Follow
Jurgen Fripp
Jurgen Fripp
Australian e-Health Research Centre CSIRO
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
11382010
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
4072020
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
3772012
A novel mesh processing based technique for 3D plant analysis
A Paproki, X Sirault, S Berry, R Furbank, J Fripp
BMC plant biology 12, 1-13, 2012
2992012
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
2962011
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
2752019
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
2672020
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
2612017
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
2572010
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
2322009
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
2132013
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
1802015
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
1642018
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
1632014
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
1602007
3D cGAN based cross-modality MR image synthesis for brain tumor segmentation
B Yu, L Zhou, L Wang, J Fripp, P Bourgeat
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
1412018
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
1342015
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
1342012
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
1332012
The Brain Chart of Aging: machine‐learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 …
M Habes, R Pomponio, H Shou, J Doshi, E Mamourian, G Erus, ...
Alzheimer's & Dementia 17 (1), 89-102, 2021
1272021
The system can't perform the operation now. Try again later.
Articles 1–20