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D-Index & Metrics

Medicine

D-Index
97
Citations
31210
World Ranking
9373
National Ranking
4833

Overview

Weili Lin is affiliated with the University of North Carolina at Chapel Hill in the United States. The primary research areas of Lin focus on Medicine, with a strong emphasis on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Computer Vision and Pattern Recognition, and Astronomy and Astrophysics.

Their work extensively covers topics within advanced neuroimaging and brain studies, including:

  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Neonatal and Fetal Brain Pathology
  • Advanced MRI Techniques and Applications
  • Fetal and Pediatric Neurological Disorders
  • Medical Imaging Techniques and Applications
  • Medical Image Segmentation Techniques

Their recent publications demonstrate a focus on brain imaging, segmentation algorithms, and neural network methodologies. Selected recent papers include:

  • Common variants contribute to intrinsic human brain functional networks, 2022, Nature Genetics
  • iBEAT V2.0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction, 2023, Nature Protocols
  • Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge, 2021, IEEE Transactions on Medical Imaging
  • Source-free unsupervised domain adaptation: A survey, 2024, Neural Networks
  • A shock flash breaking out of a dusty red supergiant, 2023, Nature

Lin has frequently collaborated with notable coauthors in the field, including:

  • Dinggang Shen
  • Li Wang
  • Gang Li
  • Zhengwang Wu
  • John H. Gilmore

Their publishing record is notable across several venues, primarily within university and scientific library collections and conference proceedings:

  • UNC Libraries
  • Lecture Notes in Computer Science
  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • A Structural MRI Study of Human Brain Development from Birth to 2 Years

    Rebecca C. Knickmeyer;Sylvain Gouttard;Chaeryon Kang;Dianne Evans

  • Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.

    Wenlu Zhang;Rongjian Li;Houtao Deng;Li Wang

  • Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects

    Wei Gao;Hongtu Zhu;Kelly S. Giovanello;J. Keith Smith

  • Infant brain atlases from neonates to 1- and 2-year-olds.

    Feng Shi;Pew Thian Yap;Guorong Wu;Hongjun Jia

  • Regional Gray Matter Growth, Sexual Dimorphism, and Cerebral Asymmetry in the Neonatal Brain

    John H. Gilmore;Weili Lin;Marcel W. Prastawa;Christopher B. Looney

  • Measuring tortuosity of the intracerebral vasculature from MRA images

    E. Bullitt;G. Gerig;S.M. Pizer;Weili Lin

  • Longitudinal Development of Cortical and Subcortical Gray Matter from Birth to 2 Years

    John H. Gilmore;Feng Shi;Sandra L. Woolson;Rebecca C. Knickmeyer

  • The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.

    Brittany R. Howell;Martin A. Styner;Wei Gao;Wei Gao;Pew-Thian Yap

  • Automatic segmentation of MR images of the developing newborn brain.

    Marcel Prastawa;John H. Gilmore;Weili Lin;Guido Gerig

  • Functional Network Development During the First Year: Relative Sequence and Socioeconomic Correlations

    Wei Gao;Sarael Alcauter;Amanda Elton;Carlos R. Hernandez-Castillo

  • 3D conditional generative adversarial networks for high-quality PET image estimation at low dose

    Yan Wang;Biting Yu;Lei Wang;Chen Zu

  • Development of human brain cortical network architecture during infancy

    Wei Gao;Sarael Alcauter;J. Keith Smith;John H. Gilmore

  • Vessel tortuosity and brain tumor malignancy: a blinded study.

    Elizabeth Bullitt;Donglin Zeng;Guido Gerig;Stephen Aylward

  • Functional Connectivity of the Infant Human Brain: Plastic and Modifiable

    Wei Gao;Weili Lin;Karen M Grewen;John H Gilmore

  • Temporal and Spatial Development of Axonal Maturation and Myelination of White Matter in the Developing Brain

    W. Gao;W. Lin;Y. Chen;G. Gerig

  • Transient and Permanent Resolution of Ischemic Lesions on Diffusion-Weighted Imaging After Brief Periods of Focal Ischemia in Rats Correlation With Histopathology

    Fuhai Li;Kai-Feng Liu;Matthew D. Silva;Tsuyoshi Omae

  • Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI

    Lei Xiang;Yu Qiao;Dong Nie;Le An

  • In vivo measurement of blood oxygen saturation using magnetic resonance imaging: a direct validation of the blood oxygen level-dependent concept in functional brain imaging.

    E. Mark Haacke;Song Lai;Jürgen R. Reichenbach;Karthikeyan Kuppusamy

  • Quantitative measurements of cerebral blood oxygen saturation using magnetic resonance imaging.

    Hongyu An;Weili Lin;Weili Lin

  • LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images

    Li Wang;Yaozong Gao;Feng Shi;Gang Li

Frequent Co-Authors

Dinggang Shen
Dinggang Shen ShanghaiTech University
Gang Li
Gang Li University of North Carolina at Chapel Hill
Pew Thian Yap
Pew Thian Yap University of North Carolina at Chapel Hill
Feng Shi
Feng Shi United Imaging Intelligence (China)
Guido Gerig
Guido Gerig New York University
Wei Gao
Wei Gao Cedars-Sinai Medical Center
Jin-Moo Lee
Jin-Moo Lee Washington University in St. Louis
William J. Powers
William J. Powers University of North Carolina at Chapel Hill
Martin Styner
Martin Styner University of North Carolina at Chapel Hill
Han Zhang
Han Zhang ShanghaiTech University

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