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Yong Fan
Yong Fan
University of Pennsylvania
Verified email at ieee.org
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Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
17292018
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
X Zhao, Y Wu, G Song, Z Li, Y Zhang, Y Fan
Medical Image Analysis 43, 98-111, 2018
7462018
Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI
C Misra, Y Fan, C Davatzikos
Neuroimage 44 (4), 1415-1422, 2009
6312009
Gender difference in neural response to psychological stress
J Wang, M Korczykowski, H Rao, Y Fan, J Pluta, RC Gur, BS McEwen, ...
Social cognitive and affective neuroscience 2 (3), 227-239, 2007
5902007
Classifying spatial patterns of brain activity with machine learning methods: application to lie detection
C Davatzikos, K Ruparel, Y Fan, DG Shen, M Acharyya, JW Loughead, ...
Neuroimage 28 (3), 663-668, 2005
5862005
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline
Y Fan, N Batmanghelich, CM Clark, C Davatzikos, ...
Neuroimage 39 (4), 1731-1743, 2008
5642008
Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging
C Davatzikos, Y Fan, X Wu, D Shen, SM Resnick
Neurobiology of aging 29 (4), 514-523, 2008
4772008
A modified Gabor filter design method for fingerprint image enhancement
J Yang, L Liu, T Jiang, Y Fan
Pattern Recognition Letters 24 (12), 1805-1817, 2003
4612003
COMPARE: classification of morphological patterns using adaptive regional elements
Y Fan, D Shen, RC Gur, RE Gur, C Davatzikos
IEEE transactions on medical imaging 26 (1), 93-105, 2007
4252007
Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study
Y Fan, SM Resnick, X Wu, C Davatzikos
Neuroimage 41 (2), 277-285, 2008
3712008
Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index
C Davatzikos, F Xu, Y An, Y Fan, SM Resnick
Brain 132 (8), 2026-2035, 2009
3272009
Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities
C Davatzikos, D Shen, RC Gur, X Wu, D Liu, Y Fan, P Hughett, BI Turetsky, ...
Archives of general psychiatry 62 (11), 1218-1227, 2005
3262005
Group information guided ICA for fMRI data analysis
Y Du, Y Fan
Neuroimage 69, 157-197, 2013
3192013
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan
R Pomponio, G Erus, M Habes, J Doshi, D Srinivasan, E Mamourian, ...
NeuroImage 208, 116450, 2020
3092020
Brain anatomical networks in early human brain development
Y Fan, F Shi, JK Smith, W Lin, JH Gilmore, D Shen
Neuroimage 54 (3), 1862-1871, 2011
2302011
Neonatal brain image segmentation in longitudinal MRI studies
F Shi, Y Fan, S Tang, JH Gilmore, W Lin, D Shen
Neuroimage 49 (1), 391-400, 2010
2262010
Development trends of white matter connectivity in the first years of life
PT Yap, Y Fan, Y Chen, JH Gilmore, W Lin, D Shen
PloS one 6 (9), e24678, 2011
2102011
High-dimensional pattern regression using machine learning: from medical images to continuous clinical variables
Y Wang, Y Fan, P Bhatt, C Davatzikos
Neuroimage 50 (4), 1519-1535, 2010
2072010
MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide
VM Bashyam, G Erus, J Doshi, M Habes, I Nasralah, M Truelove-Hill, ...
Brain, 2020
2032020
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data
H Li, M Habes, DA Wolk, Y Fan, ADN Initiative
Alzheimer's & Dementia, 2019
1992019
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Articles 1–20