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researcher

Jorge A. Cuadros

6 papers hereh-index 188.5k citations61 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV3

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedPredicting Risk of Developing Diabetic Retinopathy using Deep Learning

251 citations · 533 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2024★ 30 cited

Advancing Multimodal Medical Capabilities of Gemini

Lin Yang, Shawn Xu, Andrew Sellergren +44

Many clinical tasks require an understanding of specialized data, such as medical images and genomics, which is not typically found in general-purpose large multimodal models. Buil…

cs.CV2018★ 138 cited

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

Avinash Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk +15

Diabetic eye disease is one of the fastest growing causes of preventable blindness. With the advent of anti-VEGF (vascular endothelial growth factor) therapies, it has become incre…

cs.CV2017★ 12 cited

Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening

Sajib Kumar Saha, Basura Fernando, Jorge Cuadros +2

Purpose To develop a computer based method for the automated assessment of image quality in the context of diabetic retinopathy (DR) to guide the photographer. Methods A deep learn…

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