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researcher

L. Peng

12 papers hereh-index 4123.2k citations79 works total

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

author position
  • middle author10

Across the 10 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • eess.IV2
  • cs.LG1
  • q-bio.GN1
same name
  • L. Peng — 9 papers, h 5
  • L. Peng — 7 papers, h 16
  • L. Peng — 6 papers, h 9
  • L. Peng — 5 papers, h 40
  • L. Peng — 3 papers, h 1
  • L. Peng — 2 papers, h 23

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
20182022
most citedPredicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning

10 citations · 12 across the 4 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

eess.IV2019

A deep learning system for differential diagnosis of skin diseases

Yuan Liu, Ayush Jain, Clara Eng +19

Skin conditions affect an estimated 1.9 billion people worldwide. A shortage of dermatologists causes long wait times and leads patients to seek dermatologic care from general prac…

cs.CV2019

Detecting Anemia from Retinal Fundus Images

Akinori Mitani, Yun Liu, Abigail Huang +5

Despite its high prevalence, anemia is often undetected due to the invasiveness and cost of screening and diagnostic tests. Though some non-invasive approaches have been developed,…

cs.CV2019★ 10 cited

Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning

Boris Babenko, Siva Balasubramanian, Katy E. Blumer +5

Background: Patients with neovascular age-related macular degeneration (AMD) can avoid vision loss via certain therapy. However, methods to predict the progression to neovascular a…

cs.CV2019

Similar Image Search for Histopathology: SMILY

Narayan Hegde, Jason D. Hipp, Yun Liu +11

The increasing availability of large institutional and public histopathology image datasets is enabling the searching of these datasets for diagnosis, research, and education. Thou…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.