Yun Liu
Orcid: 0000-0003-4079-8275Affiliations:
- Google AI Healthcare, Mountain View, CA, USA
According to our database1,
Yun Liu
authored at least 42 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings.
CoRR, 2024
CoRR, 2024
Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024
2023
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology.
CoRR, 2023
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
2022
Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions.
Medical Image Anal., 2022
2021
npj Digit. Medicine, 2021
Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries.
CoRR, 2021
2020
CoRR, 2020
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases.
CoRR, 2020
2019
Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer.
npj Digit. Medicine, 2019
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer.
npj Digit. Medicine, 2019
Reply: 'The importance of study design in the application of artificial intelligence methods in medicine'.
npj Digit. Medicine, 2019
Deep learning-based survival prediction for multiple cancer types using histopathology images.
CoRR, 2019
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection.
CoRR, 2019
2018
CoRR, 2018
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration.
CoRR, 2018
2017
Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning.
CoRR, 2017
2016
Proceedings of the 1st Machine Learning in Health Care, 2016
2009
Bioinform., 2009