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researcher

M. Chung

38 papers hereh-index 437.8k citations240 works total

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

author position
  • sole author8
  • first author14
  • middle author7
  • last author8

Across the 37 of 38 papers where every author was matched, so the position is known.

fields
  • q-bio.NC9
  • cs.CV5
  • q-bio.QM4
  • stat.ME4
  • stat.AP3
  • stat.CO3
same name
  • M. Chung — 74 papers, h 23
  • M. Chung — 45 papers
  • M. Chung — 36 papers, h 12
  • M. Chung — 30 papers, h 15
  • M. Chung — 12 papers, h 13
  • M. Chung — 11 papers, h 6

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
20132026
most citedPersistent Homology in Sparse Regression and its Application to Brain Morphometry

74 citations · 162 across the 36 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

q-bio.NC2022★ 1 cited

Hodge-Decomposition of Functional Brain Networks

D. Vijay Anand, Anass B El-Yaagoubi, Hernando Ombao +1

We propose to analyze dynamically changing brain networks by decomposing them into three orthogonal components through the Hodge decomposition. We propose to quantify the magnitude…

q-bio.OT2022

Embedding of Functional Human Brain Networks on a Sphere

Moo K. Chung, Zijian Chen

Human brain activity is often measured using the blood-oxygen-level dependent (BOLD) signals obtained through functional magnetic resonance imaging (fMRI). The strength of connecti…

q-bio.QM2022★ 16 cited

Topological Data Analysis of Human Brain Networks Through Order Statistics

Soumya Das, D. Vijay Anand, Moo K. Chung

Understanding the common topological characteristics of the human brain network across a population is central to understanding brain functions. The abstraction of human connectome…

q-bio.NC2022

Statistical Analysis on Brain Surfaces

Moo K. Chung, Jamie L. Hanson, Seth D. Pollak

In this paper, we review widely used statistical analysis frameworks for data defined along cortical and subcortical surfaces that have been developed in last two decades. The cere…

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