◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yifan Peng

Weill Cornell Medicine

33 papers hereh-index 338.3k citations92 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author18
  • last author4

Across the 30 of 33 papers where every author was matched, so the position is known.

fields
  • cs.CL15
  • cs.CV9
  • eess.IV3
  • cs.CY1
  • cs.DL1
  • cs.IR1
affiliations
  • Weill Cornell Medicine
Homepage
same name
  • Yifan Peng — 49 papers, h 21
  • Yifan Peng — 19 papers, h 10
  • Yifan Peng — 18 papers
  • Yifan Peng — 13 papers, h 9
  • Yifan Peng — 10 papers, h 1
  • Yifan Peng — 9 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedML-Net: multi-label classification of biomedical texts with deep neural networks

139 citations · 765 across the 31 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2020★ 8 cited

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

Yifan Peng, Tiarnan D. Keenan, Qingyu Chen +5

By 2040, age-related macular degeneration (AMD) will affect approximately 288 million people worldwide. Identifying individuals at high risk of progression to late AMD, the sight-t…

eess.IV2020★ 15 cited

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

Yifan Peng, Yu-Xing Tang, Sungwon Lee +3

The latest threat to global health is the COVID-19 outbreak. Although there exist large datasets of chest X-rays (CXR) and computed tomography (CT) scans, few COVID-19 image collec…

eess.IV2019

A deep learning approach for automated detection of geographic atrophy from color fundus photographs

Tiarnan D. Keenan, Shazia Dharssi, Yifan Peng +5

Purpose: To assess the utility of deep learning in the detection of geographic atrophy (GA) from color fundus photographs; secondary aim to explore potential utility in detecting c…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.