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S. Kang

3 papers hereh-index 12610 citations40 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV1
  • q-bio.NC1
  • q-bio.QM1
same name
  • S. Kang — 101 papers, h 27
  • S. Kang — 41 papers, h 7
  • S. Kang — 22 papers
  • S. Kang — 19 papers, h 70
  • S. Kang — 14 papers
  • S. Kang — 10 papers, h 21

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

most citedA comprehensive protocol for manual segmentation of the human claustrum and its sub-regions using high-resolution MRI

3 citations · 5 across the 2 of their papers we have counts for

collaborators

3 papers

q-bio.QM2020★ 3 cited

A comprehensive protocol for manual segmentation of the human claustrum and its sub-regions using high-resolution MRI

Seung Suk Kang, Joseph Bodenheimer, Tracey Butler

The claustrum (Cl) is a thin grey matter structure located in the center of each brain hemisphere. Cl has been hypothesized as a central hub of the brain for multisensory/sensorimo…

q-bio.NC2020

Interoception Underlies The Therapeutic Effects of Mindfulness Meditation for Post-Traumatic Stress Disorder: A Randomized Clinical Trial

Seung Suk Kang, Ph. D., Scott R. Sponheim +2

Mindfulness-based interventions have proven its efficacy in treating post-traumatic stress disorder (PTSD), but the underlying neurobiological mechanism is unknown. To determine th…

eess.IV2019★ 2 cited

Automated Human Claustrum Segmentation using Deep Learning Technologies

Ahmed Awad Albishri, Syed Jawad Hussain Shah, Anthony Schmiedler +2

In recent years, Deep Learning (DL) has shown promising results in conducting AI tasks such as computer vision and image segmentation. Specifically, Convolutional Neural Network (C…

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