Yun Liu

Orcid: 0000-0003-4079-8275

Affiliations:
  • Google AI Healthcare, Mountain View, CA, USA


According to our database1, Yun Liu authored at least 41 papers between 2009 and 2024.

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Bibliography

2024
PathAlign: A vision-language model for whole slide images in histopathology.
CoRR, 2024

Towards a Personal Health Large Language Model.
CoRR, 2024

Transforming Wearable Data into Health Insights using Large Language Model Agents.
CoRR, 2024

Advancing Multimodal Medical Capabilities of Gemini.
CoRR, 2024

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models.
CoRR, 2024

Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings.
CoRR, 2024

MINT: A wrapper to make multi-modal and multi-image AI models interactive.
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
Towards Accurate Differential Diagnosis with Large Language Models.
CoRR, 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

Towards Generalist Biomedical AI.
CoRR, 2023

Evaluating AI systems under uncertain ground truth: a case study in dermatology.
CoRR, 2023

Using generative AI to investigate medical imagery models and datasets.
CoRR, 2023

Towards Expert-Level Medical Question Answering with Large Language Models.
CoRR, 2023

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning.
CoRR, 2023

2022
Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions.
Medical Image Anal., 2022

Large Language Models Encode Clinical Knowledge.
CoRR, 2022

Discovering novel systemic biomarkers in photos of the external eye.
CoRR, 2022

Robust and Efficient Medical Imaging with Self-Supervision.
CoRR, 2022

2021
Interpretable survival prediction for colorectal cancer using deep learning.
npj Digit. Medicine, 2021

Deep learning-enabled medical computer vision.
npj Digit. Medicine, 2021

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries.
CoRR, 2021

2020
Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading.
CoRR, 2020

Detecting hidden signs of diabetes in external eye photographs.
CoRR, 2020

Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases.
CoRR, 2020

Predicting Risk of Developing Diabetic Retinopathy using Deep Learning.
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

Similar image search for histopathology: SMILY.
npj Digit. Medicine, 2019

Deep learning-based survival prediction for multiple cancer types using histopathology images.
CoRR, 2019

A deep learning system for differential diagnosis of skin diseases.
CoRR, 2019

Detecting Anemia from Retinal Fundus Images.
CoRR, 2019

Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection.
CoRR, 2019

2018
Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images.
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

Detecting Cancer Metastases on Gigapixel Pathology Images.
CoRR, 2017

2016
Transferring Knowledge from Text to Predict Disease Onset.
Proceedings of the 1st Machine Learning in Health Care, 2016

2009
LS-SNP/PDB: annotated non-synonymous SNPs mapped to Protein Data Bank structures.
Bioinform., 2009


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