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Yifan Peng

Associate Professor

Weill Cornell Medicine

United States

Research Interests

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About

Yifan Peng is an Assistant Professor at Weill Cornell Medicine in the United States. His research areas focus on deep learning applications in medical imaging, cell type classification, and consumer comprehension of health information. Recent publications include studies on automated classification of chest radiographs and dietary supplement information visualization, as well as advancements in detecting age-related macular degeneration.

Articles (9)

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2021

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2021

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2021

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (1)

Jinze Liu

Professor

Virginia Commonwealth University

UNITED STATES

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Yifan Peng

Research Interests

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Articles (9)

When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?

A reference-free approach for cell type classification with scRNA-seq

COVID-19-CT-CXR: A freely accessible and weakly labeled chest X-Ray and CT image collection on COVID-19 from biomedical literature

Generalized Zero-shot Chest X-ray Diagnosis through Trait-Guided Multi-view Semantic Embedding with Self-training

Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration

NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature

Automated abnormality classification of chest radiographs using deep convolutional neural networks

Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2

Predicting risk of late age-related macular degeneration using deep learning

Collaborators (1)

Jinze Liu

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