Articles with public access mandates - Lily PengLearn more
Not available anywhere: 1
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 7 (6), 756-779, 2023
Mandates: Cancer Research UK
Available somewhere: 22
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
Mandates: Cancer Research UK, National Institute for Health Research, UK
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
Mandates: US National Institutes of Health
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
Mandates: UK Medical Research Council
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
Mandates: US National Science Foundation, US National Institutes of Health, National …
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
Mandates: Netherlands Organisation for Scientific Research, Cancer Research UK, UK …
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
Mandates: A*Star, Singapore, National Medical Research Council, Singapore, Ministry of …
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ...
Nature medicine 28 (1), 154-163, 2022
Mandates: Academy of Finland, Netherlands Organisation for Scientific Research …
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
Mandates: US National Institutes of Health
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 4 (1), 18-27, 2020
Mandates: UK Medical Research Council
Deep learning for predicting refractive error from retinal fundus images
AV Varadarajan, R Poplin, K Blumer, C Angermueller, J Ledsam, ...
Investigative ophthalmology & visual science 59 (7), 2861-2868, 2018
Mandates: UK Medical Research Council, National Institute for Health Research, UK
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
Mandates: US National Institutes of Health
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
AV Varadarajan, P Bavishi, P Ruamviboonsuk, P Chotcomwongse, ...
Nature communications 11 (1), 130, 2020
Mandates: National Institute for Health Research, UK
Determining breast cancer biomarker status and associated morphological features using deep learning
P Gamble, R Jaroensri, H Wang, F Tan, M Moran, T Brown, ...
Communications medicine 1 (1), 14, 2021
Mandates: US Department of Defense
Whole Genome Expression Analysis Reveals Differential Effects of TiO2 Nanotubes on Vascular Cells
L Peng, AJ Barczak, RA Barbeau, Y Xiao, TJ LaTempa, CA Grimes, ...
Nano letters 10 (1), 143-148, 2010
Mandates: US National Institutes of Health
Collagen fibril diameter and alignment promote the quiescent keratocyte phenotype
L Muthusubramaniam, L Peng, T Zaitseva, M Paukshto, GR Martin, ...
Journal of biomedical materials research Part A 100 (3), 613-621, 2012
Mandates: US National Institutes of Health
Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology
B Alipanahi, F Hormozdiari, B Behsaz, J Cosentino, ZR McCaw, ...
The American Journal of Human Genetics 108 (7), 1217-1230, 2021
Mandates: Cancer Research UK, UK Medical Research Council, National Institute for …
Deep learning models for histologic grading of breast cancer and association with disease prognosis
R Jaroensri, E Wulczyn, N Hegde, T Brown, I Flament-Auvigne, F Tan, ...
NPJ Breast cancer 8 (1), 113, 2022
Mandates: US Department of Defense
Deep learning to detect OCT-derived diabetic macular edema from color retinal photographs: a multicenter validation study
X Liu, TK Ali, P Singh, A Shah, SM McKinney, P Ruamviboonsuk, ...
Ophthalmology Retina 6 (5), 398-410, 2022
Mandates: UK Medical Research Council, National Institute for Health Research, UK
What makes a top research medical school? A call for a new model to evaluate academic physicians and medical school performance
MJ Goldstein, MR Lunn, L Peng
Academic Medicine 90 (5), 603-608, 2015
Mandates: US National Institutes of Health
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