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Yun Liu
Yun Liu
Senior Staff Research Scientist, Google Research
Correu electrònic verificat a google.com - Pàgina d'inici
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Large language models encode clinical knowledge
K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ...
Nature, 2023
23622023
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
R Poplin, AV Varadarajan, K Blumer, Y Liu, MV McConnell, GS Corrado, ...
Nature Biomedical Engineering 2 (3), 158, 2018
17732018
Deep learning-enabled medical computer vision
A Esteva, K Chou, S Yeung, N Naik, A Madani, A Mottaghi, Y Liu, E Topol, ...
npj Digital Medicine, 2021
10552021
Detecting cancer metastases on gigapixel pathology images
Y Liu, K Gadepalli, M Norouzi, GE Dahl, T Kohlberger, A Boyko, ...
arXiv preprint arXiv:1703.02442, 2017
8262017
Toward expert-level medical question answering with large language models
K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, M Amin, L Hou, K Clark, ...
Nature Medicine, 1-8, 2025
7312025
A deep learning system for differential diagnosis of skin diseases
Y Liu, A Jain, C Eng, DH Way, K Lee, P Bui, K Kanada, ...
Nature Medicine, 2020
6982020
Impact of deep learning assistance on the histopathologic review of lymph nodes for metastatic breast cancer
DF Steiner, R MacDonald, Y Liu, P Truszkowski, JD Hipp, C Gammage, ...
The American journal of surgical pathology 42 (12), 1636-1646, 2018
4982018
How to read articles that use machine learning: Users’ Guides to the Medical Literature
Y Liu, PHC Chen, J Krause, L Peng
Jama 322 (18), 1806-1816, 2019
4872019
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
K Nagpal, D Foote, Y Liu, PHC Chen, E Wulczyn, F Tan, N Olson, ...
NPJ digital medicine 2 (1), 48, 2019
4862019
Artificial intelligence–based breast cancer nodal metastasis detection: Insights into the black box for pathologists
Y Liu, T Kohlberger, M Norouzi, GE Dahl, JL Smith, A Mohtashamian, ...
Archives of pathology & laboratory medicine 143 (7), 859-868, 2019
4022019
How to develop machine learning models for healthcare
PHC Chen*, Y Liu*, L Peng
Nature Materials 18 (5), 410, 2019
3242019
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
PHC Chen, K Gadepalli, R MacDonald, Y Liu, S Kadowaki, K Nagpal, ...
Nature Medicine, 2019
3152019
Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation
A Majkowska, S Mittal, DF Steiner, JJ Reicher, SM McKinney, GE Duggan, ...
Radiology, 2019
2962019
Deep learning-based survival prediction for multiple cancer types using histopathology images
E Wulczyn, DF Steiner, Z Xu, A Sadhwani, H Wang, I Flament-Auvigne, ...
PLOS ONE, 2020
2572020
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ...
Nature Biomedical Engineering, 2023
242*2023
Predicting the risk of developing diabetic retinopathy using deep learning
A Bora, S Balasubramanian, B Babenko, S Virmani, S Venugopalan, ...
The Lancet Digital Health, 2020
2162020
Detection of anaemia from retinal fundus images via deep learning
A Mitani, A Huang, S Venugopalan, GS Corrado, L Peng, DR Webster, ...
Nature Biomedical Engineering, 2019
2122019
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
S Phene, RC Dunn, N Hammel, Y Liu, J Krause, N Kitade, ...
Ophthalmology 126 (12), 1627-1639, 2019
1922019
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens
K Nagpal, D Foote, F Tan, Y Liu, PHC Chen, DF Steiner, N Manoj, ...
JAMA Oncology, 2020
1842020
Interpretable survival prediction for colorectal cancer using deep learning
E Wulczyn, DF Steiner, M Moran, M Plass, R Reihs, F Tan, ...
npj Digital Medicine, 2021
1682021
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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