Lily Peng
Lily Peng
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Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
V Gulshan, L Peng, M Coram, MC Stumpe, D Wu, A Narayanaswamy, ...
Jama 316 (22), 2402-2410, 2016
International evaluation of an AI system for breast cancer screening
SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ...
Nature 577 (7788), 89-94, 2020
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
D Ardila, AP Kiraly, S Bharadwaj, B Choi, JJ Reicher, L Peng, D Tse, ...
Nature medicine 25 (6), 954-961, 2019
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), 158-164, 2018
Artificial intelligence and deep learning in ophthalmology
DSW Ting, LR Pasquale, L Peng, JP Campbell, AY Lee, R Raman, ...
British Journal of Ophthalmology 103 (2), 167-175, 2019
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
TiO2 nanotube arrays of 1000 μm length by anodization of titanium foil: phenol red diffusion
M Paulose, HE Prakasam, OK Varghese, L Peng, KC Popat, GK Mor, ...
The Journal of Physical Chemistry C 111 (41), 14992-14997, 2007
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy
J Krause, V Gulshan, E Rahimy, P Karth, G Corrado, K Widner, L Peng, ...
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
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 26 (6), 900-908, 2020
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
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
Deep learning in ophthalmology: the technical and clinical considerations
DSW Ting, L Peng, AV Varadarajan, PA Keane, PM Burlina, MF Chiang, ...
Progress in retinal and eye research 72, 100759, 2019
The effect of TiO2 nanotubes on endothelial function and smooth muscle proliferation
L Peng, ML Eltgroth, TJ LaTempa, CA Grimes, TA Desai
Biomaterials 30 (7), 1268-1272, 2009
Using a deep learning algorithm and integrated gradients explanation to assist grading for diabetic retinopathy
R Sayres, A Taly, E Rahimy, K Blumer, D Coz, N Hammel, J Krause, ...
Ophthalmology 126 (4), 552-564, 2019
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, 2018
Long-Term Small Molecule and Protein Elution from TiO2 Nanotubes
L Peng, AD Mendelsohn, TJ LaTempa, S Yoriya, CA Grimes, TA Desai
Nano letters 9 (5), 1932-1936, 2009
Combined targeting of MEK and PI3K/mTOR effector pathways is necessary to effectively inhibit NRAS mutant melanoma in vitro and in vivo
C Posch, H Moslehi, L Feeney, GA Green, A Ebaee, V Feichtenschlager, ...
Proceedings of the National Academy of Sciences 110 (10), 4015-4020, 2013
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial …
GS Collins, P Dhiman, CLA Navarro, J Ma, L Hooft, JB Reitsma, P Logullo, ...
BMJ open 11 (7), e048008, 2021
How to develop machine learning models for healthcare
PHC Chen, Y Liu, L Peng
Nature materials 18 (5), 410-414, 2019
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