Robin Wolz

发表

Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease

Daniel Rueckert, Katherine R Gray, Robin Wolz, 2012, NeuroImage.

Instantiated mixed effects modeling of Alzheimer's disease markers

Daniel Rueckert, Robin Wolz, Ricardo Guerrero, 2016, NeuroImage.

Hierarchical Manifold Learning for Regional Image Analysis

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2014, IEEE Transactions on Medical Imaging.

QUANTIFICATION OF WHITE MATTER HYPERINTENSITIES USING A MULTI-MODALITY AUTOMATED SEGMENTATION METHOD

Robin Wolz, Richard Joules, Katherine R. Gray, 2016, Alzheimer's & Dementia.

Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO

Daniel Rueckert, Robin Wolz, Ricardo Guerrero, 2014, NeuroImage.

Landmark localisation in brain MR images using feature point descriptors based on 3D local self-similarities

Daniel Rueckert, Robin Wolz, Ricardo Guerrero, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Fast and robust multi-atlas segmentation of brain magnetic resonance images

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2010, NeuroImage.

Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation

Daniel Rueckert, Robin Wolz, Kensaku Mori, 2013, IEEE Transactions on Medical Imaging.

Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI

Jyrki Lötjönen, Daniel Rueckert, Joseph V. Hajnal, 2010, NeuroImage.

Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations

Daniel Rueckert, Robin Wolz, Jack Weatheritt, 2020, MIUA.

A novel bone suppression method that improves lung nodule detection

Jens von Berg, Robin Wolz, Stewart Young, 2015, International Journal of Computer Assisted Radiology and Surgery.

Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease

Daniel Rueckert, François-Xavier Vialard, Laurent Risser, 2010, MICCAI.

Nonlinear dimensionality reduction combining MR imaging with non-imaging information

Jyrki Lötjönen, Daniel Rueckert, Joseph V. Hajnal, 2012, Medical Image Anal..

Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas

Chengwen Chu, Daniel Rueckert, Yuichiro Hayashi, 2013, Medical Imaging.

Automated spine assessment becomes feasible

Cristian Lorenz, Jörn Ostermann, Sven Kabus, 2009 .

Spine Segmentation Using Articulated Shape Models

Cristian Lorenz, Jörn Ostermann, Tobias Klinder, 2008, MICCAI.

Improved generation of probabilistic atlases for the expectation maximization classification

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Simultaneous Model-Based Segmentation of Multiple Objects

Cristian Lorenz, Tobias Klinder, Sebastian P. M. Dries, 2008, Bildverarbeitung für die Medizin.

Extended boundary shift integral

Juha Koikkalainen, Jyrki Lötjönen, Sébastien Ourselin, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Comparison of Susceptibility Weighted Imaging MRI Implementations Across Vendors: Implications for Multi-Centre Studies

Robin Wolz, Derek L. G. Hill, Sebastien Ourselin, 2017 .

Manifold Learning for Biomarker Discovery in MR Imaging

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2010, MLMI.

PREDICTION OF PROGRESSION RATES IN AMCI SUBJECTS USING SUBJECT-SPECIFIC STATISTICAL MODELLING

Daniel Rueckert, Robin Wolz, Ricardo Guerrero, 2016, Alzheimer's & Dementia.

Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling

Daniel Rueckert, Pierrick Coupé, Joseph V. Hajnal, 2013, NeuroImage.

Multiple instance learning for classification of dementia in brain MRI

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2014, Medical Image Anal..

Regional analysis of FDG-PET for use in the classification of Alzheimer'S Disease

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Multiple instance learning for classification of dementia in brain MRI

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2013, Medical Image Anal..

Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease

Paul M. Thompson, Daniel Rueckert, Robin Wolz, 2012, NeuroImage.

Machine learning meets medical imaging: Learning and discovery of clinically useful information from images

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2013 .

Hierarchical Manifold Learning

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2012, MICCAI.

Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Multi-organ Segmentation from 3D Abdominal CT Images using Patient-Specic

Chengwen Chu, Daniel Rueckert, Yuichiro Hayashi, 2017 .

Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images

Daniel Rueckert, Robin Wolz, Ricardo Guerrero, 2011, MICCAI.

LEAP: Learning embeddings for atlas propagation

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2010, NeuroImage.

Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease

Jyrki Lötjönen, Daniel Rueckert, Robin Wolz, 2011, NeuroImage.

Robustness of automated hippocampal volumetry across accelerated and nonaccelerated T1-weighted MRI

Robin Wolz, Katherine R. Gray, Derek L. Hill, 2015, Alzheimer's & Dementia.

BSI whole‐brain volume change estimation initialised with fully automatic LEAP segmentation

Robin Wolz, Richard Joules, 2020 .

Segmentation of subcortical structures and the hippocampus in brain MRI using graph-cuts and subject-specific a-priori information

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion

Daniel Rueckert, Marc Modat, Andrew Melbourne, 2015, IEEE Transactions on Medical Imaging.

Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework

Daniel Rueckert, Robin Wolz, Tong Tong, 2012, MCV.

Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease

Daniel Rueckert, Robin Wolz, Giovanni Montana, 2011, MIUA.

Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts

Jyrki Lötjönen, Daniel Rueckert, Joseph V. Hajnal, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation

Sébastien Ourselin, Daniel Rueckert, Haiyan Wang, 2011, STACOM.

Manifold-based classification incorporating subject metadata

Jyrki Lötjönen, Daniel Rueckert, Joseph V. Hajnal, 2011, MIUA.

Geodesic Information Flows

Sébastien Ourselin, Daniel Rueckert, Marc Modat, 2012, MICCAI.

Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases

Chengwen Chu, Daniel Rueckert, Robin Wolz, 2012, MICCAI.

A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2011, IEEE Transactions on Medical Imaging.

Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI

Mary A. Rutherford, Joseph V. Hajnal, Robin Wolz, 2010, MICCAI.

Multi-class brain segmentation using atlas propagation and EM-based refinement

Jyrki Lötjönen, Daniel Rueckert, Robin Wolz, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Discriminative dictionary learning for abdominal multi-organ segmentation

Daniel Rueckert, Robin Wolz, Kensaku Mori, 2015, Medical Image Anal..

Manifold Learning for Medical Image Registration, Segmentation, and Classification

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2012 .

Regional Analysis of FDG-PET for the Classification of Alzheimers Disease

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2011, MIUA.

Manifold learning combining imaging with non-imaging information

Jyrki Lötjönen, Daniel Rueckert, Joseph V. Hajnal, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping

Daniel Rueckert, François-Xavier Vialard, Laurent Risser, 2011, IEEE Transactions on Medical Imaging.

Robustness of automated hippocampal volumetry across magnetic resonance field strengths and repeat images

Daniel Rueckert, Clifford R. Jack, Robin Wolz, 2014, Alzheimer's & Dementia.

Structural MRI in Frontotemporal Dementia: Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2012, PloS one.

Injury markers predict time to dementia in subjects with MCI and amyloid pathology

Daniel Rueckert, Robin Wolz, Magda Tsolaki, 2012, Neurology.

Operationalizing hippocampal volume as an enrichment biomarker for amnestic mild cognitive impairment trials: effect of algorithm, test-retest variability, and cut point on trial cost, duration, and sample size

Clifford R. Jack, Nick C. Fox, Robin Wolz, 2014, Neurobiology of Aging.

Optimizing the diagnosis of early Alzheimer's disease in mild cognitive impairment subjects.

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2012, Journal of Alzheimer's disease : JAD.

Age dependent fetal MR segmentation using manual and automated approaches

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2013 .

Automatically determined hippocampal atrophy rates in ADNI: Their usability to discriminate between clinical groups and to detect changes in atrophy rate

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2010, Alzheimer's & Dementia.

INTEGRATION OF EADC-ADNI HARMONISED HIPPOCAMPUS LABELS INTO THE LEAP AUTOMATED SEGMENTATION TECHNIQUE

Robin Wolz, Kate McLeish, Marina Boccardi, 2014, Alzheimer's & Dementia.

Segmentation of MRI brain scans using MALP-EM

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2012 .

SEGMENTATION OF SUBCORTICAL STRUCTURES IN BRAIN MRI USING GRAPH-CUTS AND SUBJECT-SPECIFIC APRIORI INFORMATION

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2009 .

PREDICTING SLEEP/WAKE PATTERNS FROM 3-AXIS ACCELEROMETRY USING DEEP LEARNING

Robin Wolz, Ricardo Guerrero, Yves Dauvilliers, 2017, Alzheimer's & Dementia.

Measurements of medial temporal lobe atrophy for prediction of Alzheimer's disease in subjects with mild cognitive impairment

Daniel Rueckert, Robin Wolz, Martina Bocchetta, 2013, Neurobiology of Aging.

Coalition Against Major Diseases/European Medicines Agency biomarker qualification of hippocampal volume for enrichment of clinical trials in predementia stages of Alzheimer's disease

Martha Brumfield, Robin Wolz, Marina Boccardi, 2014, Alzheimer's & Dementia.

Predicting progression from cognitive impairment to Alzheimer's disease with the Disease State Index.

Juha Koikkalainen, Robin Wolz, Harald Hampel, 2015, Current Alzheimer research.