World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
15765
World Ranking
4004
National Ranking
1908

Overview

Yong Fan is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the fields of Medicine and Neuroscience, with a significant emphasis on Cognitive Neuroscience and Radiology, Nuclear Medicine, and Imaging. Additional subfields in their work include Experimental and Cognitive Psychology, Psychiatry and Mental Health, and Computer Vision and Pattern Recognition.

Their research topics focus mainly on Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Mental Health Research Topics, Neural Dynamics and Brain Function, Advanced MRI Techniques and Applications, Radiomics and Machine Learning in Medical Imaging, and Dementia and Cognitive Impairment Research.

Yong Fan has contributed to various scholarly works published in reputable venues. The most frequent publication venues include bioRxiv (Cold Spring Harbor Laboratory), Biological Psychiatry, arXiv (Cornell University), International Journal of Radiation Oncology*Biology*Physics, and JAMA Psychiatry.

Some of their recent papers are as follows:

  • "MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14,468 individuals worldwide" (2020) Brain
  • "Individual Variation in Functional Topography of Association Networks in Youth" (2020) Neuron
  • "Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning" (2020) Brain
  • "Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum" (2022) JAMA Neurology
  • "The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans" (2020) Alzheimer's & Dementia

Their frequent co-authors include Christos Davatzikos, Theodore D. Satterthwaite, Russell T. Shinohara, Hongming Li, and Güray Erus.

Best Publications

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • A deep learning model integrating FCNNs and CRFs for brain tumor segmentation.

    Xiaomei Zhao;Yihong Wu;Guidong Song;Zhenye Li

  • Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI

    Chandan Misra;Yong Fan;Christos Davatzikos

  • Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection

    Christos Davatzikos;Kosha Ruparel;Yong Fan;Dinggang Shen

  • Gender difference in neural response to psychological stress

    Jiongjiong Wang;Marc Korczykowski;Hengyi Rao;Yong Fan

  • Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline.

    Yong Fan;Nematollah Batmanghelich;Chris M. Clark;Christos Davatzikos

  • Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging

    Christos Davatzikos;Yong Fan;Xiaoying Wu;Dinggang Shen

  • Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.

    Raymond Pomponio;Guray Erus;Mohamad Habes;Jimit Doshi

  • A modified Gabor filter design method for fingerprint image enhancement

    Jianwei Yang;Lifeng Liu;Tianzi Jiang;Yong Fan

  • COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements

    Yong Fan;Dinggang Shen;R.C. Gur;R.E. Gur

  • Group information guided ICA for fMRI data analysis

    Yuhui Du;Yong Fan

  • MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide.

    Vishnu M Bashyam;Guray Erus;Jimit Doshi;Mohamad Habes

  • Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study

    Yong Fan;Susan M. Resnick;Xiaoying Wu;Christos Davatzikos

  • Individual Variation in Functional Topography of Association Networks in Youth

    Zaixu Cui;Hongming Li;Cedric H. Xia;Bart Larsen

  • Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

    Ganesh B Chand;Dominic B Dwyer;Guray Erus;Aristeidis Sotiras;Aristeidis Sotiras

  • Brain anatomical networks in early human brain development.

    Yong Fan;Feng Shi;Jeffrey Keith Smith;Weili Lin

  • A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data

    Hongming Li;Mohamad Habes;David A. Wolk;Yong Fan

  • Neonatal Brain Image Segmentation in Longitudinal MRI Studies

    Feng Shi;Yong Fan;Songyuan Tang;John H. Gilmore

  • High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables

    Ying Wang;Yong Fan;Priyanka Bhatt;Christos Davatzikos

  • Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

    Christos Davatzikos;Saima Rathore;Spyridon Bakas;Sarthak Pati

  • Development trends of white matter connectivity in the first years of life.

    Pew Thian Yap;Yong Fan;Yasheng Chen;John H. Gilmore

Frequent Co-Authors

Christos Davatzikos
Christos Davatzikos University of Pennsylvania
Dinggang Shen
Dinggang Shen ShanghaiTech University
Tianzi Jiang
Tianzi Jiang Chinese Academy of Sciences
Theodore D. Satterthwaite
Theodore D. Satterthwaite University of Pennsylvania
Ruben C. Gur
Ruben C. Gur University of Pennsylvania
Raquel E. Gur
Raquel E. Gur University of Pennsylvania
Daniel H. Wolf
Daniel H. Wolf University of Pennsylvania
Russell T. Shinohara
Russell T. Shinohara University of Pennsylvania
Nikolaos Koutsouleris
Nikolaos Koutsouleris Ludwig-Maximilians-Universität München
Susan M. Resnick
Susan M. Resnick National Institutes of Health

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