J. Fripp

发表

Automatic Segmentation of Articular Cartilage in Magnetic Resonance Images of the Knee

Stuart Crozier, Sébastien Ourselin, Jurgen Fripp, 2007, MICCAI.

Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression

L. Cohen, François-Xavier Vialard, L. Risser, 2014, NeuroImage: Clinical.

Automatic hip cartilage segmentation from 3D MR images using arc-weighted graph searching

J. Fripp, S. Crozier, M. Strudwick, 2014, Physics in medicine and biology.

A novel mesh processing based technique for 3D plant analysis

J. Fripp, R. Furbank, A. Paproki, 2012, BMC Plant Biology.

Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference

Marcela I Cespedes, Marcela I. Cespedes, K. Mengersen, 2017, BMJ Open.

Fixel-based analysis reveals alterations is brain microstructure and macrostructure of preterm-born infants at term equivalent age

S. Rose, P. Colditz, J. Fripp, 2018, NeuroImage: Clinical.

Symmetric diffeomorphic registration of fibre orientation distributions

Stuart Crozier, Olivier Salvado, Jurgen Fripp, 2011, NeuroImage.

Automated segmentation and analysis of normal and osteoarthritic knee menisci from magnetic resonance images--data from the Osteoarthritis Initiative.

J. Fripp, S. Crozier, S. Chandra, 2014, Osteoarthritis and cartilage.

Automated 3D quantitative assessment and measurement of alpha angles from the femoral head-neck junction using MR imaging

J. Fripp, S. Crozier, Ying Xia, 2015, Physics in medicine and biology.

The need for improved brain lesion segmentation techniques for children with cerebral palsy: A review

J. Fripp, N. Dowson, R. Boyd, 2015, International Journal of Developmental Neuroscience.

Understanding the impact of bilateral brain injury in children with unilateral cerebral palsy

S. Rose, J. Fripp, K. Pannek, 2020, Human brain mapping.

Exemplars of Artificial Intelligence and Machine Learning in Healthcare

Laurence O. W. Wilson, Alejandro Metke Jimenez, D. Silvera, 2020 .

A systematic review of structural MRI biomarkers in autism spectrum disorder: A machine learning perspective

S. Rose, J. Fripp, S. Calderoni, 2018, International Journal of Developmental Neuroscience.

Localization of Hippocampal atrophy in Alzheimer's disease

F. Mériaudeau, G. Chételat, J. Fripp, 2011, Alzheimer's & Dementia.

Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging

C. Rowe, C. Masters, C. Szoeke, 2010, Neurobiology of Aging.

Automated (11)C-PiB standardized uptake value ratio.

S. Ourselin, C. Rowe, C. Masters, 2008, Academic radiology.

Rates of age- and amyloid β-associated cortical atrophy in older adults with superior memory performance

P. Snyder, C. Rowe, C. Masters, 2019, Alzheimer's & dementia.

β-Amyloid burden in the temporal neocortex is related to hippocampal atrophy in elderly subjects without dementia

S Ourselin, V L Villemagne, J Fripp, 2010, Neurology.

An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy.

Olivier Salvado, Jurgen Fripp, Jason A Dowling, 2012, International journal of radiation oncology, biology, physics.

Automatic Substitute Computed Tomography Generation and Contouring for Magnetic Resonance Imaging (MRI)-Alone External Beam Radiation Therapy From Standard MRI Sequences.

Jurgen Fripp, Soumya Ghose, David Rivest-Hénault, 2015, International journal of radiation oncology, biology, physics.

Automatic substitute CT generation and contouring for MRI-alone external beam radiation therapy from standard MRI sequences

Jurgen Fripp, Peter B. Greer, Soumya Ghose, 2015 .

A magnetic resonance imaging‐based workflow for planning radiation therapy for prostate cancer

Olivier Salvado, Jurgen Fripp, Jason A Dowling, 2011, The Medical journal of Australia.

Heritability and genetic correlation between the cerebral cortex and associated white matter connections

Olivier Salvado, Jurgen Fripp, Vincent Doré, 2016, Human brain mapping.

Cerebral quantitative susceptibility mapping predicts amyloid-&bgr;-related cognitive decline

Olivier Salvado, Jurgen Fripp, Pierrick Bourgeat, 2017, Brain : a journal of neurology.

Extent of altered white matter in unilateral and bilateral periventricular white matter lesions in children with unilateral cerebral palsy.

L. Reid, S. Rose, J. Fripp, 2016, Research in developmental disabilities.

PPREMO: a prospective cohort study of preterm infant brain structure and function to predict neurodevelopmental outcome

Jurgen Fripp, Stephen E. Rose, Kerstin Pannek, 2015, BMC Pediatrics.

Efficicient brain lesion segmentation using multimodality tissue-based feature selection and Support Vector Machines

L. Cohen, J. Fripp, Jean-Baptiste Fiot, 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 harmonized MR scans

Sterling C. Johnson, M. Albert, J. Morris, 2020, Alzheimer's & dementia : the journal of the Alzheimer's Association.

PREMM: preterm early massage by the mother: protocol of a randomised controlled trial of massage therapy in very preterm infants

R. Ware, S. Rose, P. Colditz, 2016, BMC Pediatrics.

OPTIMIZING MULTISCALE GAUSSIAN KERNELS FOR GAUSSIAN PROCESS BASED LIVER SHAPE RECONSTRUCTION

J. Fripp, S. Crozier, S. Chandra, 2015 .

The Use of Unwrapped Phase in MR Image Segmentation: A Preliminary Study

Stuart Crozier, Sébastien Ourselin, Andrew L. Janke, 2005, MICCAI.

Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease

Olivier Salvado, Jurgen Fripp, Vincent Doré, 2012, Journal of Neuroscience Methods.

Cross-sectional and Longitudinal Analysis of the Relationship Between A β Deposition , Cortical Thickness , andMemory in Cognitively Unimpaired Individuals and in Alzheimer Disease

C. Rowe, C. Masters, D. Ames, 2013 .

Ac ce pt ed M an us cr ip t Statistical shape model reconstruction with sparse anomalous deformations : application to intervertebral disc herniation

M. Weber, J. Fripp, S. Crozier, 2015 .

Early clinical and MRI biomarkers of cognitive and motor outcomes in very preterm born infants

R. Ware, S. Rose, M. Chatfield, 2021, Pediatric Research.

Investigating brain connectivity heritability in a twin study using diffusion imaging data

Paul M. Thompson, Olivier Salvado, Jurgen Fripp, 2014, NeuroImage.

Differential Effects of APOE and Modifiable Risk Factors on Hippocampal Volume Loss and Memory Decline in Aβ− and Aβ+ Older Adults

C. Rowe, R. Martins, C. Masters, 2022, Neurology.

Comparison of 3D bone models of the knee joint derived from CT and 3T MR imaging.

Nicholas S. Johnson, Rachel K. Surowiec, J. Fripp, 2017, European journal of radiology.

Higher Coffee Consumption Is Associated With Slower Cognitive Decline and Less Cerebral Aβ-Amyloid Accumulation Over 126 Months: Data From the Australian Imaging, Biomarkers, and Lifestyle Study

C. Rowe, R. Martins, C. Masters, 2021, Frontiers in Aging Neuroscience.

Automatic Generation of 3D Statistical Shape Models of the Knee Bones

Stuart Crozier, Jurgen Fripp, Simon K. Warfield, 2005 .

Predicting Poststroke Depression from Brain Connectivity

S. Rose, B. Campbell, J. Fripp, 2014 .

Reduced cortical cholinergic innervation measured using [18F]-FEOBV PET imaging correlates with cognitive decline in mild cognitive impairment

J. Fripp, Ying Xia, V. Villemagne, 2022, NeuroImage: Clinical.

Comorbidity of Cerebrovascular and Alzheimer's Disease in Aging.

C. Rowe, R. Martins, C. Masters, 2020, Journal of Alzheimer's disease : JAD.

Automated T2-mapping of the Menisci From Magnetic Resonance Images in Patients with Acute Knee Injury.

Rachel K. Surowiec, J. Fripp, S. Crozier, 2017, Academic radiology.

Protocol for a multisite randomised trial of Hand–Arm Bimanual Intensive Training Including Lower Extremity training for children with bilateral cerebral palsy: HABIT-ILE Australia

R. Ware, M. Chatfield, J. Fripp, 2019, BMJ Open.

Automated 3D Analysis of Clinical Magnetic Resonance Images Demonstrates Significant Reductions in Cam Morphology Following Arthroscopic Intervention in Contrast to Physiotherapy

Craig B. Engstrom, J. Fripp, S. Crozier, 2022, Arthroscopy, sports medicine, and rehabilitation.

High‐resolution multi‐T1–weighted contrast and T1 mapping with low B1>+ sensitivity using the fluid and white matter suppression (FLAWS) sequence at 7T

J. Fripp, H. Saint-Jalmes, G. Gambarota, 2020, Magnetic resonance in medicine.

Comprehensive analysis of epigenetic clocks reveals associations between disproportionate biological ageing and hippocampal volume

Sterling C. Johnson, Keith A. Johnson, Raymond Scott Turner, 2022, GeroScience.

Midsagittal corpus callosum area and conversion to multiple sclerosis after clinically isolated syndrome: A multicentre Australian cohort study

K. Dear, A. Ponsonby, J. Fripp, 2017, Journal of medical imaging and radiation oncology.

Advances in structural and molecular neuroimaging in Alzheimer's disease

C. Rowe, R. Martins, C. Masters, 2011, The Medical journal of Australia.

Association of deficits in short-term learning and Aβ and hippocampal volume in cognitively normal adults

C. Masters, P. Maruff, D. Ames, 2020, Neurology.

Assessment of a polygenic hazard score for the onset of pre-clinical Alzheimer’s disease

C. Rowe, C. Masters, J. Fripp, 2022, BMC Genomics.

Comparison of 18F-florbetaben quantification results using the standard Centiloid, MR-based, and MR-less CapAIBL® approaches: Validation against histopathology

C. Rowe, S. Santi, C. Masters, 2019, Alzheimer's & Dementia.

CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Rodrigo Santa Cruz, C. Fookes, J. Fripp, 2022, ArXiv.

Rates of regional tau accumulation in ageing and across the Alzheimer's disease continuum: an AIBL 18F-MK6240 PET study

Joanne S. Robertson, C. Rowe, C. Masters, 2022, medRxiv.

Manifold drived MR-less PiB SUVR normalisation

C. Rowe, R. Martins, C. Masters, 2012 .

Multimodality Imaging Population Analysis using Manifold Learning

L. Cohen, J. Fripp, Jean-Baptiste Fiot, 2011 .

Three-dimensional morphological and signal intensity features for detection of intervertebral disc degeneration from magnetic resonance images

M. Weber, J. Fripp, S. Crozier, 2013 .

Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T

Thomas B. Shaw, R. Henderson, J. Fripp, 2022, J. Open Source Softw..

Multi T1-weighted contrast MRI with fluid and white matter suppression at 1.5 T.

T. Kober, J. Fripp, O. Salvado, 2019, Magnetic resonance imaging.

Automating Quantitative Measures of an Established Conventional MRI Scoring System for Preterm-Born Infants Scanned between 29 and 47 Weeks' Postmenstrual Age

P. Colditz, J. Fripp, A. Coulthard, 2021, American Journal of Neuroradiology.

Non-Rigid Registration of Diffusion Weighted Images using Fibre Orientation Distributions

A. Connelly, J. Tournier, N. Lepore, 2008 .

Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods

Andrew P. Bradley, C. Fookes, J. Fripp, 2022, Medical Image Anal..

The relationship between chronic PTSD, cortical volumetry and white matter microstructure among Australian combat veterans

J. Fripp, K. Pannek, Ying Xia, 2022, Military Medical Research.

Assessing Reactive Astrogliosis with 18F-SMBT-1 Across the Alzheimer Disease Spectrum

C. Rowe, J. Fripp, S. Burnham, 2022, The Journal of Nuclear Medicine.

CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Rodrigo Santa Cruz, C. Fookes, J. Fripp, 2022, MICCAI.

Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis

J. Fripp, S. Crozier, P. Greer, 2020, ArXiv.

Relationship between white matter integrity and neurological function in preterm infants at 30 weeks postmenstrual age

S. Rose, P. Colditz, J. Fripp, 2015 .

Genetic, Clinical Underpinnings of Brain Change Along Two Neuroanatomical Dimensions of Clinically-defined Alzheimer’s Disease

Sterling C. Johnson, Ashutosh Kumar Singh, Timothy J. Hohman, 2023, bioRxiv.

Trans-ResNet: Integrating Transformers and CNNs for Alzheimer’s disease classification

Yong Liu, J. Fripp, Yue Cui, 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks

Olivier Salvado, Pierrick Bourgeat, Jurgen Fripp, 2016, NeuroImage.

An efficient algorithm for estimating brain covariance networks

Jurgen Fripp, Kerrie Mengersen, James McGree, 2018, PloS one.

Universal Medical Image Segmentation using 3D Fabric Image Representation Encoding Networks

Craig B. Engstrom, J. Fripp, S. Crozier, 2022 .

Robust inverse-consistent affine CT-MR registration in MRI-assisted and MRI-alone prostate radiation therapy

Jurgen Fripp, David Rivest-Hénault, Jason A Dowling, 2015, Medical Image Anal..

β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3

J. Morris, C. Rowe, C. Masters, 2022, NeuroImage.

Lower hypothalamic volume with lower body mass index is associated with shorter survival in patients with amyotrophic lateral sclerosis

Thomas B. Shaw, C. Guo, J. Fripp, 2022, European journal of neurology.

Shape based segmentation of MRIs of the knee using phase and magnitude information

Stuart Crozier, Jurgen Fripp, Sebastien Ourselin, 2007 .

Moderators, Mediators, and Prognostic Indicators of Treatment With Hip Arthroscopy or Physical Therapy for Femoroacetabular Impingement Syndrome: Secondary Analyses From the Australian FASHIoN Trial

S. Grieve, E. Dickenson, S. Reichenbach, 2022, The American journal of sports medicine.

Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants

P. Colditz, J. Fripp, M. Fahey, 2022, NeuroImage.

Predicting fluid intelligence in adolescence from structural MRI with deep learning methods

J. Fripp, D. Bradford, Susmita Saha, 2021 .

A prospective cohort study of prodromal Alzheimer’s disease: Prospective Imaging Study of Ageing: Genes, Brain and Behaviour (PISA)

Michelle K. Lupton, M. Breakspear, J. Lv, 2020, NeuroImage: Clinical.

A snapshot of brain and cognition in healthy mid-life and older adults

Michelle K. Lupton, C. Rowe, M. Breakspear, 2022, bioRxiv.

Fully automated delineation of the optic radiation for surgical planning using clinically feasible sequences

L. Reid, J. Manjón, J. Fripp, 2021, Human brain mapping.

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

Christos Davatzikos, Sterling C. Johnson, Ilya M. Nasrallah, 2019, NeuroImage.

Comparison of MR-less PiB SUVR quantification methods

C. Rowe, C. Masters, D. Ames, 2015, Neurobiology of Aging.

Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis

Laurent D. Cohen, Jurgen Fripp, François-Xavier Vialard, 2012, STIA.

Combining imaging and clinical data in manifold learning: Distance-based and graph-based extensions of Laplacian Eigenmaps

Laurent D. Cohen, Jurgen Fripp, Jean-Baptiste Fiot, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Focused shape models for hip joint segmentation in 3D magnetic resonance images

Stuart Crozier, Jurgen Fripp, Ying Xia, 2014, Medical Image Anal..

Anatomical hubs from spectral clustering of structural connectomes

Olivier Salvado, Jurgen Fripp, Stephen E. Rose, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model

S. Rose, P. Colditz, J. Fripp, 2020, NeuroImage.

MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting

Pierrick Coupé, Olivier Salvado, Jurgen Fripp, 2018, Comput. Medical Imaging Graph..

HIST: HyperIntensity Segmentation Tool

Pierrick Coupé, Olivier Salvado, Jurgen Fripp, 2016, Patch-MI@MICCAI.

Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge

D. Louis Collins, Sébastien Ourselin, M. Jorge Cardoso, 2015, NeuroImage.

A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure

J. Morris, S. Resnick, C. Davatzikos, 2021, Nature Communications.

Avoiding data loss: Synthetic MRIs generated from diffusion imaging can replace corrupted structural acquisitions for freesurfer-seeded tractography

Jurgen Fripp, Lee B. Reid, Giulio Gambarota, 2021, bioRxiv.

Plasma p217+tau versus NAV4694 amyloid and MK6240 tau PET across the Alzheimer's continuum

Joanne S. Robertson, C. Rowe, R. Martins, 2022, Alzheimer's & dementia.

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

Hao Chen, Chengwen Chu, Pheng-Ann Heng, 2017, Medical Image Anal..

Discrete element and finite element methods provide similar estimations for hip joint contact mechanics during walking gait.

Stuart Crozier, Mao Li, Jurgen Fripp, 2020, Journal of biomechanics.

Prediction of childhood brain outcomes in infants born preterm using neonatal MRI and concurrent clinical biomarkers (PREBO-6): study protocol for a prospective cohort study

R. Ware, S. Rose, K. Barlow, 2020, BMJ Open.

Asymmetric thinning of the cerebral cortex across the adult lifespan is accelerated in Alzheimer’s disease

Blaine R. Roberts, Denise C. Park, Joanne S. Robertson, 2020, Nature Communications.

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering

Sterling C. Johnson, S. T. Govindarajan, L. Ferrucci, 2023, ArXiv.

Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture

Blaine R. Roberts, Joanne S. Robertson, R. Marioni, 2020, Nature Communications.

Automatic bone segmentation and bone-cartilage interface extraction for the shoulder joint from magnetic resonance images

Stuart Crozier, Jurgen Fripp, Ying Xia, 2015, Physics in medicine and biology.

Automatic segmentation of the glenohumeral cartilages from magnetic resonance images.

S Crozier, A Neubert, Z Yang, 2016, Medical physics.

A Conformational Variant of p53 (U-p53AZ) as Blood-Based Biomarker for the Prediction of the Onset of Symptomatic Alzheimer’s Disease

C. Xiong, C. Masters, J. Fripp, 2021, The Journal of Prevention of Alzheimer's Disease.

Deep Generative Medical Image Harmonization for Improving Cross‐Site Generalization in Deep Learning Predictors

Sterling C. Johnson, J. Morris, H. Völzke, 2021, Journal of magnetic resonance imaging : JMRI.

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging pdf

Christos Davatzikos, John C. Morris, Sterling C. Johnson, 2020, ArXiv.

MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide.

Christos Davatzikos, Sterling C. Johnson, Mohamad Habes, 2020, Brain : a journal of neurology.

A Bayesian Hierarchical Approach to Jointly Model Cortical Thickness and Covariance Networks

Christopher C. Drovandi, Kerrie Mengersen, Jurgen Fripp, 2020, Case Studies in Applied Bayesian Data Science.

Effectiveness of Curcuma longa Extract for the Treatment of Symptoms and Effusion–Synovitis of Knee Osteoarthritis

J. Fripp, L. Laslett, T. Winzenberg, 2020, Annals of Internal Medicine.

Harmonization of large multi-site imaging datasets: Application to 10,232 MRIs for the analysis of imaging patterns of structural brain change throughout the lifespan

Christos Davatzikos, Russell T. Shinohara, Yong Fan, 2019, bioRxiv.

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 to Alzheimer’s Disease

Joanne S. Robertson, C. Rowe, R. Martins, 2021, Journal of Alzheimer's disease reports.

Basal Forebrain Atrophy Contributes to Allocentric Navigation Impairment in Alzheimer’s Disease Patients

Georg M. Kerbler, S. Rose, J. Laczó, 2015, Front. Aging Neurosci..

Basal forebrain atrophy correlates with amyloid β burden in Alzheimer's disease

Olivier Salvado, Christopher C Rowe, Stephen Rose, 2014, NeuroImage: Clinical.

Association of β-Amyloid Level, Clinical Progression, and Longitudinal Cognitive Change in Normal Older Individuals

Joanne S. Robertson, C. Rowe, R. Martins, 2020, Neurology.

Tau Imaging with 18F-MK6240 across the Alzheimer's Disease spectrum

J. Fripp, S. Burnham, S. Laws, 2022, medRxiv.

Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL

Olivier Salvado, Jurgen Fripp, Vincent Doré, 2018, NeuroImage.

Relationship between amyloid and tau levels and its impact on tau spreading

C. Rowe, C. Masters, J. Fripp, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Diminished white matter integrity four decades after traumatic brain injury in Vietnam War veterans

C. Rowe, J. Ponsford, J. Fripp, 2021, GLOBAL PSYCHIATRY ARCHIVES.

Quantifying deep grey matter atrophy using automated segmentation approaches: A systematic review of structural MRI studies

Jurgen Fripp, Stephen E. Rose, Alex M. Pagnozzi, 2019, NeuroImage.

Cross-sectional and longitudinal analysis of the relationship between Aβ deposition, cortical thickness, and memory in cognitively unimpaired individuals and in Alzheimer disease.

Jurgen Fripp, Luping Zhou, Vincent Doré, 2013, JAMA neurology.

Plasma Glial Fibrillary Acidic Protein Is Associated with 18F-SMBT-1 PET: Two Putative Astrocyte Reactivity Biomarkers for Alzheimer’s Disease

C. Rowe, R. Martins, C. Masters, 2023, Journal of Alzheimer's disease : JAD.

Plasma p‐tau181/Aβ1‐42 ratio predicts Aβ‐PET status and correlates with CSF‐p‐tau181/Aβ1‐42 and future cognitive decline

C. Rowe, R. Martins, C. Masters, 2022, medRxiv.

The Tau MeTeR composites for the generation of continuous and categorical measures of tau deposits in the brain

C. Rowe, C. Masters, J. Fripp, 2017 .

Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis

Yinghuan Shi, Jurgen Fripp, Luping Zhou, 2019, IEEE Transactions on Medical Imaging.

Functional re-organization of hippocampal-cortical gradients during naturalistic memory processes

Michelle K. Lupton, M. Breakspear, Bryan Paton, 2023, NeuroImage.

Structural core of the executive control network: A high angular resolution diffusion MRI study

Jurgen Fripp, Thomas Welton, Stuart M Grieve, 2019, Human brain mapping.

APOE ε2 resilience for Alzheimer's disease is mediated by plasma lipid species: Analysis of three independent cohort studies

C. Rowe, A. Saykin, J. Hui, 2022, Alzheimer's & dementia : the journal of the Alzheimer's Association.

Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease

Jurgen Fripp, Xiaoyun Liang, Alan Connelly, 2019, Journal of magnetic resonance imaging : JMRI.

Plasma transferrin and hemopexin are associated with altered Aβ uptake and cognitive decline in Alzheimer’s disease pathology

C. Rowe, R. Martins, C. Masters, 2020, Alzheimer's Research & Therapy.

Alzheimer's disease detection using 11C-PiB with improved partial volume effect correction

Jurgen Fripp, Sebastien Ourselin, Pierrick Bourgeat, 2009, Medical Imaging.

Appearance modeling of 11C PiB PET images: Characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging

Sébastien Ourselin, Olivier Salvado, Marc Modat, 2008, NeuroImage.

Relationship between very early brain structure and neuromotor, neurological and neurobehavioral function in infants born <31 weeks gestational age.

R. Ware, S. Rose, P. Colditz, 2018, Early human development.

Longitudinal Trajectories in Cortical Thickness and Volume Atrophy: Superior Cognitive Performance Does Not Protect Against Brain Atrophy in Older Adults.

C. Rowe, R. Martins, C. Masters, 2021, Journal of Alzheimer's disease : JAD.

A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping

Olivier Salvado, Jurgen Fripp, Pierrick Bourgeat, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Plasma p217+tau vs NAV4694 amyloid and MK6240 tau PET across the Alzheimer continuum.

Joanne S. Robertson, C. Rowe, R. Martins, 2022, medRxiv.

CenTauR: Toward a universal scale and masks for standardizing tau imaging studies

D. Minhas, C. Rowe, B. Lopresti, 2023, Alzheimer's & dementia.

Learning deficit in cognitively normal APOE ε4 carriers with LOW β‐amyloid

C. Masters, P. Maruff, D. Ames, 2021, Alzheimer's & dementia.

Correlation between white matter hyperintensities in MRI-FLAIR and 11C-PiB PET retention. A new potential for early identification of disease

S. Ourselin, C. Rowe, C. Szoeke, 2009, Alzheimer's & Dementia.

Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis

Yinghuan Shi, Luping Zhou, Pierrick Bourgeat, 2020, IEEE Transactions on Medical Imaging.

AUTOMATED REPORTING OF TAU PET QUANTIFICATION ON THE BRAIN SURFACE

C. Rowe, R. Martins, C. Masters, 2019, Alzheimer's & Dementia.

Structure-Guided Nonrigid Registration of CT-MR Pelvis Scans with Large Deformations in MR-Based Image Guided Radiation Therapy

Peter B. Greer, Jurgen Fripp, David Rivest-Hénault, 2013, CLIP.

3D cGAN based cross-modality MR image synthesis for brain tumor segmentation

Lei Wang, Jurgen Fripp, Luping Zhou, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Validation of an MRI Brain Injury and Growth Scoring System in Very Preterm Infants Scanned at 29- to 35-Week Postmenstrual Age

A. Guzzetta, R. Ware, S. Rose, 2017, American Journal of Neuroradiology.

Evaluation of Brain-Body Health in Individuals With Common Neuropsychiatric Disorders.

Michelle K. Lupton, M. Breakspear, A. Zalesky, 2023, JAMA psychiatry.

Quantifiable Imaging Biomarkers for Evaluation of the Posterior Cruciate Ligament Using 3-T Magnetic Resonance Imaging

Rachel K. Surowiec, J. Fripp, R. LaPrade, 2016, Orthopaedic journal of sports medicine.

Automated detection, 3D segmentation and analysis of high resolution spine MR images using statistical shape models

S Crozier, A Neubert, J Fripp, 2012, Physics in medicine and biology.

Segmentation of the bones in MRIs of the knee using phase, magnitude, and shape information.

Stuart Crozier, Jurgen Fripp, Sebastien Ourselin, 2007, Academic radiology.

MR image segmentation of the knee bone using phase information

Sébastien Ourselin, Jurgen Fripp, Pierrick Bourgeat, 2007, Medical Image Anal..

Automatic segmentation of the bone and extraction of the bone–cartilage interface from magnetic resonance images of the knee

Stuart Crozier, Sébastien Ourselin, Jurgen Fripp, 2007, Physics in medicine and biology.

Automatic Segmentation and Quantitative Analysis of the Articular Cartilages From Magnetic Resonance Images of the Knee

Stuart Crozier, Sébastien Ourselin, Jurgen Fripp, 2010, IEEE Transactions on Medical Imaging.

No Influence of Age-Related Hearing Loss on Brain Amyloid-β

C. Masters, P. Maruff, J. Fripp, 2021, Journal of Alzheimer's disease : JAD.

Quantitative mapping of acute and chronic PCL pathology with 3 T MRI: a prospectively enrolled patient cohort

J. Fripp, R. LaPrade, C. Engstrom, 2019, Journal of Experimental Orthopaedics.

Automatic model‐based semantic registration of multimodal MRI knee data

Jurgen Fripp, Ning Xue, Raphael Schwarz, 2015, Journal of magnetic resonance imaging : JMRI.

Using imputation to provide harmonized longitudinal measures of cognition across AIBL and ADNI

David A. Rolls, Joanne S. Robertson, D. Rolls, 2021, Scientific Reports.

Automated bone segmentation from large field of view 3D MR images of the hip joint

Stuart Crozier, Jurgen Fripp, Ying Xia, 2013, Physics in medicine and biology.

Cross-sectional associations between 24-hour time-use composition, grey matter volume and cognitive function in healthy older adults

M. Breakspear, T. Olds, F. Karayanidis, 2023, medRxiv.

Chronic white matter changes detected using diffusion tensor imaging following adult traumatic brain injury and their relationship to cognition.

J. Fripp, K. Pannek, S. Rose, 2020, Neuropsychology.

PET-only 18F-AV1451 tau quantification

Olivier Salvado, Jurgen Fripp, Vincent Doré, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Longitudinal evaluation of the natural history of amyloid-β in plasma and brain

C. Rowe, C. Masters, J. Fripp, 2020, Brain communications.

Non-linear realignment improves hippocampus subfield segmentation reliability

Olivier Salvado, Katie L. McMahon, Jurgen Fripp, 2019, NeuroImage.

Relative rate of change in cognitive score network dynamics via Bayesian hierarchical models reveal spatial patterns of neurodegeneration

Jurgen Fripp, Christopher C Drovandi, James M McGree, 2020, Statistics in medicine.

Leukocyte surface biomarkers implicate deficits of innate immunity in sporadic Alzheimer's disease

C. Rowe, J. Pickering, C. Masters, 2022, Alzheimer's & dementia : the journal of the Alzheimer's Association.

Automated segmentation and T2-mapping of the posterior cruciate ligament from MRI of the knee: Data from the osteoarthritis initiative

Stuart Crozier, Jurgen Fripp, Pierrick Bourgeat, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Lesion segmentation from multimodal MRI using random forest following ischemic stroke

Olivier Salvado, Jurgen Fripp, Alan Connelly, 2014, NeuroImage.

Can an online battery match in-person cognitive testing in predicting age-related cortical changes?

M. Breakspear, J. Fripp, R. Thienel, 2023, medRxiv.

Statistical shape model reconstruction with sparse anomalous deformations: Application to intervertebral disc herniation

Stuart Crozier, Jurgen Fripp, Marc-André Weber, 2015, Comput. Medical Imaging Graph..

3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps

Olivier Salvado, Clinton Fookes, Pierrick Bourgeat, 2020, SASHIMI@MICCAI.

The AIBL study group AIBL Biomarker Stream

C. Rowe, J. Fripp, N. Killeen, 2018 .

Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models

Olivier Salvado, Fabrice Mériaudeau, Pierrick Bourgeat, 2012, NeuroImage.

Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps

Sébastien Ourselin, Maria A. Zuluaga, Olivier Salvado, 2009, Medical Image Anal..

Automated MR Hip Bone Segmentation

Stuart Crozier, Olivier Salvado, Jurgen Fripp, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

Surface-Base Approach Using a Multi-scale EM-ICP Registration for Statistical Population Analysis

Olivier Salvado, Jurgen Fripp, Vincent Doré, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies

Vincent Doré, Pierrick Bourgeat, Colin L. Masters, 2020, NeuroImage.

Validity and reliability of computerized measurement of lumbar intervertebral disc height and volume from magnetic resonance images.

Stuart Crozier, Jurgen Fripp, Yaniv Gal, 2014, The spine journal : official journal of the North American Spine Society.

Research and applications: Three-dimensional morphological and signal intensity features for detection of intervertebral disc degeneration from magnetic resonance images

Stuart Crozier, Jurgen Fripp, Marc-André Weber, 2013, J. Am. Medical Informatics Assoc..

Segmentation of lumbar intervertebral discs from high-resolution 3D MR images using multi-level statistical shape models

Stuart Crozier, Jurgen Fripp, Craig Engstrom, 2014, MICCAI 2014.

Cross-Sectional and Longitudinal Comparison of Tau Imaging with ^18F-MK6240 and ^18F-Flortaucipir in Populations Matched for Age, MMSE and Brain Beta-Amyloid Burden

Alzheimer's Disease Neuroimaging Initiative, J. Fripp, V. Villemagne, 2023, The Journal of Prevention of Alzheimer's Disease.

Focal Ab-amyloid deposition precedes cerebral microbleeds and Superficial siderosis: a case report

C. Rowe, C. Masters, J. Fripp, 2017 .

CenTauRz: A standardized quantification of tau PET scans

C. Rowe, B. Lopresti, O. Hansson, 2022, Alzheimer's & Dementia.

Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants

P. Colditz, J. Fripp, M. Fahey, 2022, NeuroImage.

Non-Linear Realignment Improves Hippocampus Subfield Segmentation

Olivier Salvado, Jurgen Fripp, Steffen Bollmann, 2019, bioRxiv.

Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI

Olivier Salvado, Jurgen Fripp, Yongsheng Gao, 2018, SASHIMI@MICCAI.

Research and applications: MilxXplore: a web-based system to explore large imaging datasets

Olivier Salvado, Jurgen Fripp, Vincent Doré, 2013, J. Am. Medical Informatics Assoc..

Multi-centre randomised controlled trial comparing arthroscopic hip surgery to physiotherapist-led care for femoroacetabular impingement (FAI) syndrome on hip cartilage metabolism: the Australian FASHIoN trial

E. Dickenson, S. Reichenbach, J. Fripp, 2021, BMC Musculoskeletal Disorders.

Increasing Power to Predict Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Hippocampal Atrophy Rate and Statistical Shape Models

Olivier Salvado, Nick C. Fox, Jurgen Fripp, 2010, MICCAI.

Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance images

Stuart Crozier, Jurgen Fripp, Shekhar S. Chandra, 2021, Quantitative imaging in medicine and surgery.

MR-Less Surface-Based Amyloid Assessment Based on 11C PiB PET

Olivier Salvado, Jurgen Fripp, Luping Zhou, 2014, PloS one.

MR-Less High Dimensional Spatial Normalization of 11C PiB PET Images on a Population of Elderly, Mild Cognitive Impaired and Alzheimer Disease Patients

Olivier Salvado, Sébastien Ourselin, Pierrick Bourgeat, 2008, MICCAI.

A fixel‐based analysis of micro‐ and macro‐structural changes to white matter following adult traumatic brain injury

J. Fripp, K. Pannek, S. Rose, 2020, Human brain mapping.

3D Scanning System for Automatic High-Resolution Plant Phenotyping

Jurgen Fripp, Chuong V. Nguyen, Robert Furbank, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Automated Plant and Leaf Separation: Application in 3D Meshes of Wheat Plants

Jurgen Fripp, Kirill Frolov, Chuong V. Nguyen, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

On the Use of Coupled Shape Priors for Segmentation of Magnetic Resonance Images of the Knee

Jurgen Fripp, Eric L. Miller, José G. Tamez-Peña, 2015, IEEE Journal of Biomedical and Health Informatics.

Automatic MRI Atlas-Based External Beam Radiation Therapy Treatment Planning for Prostate Cancer

Sébastien Ourselin, Olivier Salvado, Jurgen Fripp, 2010, Prostate Cancer Imaging.

DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction pdf

Clinton Fookes, Pierrick Bourgeat, Jurgen Fripp, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

PlantScan™: a three-dimensional phenotyping platform for capturing the structural dynamic of plant development and growth

Jurgen Fripp, Chuong V. Nguyen, Peter Kuffner, 2013 .

COMPARISON OF 18F-FLORBETABEN QUANTIFICATION RESULTS USING MR-BASED AND MR-LESS CAPAIBL: VALIDATION AGAINST HISTOPATHOLOGY

C. Rowe, S. Santi, C. Masters, 2017, Alzheimer's & Dementia.

COMPARISON OF 18F-FLORBETABEN QUANTIFICATION RESULTS USING MR-BASED AND MR-LESS CAPAIBL: VALIDATION AGAINST HISTOPATHOLOGY

C. Rowe, S. Santi, C. Masters, 2017, Alzheimer's & Dementia.

Automated segmentation of the menisci from MR images

Stuart Crozier, Sébastien Ourselin, Olivier Salvado, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

3D Statistical Shape Models to Embed Spatial Relationship Information

Stuart Crozier, Sébastien Ourselin, Jurgen Fripp, 2005, CVBIA.

Fast automated segmentation of multiple objects via spatially weighted shape learning

Stuart Crozier, Jurgen Fripp, Peter Pichler, 2016, Physics in medicine and biology.

CapAIBL: Automated Reporting of Cortical PET Quantification Without Need of MRI on Brain Surface Using a Patch-Based Method

Olivier Salvado, Jurgen Fripp, Vincent Doré, 2016, Patch-MI@MICCAI.

Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images

Josien P. W. Pluim, Olivier Salvado, Jurgen Fripp, 2012, IEEE Transactions on Medical Imaging.

Brain microstructure and morphology of very preterm-born infants at term equivalent age: Associations with motor and cognitive outcomes at 1 and 2 years

Stephen E. Rose, Joanne George, Paul B. Colditz, 2020, NeuroImage.

MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection.

Jurgen Fripp, Soumya Ghose, Jhimli Mitra, 2016, Medical physics.

Automated 3D Segmentation and Analysis of Cotton Plants

Olivier Salvado, Jurgen Fripp, Robert Furbank, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation

Jurgen Fripp, Luping Zhou, Lei Wang, 2021, IEEE Transactions on Medical Imaging.

Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis

L. Cohen, François-Xavier Vialard, L. Risser, 2012, STIA.

Longitudinal evaluation of the natural history of amyloid-β in plasma and brain

C. Rowe, C. Masters, J. Fripp, 2020, Brain communications.

Disease progression modelling of Alzheimer’s disease using probabilistic principal components analysis

N. Faux, Timothy Baldwin, C. Masters, 2023, NeuroImage.

A blood-based biomarker panel indicates IL-10 and IL-12/23p40 are jointly associated as predictors of β-amyloid load in an AD cohort

Blaine R. Roberts, M. Fenech, P. Thomas, 2017, Scientific Reports.

When to Use Augmentation - Variability Insufficient for Cortical Thickness Estimation Improvement

Andrew P. Bradley, Rodrigo Santa Cruz, C. Fookes, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging

Olivier Salvado, Jurgen Fripp, Pierrick Bourgeat, 2018, MICCAI.

Computational analysis of PET by AIBL (CapAIBL): a cloud-based processing pipeline for the quantification of PET images

Olivier Salvado, Jurgen Fripp, Vincent Doré, 2015, Medical Imaging.

Classification Forests and Markov Random Field to Segment Chronic Ischemic Infarcts from Multimodal MRI

Olivier Salvado, Jurgen Fripp, Alan Connelly, 2013, MBIA.

Maximum Pseudolikelihood Estimation for Mixture-Markov Random Field Segmentation of the Brain

Jurgen Fripp, Ian A. Wood, Amy Chan, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Longitudinal trajectories of basal forebrain volume in normal aging and Alzheimer’s disease

C. Rowe, R. Martins, P. Maruff, 2023, Neurobiology of Aging.

Smocam: Smooth Conditional Attention Mask For 3d-Regression Models

Olivier Salvado, Jurgen Fripp, Clinton Fookes, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Going Deeper With Brain Morphometry Using Neural Networks pdf

Olivier Salvado, Clinton Fookes, Pierrick Bourgeat, 2020, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation

Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, 2021, SASHIMI@MICCAI.

Cerebral quantitative susceptibility mapping predicts amyloid-&bgr;-related cognitive decline

R. Ordidge, C. Rowe, C. Masters, 2017, Brain : a journal of neurology.

A universal neocortical mask for Centiloid quantification

C. Rowe, T. Benzinger, C. Masters, 2023, Alzheimer's & dementia.

Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach

Xue Li, Pierrick Bourgeat, Jurgen Fripp, 2019, GLMI@MICCAI.

Investigating brain connectivity heritability in a twin study using diffusion imaging data

S. Rose, K. Mcmahon, J. Fripp, 2014, NeuroImage.

A systematic review of structural MRI biomarkers in autism spectrum disorder: A machine learning perspective

S. Rose, J. Fripp, S. Calderoni, 2018, International Journal of Developmental Neuroscience.

Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning

Josien P. W. Pluim, Jurgen Fripp, Jason Dowling, 2014, MCV.

Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease

J. Fripp, Olivier Salvado, P. Bourgeat, 2012, Journal of Neuroscience Methods.

Supervised method to build an atlas database for multi-atlas segmentation-propagation

Olivier Salvado, Jurgen Fripp, Fabrice Mériaudeau, 2010, Medical Imaging.

Disease progression modelling of Alzheimer’s disease using probabilistic principal components analysis

N. Faux, Timothy Baldwin, C. Masters, 2023, NeuroImage.

Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis

L. Cohen, François-Xavier Vialard, L. Risser, 2012, STIA.

Automatic model‐based semantic registration of multimodal MRI knee data

Rachel K. Surowiec, M. Doellinger, J. Fripp, 2015, Journal of magnetic resonance imaging : JMRI.

Accuracy of TrUE-Net in comparison to established white matter hyperintensity segmentation methods: An independent validation study

Andrei G. Vlassenko, D. Dierker, D. Tosun, 2023, NeuroImage.

A robust harmonization approach for cognitive data from multiple aging and dementia cohorts

W. Jagust, M. Breakspear, Z. Kourtzi, 2023, Alzheimer's & dementia.

Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering

S. T. Govindarajan, P. Maruff, M. Habes, 2024, Nature communications.

Efficient Lesion Segmentation using Support Vector Machines

Laurent D. Cohen, Jurgen Fripp, Parnesh Raniga, 2012 .

Efficient brain lesion segmentation using multi‐modality tissue‐based feature selection and support vector machines

L. Cohen, J. Fripp, Jean-Baptiste Fiot, 2013, International journal for numerical methods in biomedical engineering.

Analysis of cam location characteristics in FAI syndrome patients from 3D MR images demonstrates sex‐specific differences

Craig B. Engstrom, Jessica M. Bugeja, J. Fripp, 2023, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

MILXView: A Medical Imaging, Analysis and Visualization Platform

Olivier Salvado, Jurgen Fripp, Pierrick Bourgeat, 2010, E-HEALTH.

Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks

S. Rose, J. Fripp, Olivier Salvado, 2016, NeuroImage.

Automatic Segmentation of the Knee Bones using 3D Active Shape Models

Stuart Crozier, Sébastien Ourselin, Jurgen Fripp, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

EFFECTS OF MAPT OVER BRAIN GREY MATTER ATROPHY IN THE AIBL COHORT

J. Fripp, S. Burnham, V. Villemagne, 2016, Alzheimer's & Dementia.

Prognostic utility of plasma p217+tau vs amyloid and tau PET in the Alzheimer’s continuum

J. Fripp, V. Villemagne, G. Triana-Baltzer, 2023, Alzheimer's & Dementia.

AUTOMATED REPORTING OF TAU PET QUANTIFICATION ON BRAIN SURFACE

J. Fripp, S. Burnham, V. Villemagne, 2019, Alzheimer's & Dementia.

Genomic loci influence patterns of structural covariance in the human brain

R. Gur, P. Maruff, N. Koutsouleris, 2023, Proceedings of the National Academy of Sciences of the United States of America.

A lightweight rapid application development framework for biomedical image analysis

Stuart Crozier, Olivier Salvado, Jason Dowling, 2018, Comput. Methods Programs Biomed..

Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measures

S. T. Govindarajan, A. Zonderman, P. Maruff, 2023, medRxiv.

Longitudinal trajectories of basal forebrain volume in normal aging and Alzheimer’s disease

P. Maruff, J. Fripp, Ying Xia, 2023, Neurobiology of Aging.

Tackling Dementia Together via The Australian Dementia Network (ADNeT): A Summary of Initiatives, Progress and Plans

J. Fripp, J. Robertson, S. Ahern, 2023, Journal of Alzheimer's disease : JAD.