer McKinney, Rory Pilgrim, Yuan Liu, Hiroaki Saito, Yasuteru Shimamura, Mozziyar Etemadi, David Melnick, Sunny Jansen, Greg S Corrado, Lily Peng, Daniel Tse, Shravya Shetty, Shruthi Prabhakara, David P Nadich, Neeral Beladia, Krish Eswaran
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan. Radiology. Artificial intelligence 6 (3) (2024)
Atilla P Kiraly, Corbin A Cunningham, Ryan Najafi, Zaid Nabulsi, Jie Yang, Charles Lau, Joseph R Ledsam, Wenxing Ye, Diego Ardila, Scott Mayer McKinney, Rory Pilgrim, Yuan Liu, Hiroaki Saito, Yasuteru Shimamura, Mozziyar Etemadi, David Melnick, Sunny Jansen, Greg S Corrado, Lily Peng, Daniel Tse, Shravya Shetty, Shruthi Prabhakara, David P Nadich, Neeral Beladia, Krish Eswaran
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan. Radiology. Artificial intelligence 6 (3) (2024)
Atilla P Kiraly, Corbin A Cunningham, Ryan Najafi, Zaid Nabulsi, Jie Yang, Charles Lau, Joseph R Ledsam, Wenxing Ye, Diego Ardila, Scott Mayer McKinney, Rory Pilgrim, Yuan Liu, Hiroaki Saito, Yasuteru Shimamura, Mozziyar Etemadi, David Melnick, Sunny Jansen, Greg S Corrado, Lily Peng, Daniel Tse, Shravya Shetty, Shruthi Prabhakara, David P Nadich, Neeral Beladia, Krish Eswaran
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan. Radiology. Artificial intelligence 6 (3) (2024)
Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Nenad Tomasev, Jovana Mitrović, Patricia Strachan, S Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Walker, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zach Beaver, Fiona Ryan, Justin D Krogue, Mozziyar Etemadi, Umesh Telang, Yuan Liu, Lily Peng, Greg S Corrado, Dale R Webster, David Fleet, Geoffrey Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging. Nature biomedical engineering (2023)
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S Corrado, Lily H Peng, Craig H Mermel, Yuan Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F Steiner, Ellery Wulczyn
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. Communications medicine 3 (1) (2023)
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Christopher J Kelly, Abubakr Babiker, Nathanael Schärli, Aakanksha Chowdhery, Philip Mansfield, Dina Demner-Fushman, Blaise Agüera Y Arcas, Dale R Webster, Greg S Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomašev, Yuan Liu, Alvin Rajkomar, Joelle Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan
Large language models encode clinical knowledge. Nature (2023)
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S Corrado, Lily H Peng, Craig H Mermel, Yuan Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F Steiner, Ellery Wulczyn
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. Communications medicine 3 (1) (2023)
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S Corrado, Lily H Peng, Craig H Mermel, Yuan Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F Steiner, Ellery Wulczyn
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. Communications medicine 3 (1) (2023)
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S Corrado, Lily H Peng, Craig H Mermel, Yuan Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F Steiner, Ellery Wulczyn
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. Communications medicine 3 (1) (2023)
Kasumi Widner, Sunny Virmani, Jonathan Krause, Jay Nayar, Richa Tiwari, Elin Rønby Pedersen, Divleen Jeji, Naama Hammel, Yossi Matias, Greg S Corrado, Yuan Liu, Lily Peng, Dale R Webster
Lessons learned from translating AI from development to deployment in healthcare. Nature medicine (2023)
Kristina Gligorić, Chaitanya Kamath, Daniel J Weiss, Shailesh Bavadekar, Yuan Liu, Tomer Shekel, Kevin Schulman, Evgeniy Gabrilovich
Revealed versus potential spatial accessibility of healthcare and changing patterns during the COVID-19 pandemic. Communications medicine 3 (1) (2023)
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S Corrado, Lily H Peng, Craig H Mermel, Yuan Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F Steiner, Ellery Wulczyn
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. Communications medicine 3 (1) (2023)
Oran Lang, Ilana Traynis, Yuan Liu
Explaining counterfactual images. Nature biomedical engineering (2023)
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Christopher J Kelly, Abubakr Babiker, Nathanael Schärli, Aakanksha Chowdhery, Philip Mansfield, Dina Demner-Fushman, Blaise Agüera Y Arcas, Dale R Webster, Greg S Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomašev, Yuan Liu, Alvin Rajkomar, Joelle Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan
Publisher Correction: Large language models encode clinical knowledge. Nature (2023)
Andrew B Sellergren, Christina Chen, Zaid Nabulsi, Yuanzhen Li, Aaron Maschinot, Aaron Sarna, Jenny Huang, Charles Lau, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia-Vicente, David Melnick, Yuan Liu, Krish Eswaran, Daniel Tse, Neeral Beladia, Dilip Krishnan, Shravya Shetty
Simplified Transfer Learning for Chest Radiography Models Using Less Data. Radiology 305 (2) (2022)
Ronnachai Jaroensri, Ellery Wulczyn, Narayan Hegde, Trissia Brown, Isabelle Flament-Auvigne, Fraser Tan, Yuannan Cai, Kunal Nagpal, Emad A Rakha, David J Dabbs, Niels Olson, James H Wren, Elaine E Thompson, Erik Seetao, Carrie Robinson, Melissa Miao, Fabien Beckers, Greg S Corrado, Lily H Peng, Craig H Mermel, Yuan Liu, David F Steiner, Po-Hsuan Cameron Chen
Deep learning models for histologic grading of breast cancer and association with disease prognosis. NPJ breast cancer 8 (1) (2022)
Sean Bae, Silviu Borac, Yunus Emre, Jonathan Wang, Jiang Wu, Mehr Kashyap, Si-Hyuck Kang, Liwen Chen, Melissa Moran, Julie Cannon, Eric S Teasley, Allen Chai, Yuan Liu, Neal Wadhwa, Michael Krainin, Michael Rubinstein, Alejandra Maciel, Michael V McConnell, Shwetak Patel, Greg S Corrado, James A Taylor, Jiening Zhan, Ming Jack Po
Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms. Communications medicine 2 (2022)
Boris Babenko, Akinori Mitani, Ilana Traynis, Naho Kitade, Preeti Singh, April Y Maa, Jorge Cuadros, Greg S Corrado, Lily Peng, Dale R Webster, Avinash Varadarajan, Naama Hammel, Yuan Liu
Detection of signs of disease in external photographs of the eyes via deep learning. Nature biomedical engineering (2022)
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, Greg S Corrado, Lily Peng, Katherine Chou, Po-Hsuan Cameron Chen, Yuan Liu, Krish Eswaran, Daniel Tse, Shravya Shetty, Shruthi Prabhakara
Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists. Radiology (2022)
Paul Gamble, Ronnachai Jaroensri, Hongwu Wang, Fraser Tan, Melissa Moran, Trissia Brown, Isabelle Flament-Auvigne, Emad A Rakha, Michael Toss, David J Dabbs, Peter Regitnig, Niels Olson, James H Wren, Carrie Robinson, Greg S Corrado, Lily H Peng, Yuan Liu, Craig H Mermel, David F Steiner, Po-Hsuan Cameron Chen
Determining breast cancer biomarker status and associated morphological features using deep learning. Communications medicine 1 (2021)
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, Greg S Corrado, Lily H Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yuan Liu, Martin C Stumpe, Kurt Zatloukal, Craig H Mermel
Interpretable survival prediction for colorectal cancer using deep learning. NPJ digital medicine 4 (1) (2021)
S J Huang, Yuan Liu, K Kanada, G S Corrado, D R Webster, L Peng, P Bui, Y Liu
Machine learning for clinical operations improvement via case triaging. Skin health and disease 2 (1) (2021)
Akinori Mitani, Naama Hammel, Yuan Liu
Retinal detection of kidney disease and diabetes. Nature biomedical engineering 5 (6) (2021)
Scott Mayer McKinney, Alan Karthikesalingam, Daniel Tse, Christopher J Kelly, Yuan Liu, Greg S Corrado, Shravya Shetty
Reply to: Transparency and reproducibility in artificial intelligence. Nature 586 (7829) (2021)
Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yuan Liu, Eric Topol, Jeff Dean, Richard Socher
Deep learning-enabled medical computer vision. NPJ digital medicine 4 (1) (2021)
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 Philipp Hassler, Greg S Corrado, Lily H Peng, Po-Hsuan Cameron Chen, David F Steiner, Kurt Zatloukal, Yuan Liu, Craig H Mermel
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading. Communications medicine 1 (2021)
Ellery Wulczyn, David F Steiner, Zhaoyang Xu, Apaar Sadhwani, Hongwu Wang, Isabelle Flament-Auvigne, Craig H Mermel, Po-Hsuan Cameron Chen, Yuan Liu, Martin C Stumpe
Deep learning-based survival prediction for multiple cancer types using histopathology images. PloS one 15 (6) (2020)
Jirawut Limwattanayingyong, Variya Nganthavee, Kasem Seresirikachorn, Tassapol Singalavanija, Ngamphol Soonthornworasiri, Varis Ruamviboonsuk, Chetan Rao, Rajiv Raman, Andrzej E Grzybowski, Mike Schaekermann, Lily H Peng, Dale R Webster, Christopher Semturs, Jonathan Krause, Rory Sayres, Fred Hersch, Richa Tiwari, Yuan Liu, Paisan Ruamviboonsuk
Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders. Journal of diabetes research 2020 (2020)
Yuan Liu, Ayush Jain, Clara Eng, David H Way, Kang Lee, Peggy Bui, Kimberly Kanada, Guilherme de Oliveira Marinho, Jessica Gallegos, Sara Gabriele, Vishakha Gupta, Nalini Singh, Vivek Natarajan, Rainer Hofmann-Wellenhof, Greg S Corrado, Lily H Peng, Dale R Webster, Dennis Ai, Susan J Huang, Yun Liu, R Carter Dunn, David Coz
A deep learning system for differential diagnosis of skin diseases. Nature medicine 26 (6) (2020)
Sohee Jeon, Yuan Liu, Ji-Peng Olivia Li, Dale Webster, Lily Peng, Daniel Shu Wei Ting
AI papers in ophthalmology made simple. Eye (London, England) 34 (11) (2020)
Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yuan Liu, Shiro Kadowaki, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Greg S Corrado, Jason D Hipp, Craig H Mermel, Martin C Stumpe
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis. Nature medicine 25 (9) (2019)
Akinori Mitani, Abigail Huang, Subhashini Venugopalan, Greg S Corrado, Lily Peng, Dale R Webster, Naama Hammel, Yuan Liu, Avinash V Varadarajan
Detection of anaemia from retinal fundus images via deep learning. Nature biomedical engineering 4 (1) (2019)
C Eng, Yuan Liu, R Bhatnagar
Measuring clinician-machine agreement in differential diagnoses for dermatology. The British journal of dermatology 182 (5) (2019)
Kunal Nagpal, Yuan 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 digital medicine 2 (2019)
Anna Majkowska, Sid Mittal, David F Steiner, Joshua J Reicher, Scott Mayer McKinney, Gavin E Duggan, Krish Eswaran, Po-Hsuan Cameron Chen, Yuan Liu, Sreenivasa Raju Kalidindi, Alexander Ding, Greg S Corrado, Daniel Tse, Shravya Shetty
Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation. Radiology 294 (2) (2019)

Yuan Liu.css-eqlu8i{font-size:small;padding-left:4px;} (Y Liu, Yun Liu)

Publication Activity (10 Years)

Top Topics

Top Venues

Yuan Liu (Y Liu, Yun Liu)