Jurgen Fripp

发表

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

Stephen E. Rose, Susmita Saha, Alex M. Pagnozzi, 2020, NeuroImage.

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.

Improved centiloid robustness using non‐negative matrix factorization

Jurgen Fripp, Vincent Dore, Pierrick Bourgeat, 2020 .

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.

Local vs global descriptors of hippocampus shape evolution for Alzheimer's longitudinal population analysis

Laurent D. Cohen, François-Xavier Vialard, Laurent Risser, 2012, MICCAI 2012.

Fast High Dynamic Range MRI by Contrast Enhancement Networks

Stuart Crozier, Jurgen Fripp, Craig Engstrom, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Simultaneous super-resolution and contrast synthesis of routine clinical magnetic resonance images of the knee for improving automatic segmentation of joint cartilage: data from the Osteoarthritis Initiative.

Stuart Crozier, Jurgen Fripp, Pierrick Bourgeat, 2020, Medical physics.

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.

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

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

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..

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.

Applying simultaneous super-resolution and contrast synthesis to routine clinical magnetic resonance images for automated segmentation of knee joint cartilage

Stuart Crozier, Jurgen Fripp, Craig Engstrom, 2019 .

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.

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).

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.

High Contrast T1-Weigthed Mri with Fluid and White Matter Suppression Using Mp2Rage

Jurgen Fripp, Hervé Saint-Jalmes, Olivier Salvado, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Non-linear realignment improves hippocampus subfield segmentation reliability

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

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

Stuart Crozier, Peter B. Greer, Wei Dai, 2020, ArXiv.

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.

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.

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).

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.

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

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

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.

Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation

Lei Wang, Ming Yang, Luping Zhou, 2020, MICCAI.

Web-based automated PET and MR quantification

Vincent Doré, Pierrick Bourgeat, Jurgen Fripp, 2015, Alzheimer's & Dementia.

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.

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..

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.

A lightweight rapid application development framework for biomedical image analysis

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

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

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

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.

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.