Lily Peng

According to our database1, Lily Peng authored at least 26 papers between 2017 and 2022.

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Bibliography

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

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

AI system for fetal ultrasound in low-resource settings.
CoRR, 2022

2021
Interpretable survival prediction for colorectal cancer using deep learning.
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

Scientific Discovery by Generating Counterfactuals using Image Translation.
CoRR, 2020

Scientific Discovery by Generating Counterfactuals Using Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.
npj Digit. Medicine, 2019

Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.
npj Digit. Medicine, 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

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

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

Detecting Anemia from Retinal Fundus Images.
CoRR, 2019

Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning.
CoRR, 2019

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

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.
CoRR, 2018

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program.
CoRR, 2018

2017
Deep learning for predicting refractive error from retinal fundus images.
CoRR, 2017

Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy.
CoRR, 2017

Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning.
CoRR, 2017

Detecting Cancer Metastases on Gigapixel Pathology Images.
CoRR, 2017


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