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Byunggun Kim

3 papers hereh-index 219 citations5 works total

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

author position
  • first author3

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

fields
  • eess.IV2
  • cs.SD1

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedFinding essential parts of the brain in rs-fMRI can improve diagnosing ADHD by Deep Learning

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2025

Local Temporal Feature Enhanced Transformer with ROI-rank Based Masking for Diagnosis of ADHD

Byunggun Kim, Younghun Kwon

In modern society, Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the common mental diseases discovered not only in children but also in adults. In this context, we prop…

eess.IV2021★ 1 cited

Finding essential parts of the brain in rs-fMRI can improve diagnosing ADHD by Deep Learning

Byunggun Kim, Jaeseon Park, Taehun Kim +1

Attention Deficit\Hyperactivity Disorder(ADHD) is considered a very common psychiatric disorder, but it is difficult to establish an accurate diagnostic method for ADHD. Recently,…

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