|Automated bone segmentation from large field of view 3D MR images of the hip joint|
Y Xia, J Fripp, SS Chandra, R Schwarz, C Engstrom, S Crozier
Physics in Medicine & Biology 58 (20), 7375, 2013
|Focused shape models for hip joint segmentation in 3D magnetic resonance images|
SS Chandra, Y Xia, C Engstrom, S Crozier, R Schwarz, J Fripp
Medical image analysis 18 (3), 567-578, 2014
|Automatic hip cartilage segmentation from 3D MR images using arc-weighted graph searching|
Y Xia, SS Chandra, C Engstrom, MW Strudwick, S Crozier, J Fripp
Physics in Medicine & Biology 59 (23), 7245, 2014
|Automatic bone segmentation and bone-cartilage interface extraction for the shoulder joint from magnetic resonance images|
Z Yang, J Fripp, SS Chandra, A Neubert, Y Xia, M Strudwick, A Paproki, ...
Physics in Medicine & Biology 60 (4), 1441, 2015
|MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting|
JV Manjón, P Coupé, P Raniga, Y Xia, P Desmond, J Fripp, O Salvado
Computerized Medical Imaging and Graphics 69, 43-51, 2018
|HIST: HyperIntensity Segmentation Tool|
JV Manjón, P Coupé, P Raniga, Y Xia, J Fripp, O Salvado
International Workshop on Patch-based Techniques in Medical Imaging, 92-99, 2016
|Automated analysis of hip joint cartilage combining MR T2 and three‐dimensional fast‐spin‐echo images|
SS Chandra, R Surowiec, C Ho, Y Xia, C Engstrom, S Crozier, J Fripp
Magnetic resonance in medicine 75 (1), 403-413, 2016
|Automated 3D quantitative assessment and measurement of alpha angles from the femoral head-neck junction using MR imaging|
Y Xia, J Fripp, SS Chandra, D Walker, S Crozier, C Engstrom
Physics in Medicine & Biology 60 (19), 7601, 2015
|Development of an automated physical activity classification application for mobile phones.|
Y Xia, V Cheung, E Garcia, H Ding, M Karunaithi
Studies in health technology and informatics 168, 188-194, 2010
|Rates of age‐and amyloid β‐associated cortical atrophy in older adults with superior memory performance|
C Dang, N Yassi, KD Harrington, Y Xia, YY Lim, D Ames, SM Laws, ...
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 11 (1 …, 2019
|Automated MR hip bone segmentation|
Y Xia, S Chandra, O Salvado, J Fripp, R Schwarz, L Lauer, C Engstrom, ...
2011 International Conference on Digital Image Computing: Techniques and …, 2011
|Influence of comorbidity of cerebrovascular disease and amyloid-β on Alzheimer’s disease|
N Yassi, S Hilal, Y Xia, YY Lim, R Watson, H Kuijf, C Fowler, P Yates, ...
Journal of Alzheimer's Disease 73 (3), 897-907, 2020
|A lightweight rapid application development framework for biomedical image analysis|
SS Chandra, JA Dowling, C Engstrom, Y Xia, A Paproki, A Neubert, ...
Computer Methods and Programs in Biomedicine 164, 193-205, 2018
|A prospective cohort study of prodromal Alzheimer’s disease: Prospective Imaging Study of Ageing: Genes, Brain and Behaviour (PISA)|
MK Lupton, GA Robinson, RJ Adam, S Rose, GJ Byrne, O Salvado, ...
NeuroImage: Clinical 29, 102527, 2020
|Automatic segmentation of the glenohumeral cartilages from magnetic resonance images|
A Neubert, Z Yang, C Engstrom, Y Xia, MW Strudwick, SS Chandra, ...
Medical Physics 43 (10), 5370-5379, 2016
|In vivo microstructural heterogeneity of white matter lesions in healthy elderly and Alzheimer's disease participants using tissue compositional analysis of diffusion MRI data|
R Mito, T Dhollander, Y Xia, D Raffelt, O Salvado, L Churilov, CC Rowe, ...
NeuroImage: Clinical, 102479, 2020
|Investigating microstructural heterogeneity of white matter hyperintensities in Alzheimer’s disease using single-shell 3-tissue constrained spherical deconvolution|
R Mito, T Dhollander, D Raffelt, Y Xia, O Salvado, A Brodtmann, C Rowe, ...
Proc. Intl. Soc. Mag. Reson. Med, 135, 2018
|Automated cartilage segmentation from 3D MR images of hip joint using an ensemble of neural networks|
Y Xia, JV Manjón, C Engstrom, S Crozier, O Salvado, J Fripp
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
|Unilateral hip joint segmentation with shape priors learned from missing data|
S Chandra, Y Xia, C Engstrom, R Schwarz, L Lauer, S Crozier, O Salvado, ...
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1711-1714, 2012
|Fifteen Years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: Progress and Observations from 2,359 Older Adults Spanning the Spectrum from Cognitive Normality …|
C Fowler, SR Rainey-Smith, S Bird, J Bomke, P Bourgeat, BM Brown, ...
Journal of Alzheimer's Disease Reports 5 (1), 443-468, 2021