Xiaoying Tang
Xiaoying Tang
Southern University of Science and Technology
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Bayesian parameter estimation and segmentation in the multi-atlas random orbit model
X Tang, K Oishi, AV Faria, AE Hillis, MS Albert, S Mori, MI Miller
PloS one 8 (6), e65591, 2013
Shape abnormalities of subcortical and ventricular structures in mild cognitive impairment and Alzheimer's disease: detecting, quantifying, and predicting
X Tang, D Holland, AM Dale, L Younes, MI Miller, ...
Human brain mapping 35 (8), 3701-3725, 2014
Automated anatomical labeling by multi-contrast diffeomorphic probability fusion
MI Miller, S Mori, X Tang
US Patent 10,535,133, 2020
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set
Y Zhang, J Wu, Y Liu, Y Chen, W Chen, EX Wu, C Li, X Tang
Medical Image Analysis 68, 101884, 2021
The diffeomorphometry of regional shape change rates and its relevance to cognitive deterioration in mild cognitive impairment and A lzheimer's disease
X Tang, D Holland, AM Dale, L Younes, MI Miller, ...
Human brain mapping 36 (6), 2093-2117, 2015
MI-UNet: multi-inputs UNet incorporating brain parcellation for stroke lesion segmentation from T1-weighted magnetic resonance images
Y Zhang, J Wu, Y Liu, Y Chen, EX Wu, X Tang
IEEE Journal of Biomedical and Health Informatics 25 (2), 526-535, 2020
Shape and diffusion tensor imaging based integrative analysis of the hippocampus and the amygdala in Alzheimer's disease
X Tang, Y Qin, J Wu, M Zhang, W Zhu, MI Miller
Magnetic resonance imaging 34 (8), 1087-1099, 2016
Segmentation of brain magnetic resonance images based on multi-atlas likelihood fusion: testing using data with a broad range of anatomical and photometric profiles
X Tang, D Crocetti, K Kutten, C Ceritoglu, MS Albert, S Mori, SH Mostofsky, ...
Frontiers in neuroscience 9, 116657, 2015
Tools for multiple granularity analysis of brain MRI data for individualized image analysis
A Djamanakova, X Tang, X Li, AV Faria, C Ceritoglu, K Oishi, AE Hillis, ...
Neuroimage 101, 168-176, 2014
Multi-contrast multi-atlas parcellation of diffusion tensor imaging of the human brain
X Tang, S Yoshida, J Hsu, TAGM Huisman, AV Faria, K Oishi, K Kutten, ...
PloS one 9 (5), e96985, 2014
Skip connection U-Net for white matter hyperintensities segmentation from MRI
J Wu, Y Zhang, K Wang, X Tang
IEEE Access 7, 155194-155202, 2019
Prostate segmentation using 2D bridged U-net
W Chen, Y Zhang, J He, Y Qiao, Y Chen, H Shi, EX Wu, X Tang
2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019
Computational analysis of LDDMM for brain mapping
C Ceritoglu, X Tang, M Chow, D Hadjiabadi, D Shah, T Brown, ...
Frontiers in neuroscience 7, 151, 2013
Hippocampal sub‐regional shape and physical activity in older adults
VR Varma, X Tang, MC Carlson
Hippocampus 26 (8), 1051-1060, 2016
Deep learning initialized and gradient enhanced level-set based segmentation for liver tumor from CT images
Y Zhang, B Jiang, J Wu, D Ji, Y Liu, Y Chen, EX Wu, X Tang
IEEE Access 8, 76056-76068, 2020
Baseline shape diffeomorphometry patterns of subcortical and ventricular structures in predicting conversion of mild cognitive impairment to Alzheimer's disease
X Tang, D Holland, AM Dale, L Younes, MI Miller, ...
Journal of Alzheimer's Disease 44 (2), 599-611, 2015
APOE affects the volume and shape of the amygdala and the hippocampus in mild cognitive impairment and Alzheimer’s disease: age matters
X Tang, D Holland, AM Dale, MI Miller, ...
Journal of Alzheimer's Disease 47 (3), 645-660, 2015
Anomalous subcortical morphology in boys, but not girls, with ADHD compared to typically developing controls and correlates with emotion dysregulation
KE Seymour, X Tang, D Crocetti, SH Mostofsky, MI Miller, KS Rosch
Psychiatry Research: Neuroimaging 261, 20-28, 2017
Gamma challenge: glaucoma grading from multi-modality images
J Wu, H Fang, F Li, H Fu, F Lin, J Li, Y Huang, Q Yu, S Song, X Xu, Y Xu, ...
Medical Image Analysis 90, 102938, 2023
Bsda-net: A boundary shape and distance aware joint learning framework for segmenting and classifying octa images
L Lin, Z Wang, J Wu, Y Huang, J Lyu, P Cheng, J Wu, X Tang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
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