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Jiook Cha

Department of Psychology, Seoul National University

13 papers hereh-index 272.5k citations86 works total

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

author position
  • middle author8
  • last author4

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV3
  • quant-ph2
  • cs.AI1
  • cs.LG1
  • cs.SD1
affiliations
  • Department of Psychology, Seoul National University
Homepage
same name
  • Jiook Cha — 11 papers, h 1
  • Jiook Cha — 1 paper
  • Jiook Cha — 1 paper, h 1

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
20202025
most citedGANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis

11 citations · 14 across the 9 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2025

Resting-state fMRI Analysis using Quantum Time-series Transformer

Junghoon Justin Park, Jungwoo Seo, Sangyoon Bae +4

Resting-state functional magnetic resonance imaging (fMRI) has emerged as a pivotal tool for revealing intrinsic brain network connectivity and identifying neural biomarkers of neu…

eess.IV2020★ 2 cited

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI

Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu +5

Positron Emission Tomography (PET) is now regarded as the gold standard for the diagnosis of Alzheimer's Disease (AD). However, PET imaging can be prohibitive in terms of cost and…

eess.IV2020★ 11 cited

GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis

Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava +4

Synthesizing medical images, such as PET, is a challenging task due to the fact that the intensity range is much wider and denser than those in photographs and digital renderings a…

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