| 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 | 1358 | 2018 |
| 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 | 642 | 2018 |
| 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 | 611 | 2009 |
| 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 | 569 | 2005 |
| 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 | 547 | 2008 |
| 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 | 547 | 2007 |
| 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 | 468 | 2008 |
| 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 | 446 | 2003 |
| 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 | 418 | 2007 |
| 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 | 360 | 2008 |
| 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 | 324 | 2005 |
| 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 | 312 | 2009 |
| Group information guided ICA for fMRI data analysis Y Du, Y Fan Neuroimage 69, 157-197, 2013 | 271 | 2013 |
| 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 | 219 | 2020 |
| 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 | 219 | 2010 |
| 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 | 214 | 2011 |
| 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 | 199 | 2010 |
| 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 | 197 | 2011 |
| Classification of structural images via high-dimensional image warping, robust feature extraction, and SVM Y Fan, D Shen, C Davatzikos Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005: 8th …, 2005 | 186 | 2005 |
| Non-rigid image registration using self-supervised fully convolutional networks without training data H Li, Y Fan 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 158 | 2018 |
