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Jae Y. Shin

4 papers hereh-index 93.6k citations12 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedConvolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

3.3k citations · 3.3k across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

DMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement

Youngmin Kim, Jaeyun Shin, Jeongchan Kim +5

Ultra Low Field (64 mT) brain MRI improves accessibility but suffers from reduced image quality compared to 3 T. As paired 64 mT - 3 T scans are scarce, we propose an unpaired 64 m…

cs.CV2017

Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks

Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst +2

Cardiovascular disease (CVD) is the leading cause of mortality yet largely preventable, but the key to prevention is to identify at-risk individuals before adverse events. For pred…

cs.CV2017★ 3.3k cited

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu +4

Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure pro…

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