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M. Dong

3 papers hereh-index 6203 citations28 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
  • cs.CV1
  • cs.LG1
  • q-bio.NC1
same name
  • M. Dong — 246 papers, h 43
  • M. Dong — 236 papers, h 17
  • M. Dong — 116 papers, h 8
  • M. Dong — 36 papers, h 4
  • M. Dong — 30 papers, h 4
  • M. Dong — 23 papers, h 12

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
20202024
most citedNeural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization

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

collaborators

3 papers

cs.CV2024★ 1 cited

Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization

Yifan Wu, Mengjin Dong, Rohit Jena +2

Deformable image registration (DIR) is crucial in medical image analysis, enabling the exploration of biological dynamics such as organ motions and longitudinal changes in imaging.…

q-bio.NC2023

Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI

Mengjin Dong, Long Xie, Sandhitsu R. Das +5

Longitudinal assessment of brain atrophy, particularly in the hippocampus, is a well-studied biomarker for neurodegenerative diseases, such as Alzheimer's disease (AD). In clinical…

cs.LG2020

DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease

Mengjin Dong, Long Xie, Sandhitsu R. Das +5

Volume change measures derived from longitudinal MRI (e.g. hippocampal atrophy) are a well-studied biomarker of disease progression in Alzheimer's Disease (AD) and are used in clin…

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