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Lily Peng

Showing results (11-20 of 53) with videos related to

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Ophthalmology|March 18, 2018
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic RetinopathyJonathan Krause, Varun Gulshan, Ehsan Rahimy, et al.
Nano Letters|December 25, 2009
Whole genome expression analysis reveals differential effects of TiO2 nanotubes on vascular cellsLily Peng, Andrea J Barczak, Rebecca A Barbeau, et al.
Nature Biomedical Engineering|April 25, 2019
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learningRyan Poplin, Avinash V Varadarajan, Katy Blumer, et al.
Nature Biomedical Engineering|December 25, 2019
Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Nature Biomedical Engineering|February 14, 2020
Author Correction: Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Haematologica|October 31, 2024
Comparative efficacy of lisocabtagene maraleucel in the PILOT study <i>versus</i> second-line chemotherapy regimens in the real worldNilanjan Ghosh, Alison Sehgal, Fei Fei Liu, et al.
The American Journal of Surgical Pathology|October 13, 2018
Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast CancerDavid F Steiner, Robert MacDonald, Yun Liu, et al.
NPP - Digital Psychiatry and Neuroscience|December 8, 2025
Increasing psychopharmacology clinical trial success rates with digital measures and biomarkers: Future methodsJacob E Reiter, Stefanie Nickels, Benjamin W Nelson, et al.
Investigative Ophthalmology & Visual Science|July 20, 2018
Deep Learning for Predicting Refractive Error From Retinal Fundus ImagesAvinash V Varadarajan, Ryan Poplin, Katy Blumer, et al.
Haematologica|August 30, 2023
Lisocabtagene maraleucel for second-line relapsed or refractory large B-cell lymphoma: patient-reported outcomes from the PILOT studyLeo I Gordon, Fei Fei Liu, Julia Braverman, et al.
Pageof 6

Showing results (11-20 of 53) with videos related to

Sort By:
Pageof 6
Ophthalmology|March 18, 2018
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic RetinopathyJonathan Krause, Varun Gulshan, Ehsan Rahimy, et al.
Nano Letters|December 25, 2009
Whole genome expression analysis reveals differential effects of TiO2 nanotubes on vascular cellsLily Peng, Andrea J Barczak, Rebecca A Barbeau, et al.
Nature Biomedical Engineering|April 25, 2019
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learningRyan Poplin, Avinash V Varadarajan, Katy Blumer, et al.
Nature Biomedical Engineering|December 25, 2019
Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Nature Biomedical Engineering|February 14, 2020
Author Correction: Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Haematologica|October 31, 2024
Comparative efficacy of lisocabtagene maraleucel in the PILOT study <i>versus</i> second-line chemotherapy regimens in the real worldNilanjan Ghosh, Alison Sehgal, Fei Fei Liu, et al.
The American Journal of Surgical Pathology|October 13, 2018
Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast CancerDavid F Steiner, Robert MacDonald, Yun Liu, et al.
NPP - Digital Psychiatry and Neuroscience|December 8, 2025
Increasing psychopharmacology clinical trial success rates with digital measures and biomarkers: Future methodsJacob E Reiter, Stefanie Nickels, Benjamin W Nelson, et al.
Investigative Ophthalmology & Visual Science|July 20, 2018
Deep Learning for Predicting Refractive Error From Retinal Fundus ImagesAvinash V Varadarajan, Ryan Poplin, Katy Blumer, et al.
Haematologica|August 30, 2023
Lisocabtagene maraleucel for second-line relapsed or refractory large B-cell lymphoma: patient-reported outcomes from the PILOT studyLeo I Gordon, Fei Fei Liu, Julia Braverman, et al.
Pageof 6