◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Gang Li

6 papers hereh-index 386.2k citations187 works total

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

author position
  • first author1
  • middle author4
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • q-bio.NC2
  • stat.ME1
same name
  • Gang Li — 46 papers, h 75
  • Gang Li — 27 papers, h 20
  • Gang Li — 24 papers, h 12
  • Gang Li — 21 papers, h 12
  • Gang Li — 18 papers, h 21
  • Gang Li — 18 papers, h 10

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
20192024
most citedDeep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images

2 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2020

Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces

Peirong Liu, Zhengwang Wu, Gang Li +2

Charting cortical growth trajectories is of paramount importance for understanding brain development. However, such analysis necessitates the collection of longitudinal data, which…

cs.CV2019

Spherical U-Net on Cortical Surfaces: Methods and Applications

Fenqiang Zhao, Shunren Xia, Zhengwang Wu +6

Convolutional Neural Networks (CNNs) have been providing the state-of-the-art performance for learning-related problems involving 2D/3D images in Euclidean space. However, unlike i…

cs.CV2019★ 2 cited

Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images

Dongming Wei, Zhengwang Wu, Gang Li +3

Objective: Deformable brain MR image registration is challenging due to large inter-subject anatomical variation. For example, the highly complex cortical folding pattern makes it…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.