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Jurgen Fripp
Jurgen Fripp
Australian e-Health Research Centre CSIRO Computational Informatics
Verified email at csiro.au
Title
Cited by
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
10102010
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
3262012
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
2472010
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
2412012
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
2122009
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
1992011
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
1832013
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
1732017
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
1442007
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
1382020
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
1362015
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
1312014
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
1252019
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
1212012
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
1172012
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
1122009
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
1032015
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
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
882020
Basal forebrain atrophy correlates with amyloid β burden in Alzheimer's disease
GM Kerbler, J Fripp, CC Rowe, VL Villemagne, O Salvado, S Rose, ...
NeuroImage: Clinical 7, 105-113, 2015
882015
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