Jurgen Fripp

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Pierrick BourgeatCSIRO eHealth Research Centre - Biomedical Informatics Group – Image analysis Team , AustraliaDirección de correo verificada de csiro.au
Olivier SalvadoQueensland University of Technology (QUT)Dirección de correo verificada de qut.edu.au
Vincent DoréCSIRO eHealth - Biomedical Informatics Group – Medical Image Analysis TeamDirección de correo verificada de csiro.au
Stuart CrozierThe University of QueenslandDirección de correo verificada de itee.uq.edu.au
Parnesh RanigaCSIRODirección de correo verificada de csiro.au
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonDirección de correo verificada de kcl.ac.uk
Shekhar "Shakes" ChandraUniversity of QueenslandDirección de correo verificada de uq.edu.au
Ying XiaResearch Scientist, CSIRODirección de correo verificada de csiro.au
Jason A. DowlingCommonwealth Scientific and Industrial Research Organisation (CSIRO), AustraliaDirección de correo verificada de csiro.au
Kaikai SHENCSIRO; Macquarie University; Rapiscan SystemsDirección de correo verificada de mq.edu.au
Ales NeubertR&D Imaging Data Analysis Expert, Roche, SwitzerlandDirección de correo verificada de uqconnect.edu.au
Luping ZhouSchool of Electrical and Computer Engineering, University of SydneyDirección de correo verificada de sydney.edu.au
Anthony PaprokiResearch FellowDirección de correo verificada de uqconnect.edu.au
Soumya GhosePrincipal Scientist - Artificial Intelligence, GE HealthCareDirección de correo verificada de ge.com
Simon Keith WarfieldN. Thorne Griscom Chair and Professor of Radiology, Harvard Medical School, Boston Children'sDirección de correo verificada de crl.med.harvard.edu
Jhimli MitraPrincipal Scientist - Computer Vision, GE HealthCare Technology & Innovation CenterDirección de correo verificada de ge.com
David Rivest-HénaultCommonwealth Scientific and Industrial Research Organisation (CSIRO), AustraliaDirección de correo verificada de csiro.au
Dr Xavier SiraultScience Leader - CSIRO Agriculture & FoodDirección de correo verificada de csiro.au
Robert FurbankProfessor of Translational Photosynthesis Australian National UniversityDirección de correo verificada de anu.edu.au
Josien PluimProfessor of Medical Image Analysis, Eindhoven University of Technology / UMC UtrechtDirección de correo verificada de tue.nl

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Jurgen Fripp

Australian e-Health Research Centre CSIRO

Dirección de correo verificada de csiro.au


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1136	2010
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	403	2020
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	377	2012
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	298	2012
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	296	2011
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	272	2019
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	267	2020
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	259	2017
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	257	2010
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	232	2009
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	213	2013
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	180	2015
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	162	2018
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	162	2014
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	160	2007
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	141	2018
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	134	2015
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	134	2012
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	132	2012
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	126	2021

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