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Jurgen Fripp
Jurgen Fripp
Australian e-Health Research Centre CSIRO Computational Informatics
Verified email at csiro.au
Title
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Cited by
Year
Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging
CC Rowe, KA Ellis, M Rimajova, P Bourgeat, KE Pike, G Jones, J Fripp, ...
Neurobiology of aging 31 (8), 1275-1283, 2010
10272010
An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy
JA Dowling, J Lambert, J Parker, O Salvado, J Fripp, A Capp, C Wratten, ...
International Journal of Radiation Oncology* Biology* Physics 83 (1), e5-e11, 2012
3342012
A novel mesh processing based technique for 3D plant analysis
A Paproki, X Sirault, S Berry, R Furbank, J Fripp
BMC plant biology 12 (1), 1-13, 2012
2492012
β-Amyloid burden in the temporal neocortex is related to hippocampal atrophy in elderly subjects without dementia
P Bourgeat, G Chetelat, VL Villemagne, J Fripp, P Raniga, K Pike, ...
Neurology 74 (2), 121-127, 2010
2492010
Automatic segmentation and quantitative analysis of the articular cartilages from magnetic resonance images of the knee
J Fripp, S Crozier, SK Warfield, S Ourselin
IEEE transactions on medical imaging 29 (1), 55-64, 2009
2152009
Symmetric diffeomorphic registration of fibre orientation distributions
D Raffelt, JD Tournier, J Fripp, S Crozier, A Connelly, O Salvado
Neuroimage 56 (3), 1171-1180, 2011
2122011
Cerebral quantitative susceptibility mapping predicts amyloid-β-related cognitive decline
S Ayton, A Fazlollahi, P Bourgeat, P Raniga, A Ng, YY Lim, I Diouf, ...
Brain 140 (8), 2112-2119, 2017
1902017
Cross-sectional and longitudinal analysis of the relationship between Aβ deposition, cortical thickness, and memory in cognitively unimpaired individuals and in Alzheimer disease
V Doré, VL Villemagne, P Bourgeat, J Fripp, O Acosta, G Chetélat, L Zhou, ...
JAMA neurology 70 (7), 903-911, 2013
1852013
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
1682020
Automatic segmentation of the bone and extraction of the bone–cartilage interface from magnetic resonance images of the knee
J Fripp, S Crozier, SK Warfield, S Ourselin
Physics in Medicine & Biology 52 (6), 1617, 2007
1462007
Ea-GANs: edge-aware generative adversarial networks for cross-modality MR image synthesis
B Yu, L Zhou, L Wang, Y Shi, J Fripp, P Bourgeat
IEEE transactions on medical imaging 38 (7), 1750-1762, 2019
1422019
Automatic substitute computed tomography generation and contouring for magnetic resonance imaging (MRI)-alone external beam radiation therapy from standard MRI sequences
JA Dowling, J Sun, P Pichler, D Rivest-Hénault, S Ghose, H Richardson, ...
International Journal of Radiation Oncology* Biology* Physics 93 (5), 1144-1153, 2015
1422015
Lesion segmentation from multimodal MRI using random forest following ischemic stroke
J Mitra, P Bourgeat, J Fripp, S Ghose, S Rose, O Salvado, A Connelly, ...
NeuroImage 98, 324-335, 2014
1392014
Automated detection, 3D segmentation and analysis of high resolution spine MR images using statistical shape models
A Neubert, J Fripp, C Engstrom, R Schwarz, L Lauer, O Salvado, ...
Physics in Medicine & Biology 57 (24), 8357, 2012
1242012
Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models
K Shen, J Fripp, F Mériaudeau, G Chételat, O Salvado, P Bourgeat, ...
Neuroimage 59 (3), 2155-2166, 2012
1222012
Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian–Eulerian PDE approach using partial volume maps
O Acosta, P Bourgeat, MA Zuluaga, J Fripp, O Salvado, S Ourselin, ...
Medical image analysis 13 (5), 730-743, 2009
1152009
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, IM Nasrallah, M Truelove-Hill, ...
Brain 143 (7), 2312-2324, 2020
1092020
Comparison of MR-less PiB SUVR quantification methods
P Bourgeat, VL Villemagne, V Dore, B Brown, SL Macaulay, R Martins, ...
Neurobiology of aging 36, S159-S166, 2015
1042015
A systematic review of structural MRI biomarkers in autism spectrum disorder: A machine learning perspective
AM Pagnozzi, E Conti, S Calderoni, J Fripp, SE Rose
International Journal of Developmental Neuroscience 71, 68-82, 2018
962018
Appearance modeling of 11C PiB PET images: characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging
J Fripp, P Bourgeat, O Acosta, P Raniga, M Modat, KE Pike, G Jones, ...
Neuroimage 43 (3), 430-439, 2008
962008
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