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M. Sarunic

8 papers hereh-index 488k citations299 works total

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

author position
  • middle author5
  • last author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.CV3

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedRetinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network

26 citations · 44 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

Beyond Natural-Image Foundation Models: Benchmarking Satellite Pretraining for Ophthalmic Image Analysis

Lovre Antonio Budimir, Mingya Alexa Gong, Alyssa Foong Quinney +5

Vision Foundation Models (VFMs) have emerged as a promising approach in medical imaging, producing broadly applicable systems that can be efficiently adapted across diverse imaging…

cs.CV2026

Representation Transfer of Foundation Models for Ultra-Widefield Retinal Imaging

Mingya Alexa Gong, Da Ma, Lovre Antonio Budimir +7

Despite the widespread adoption of foundation models as feature extractors for medical imaging, relatively little is understood about how different pretraining strategies influence…

cs.CV2017★ 26 cited

Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network

Donghuan Lu, Morgan Heisler, Sieun Lee +3

As a non-invasive imaging modality, optical coherence tomography (OCT) can provide micrometer-resolution 3D images of retinal structures. Therefore it is commonly used in the diagn…

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