Robin Wolz

Summary

Affiliation: Imperial College
Country: UK

Publications

  1. ncbi Nonlinear dimensionality reduction combining MR imaging with non-imaging information
    Robin Wolz
    Medical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen s Gate, London SW7 2AZ, UK
    Med Image Anal 16:819-30. 2012
  2. ncbi LEAP: learning embeddings for atlas propagation
    Robin Wolz
    Visual Information Processing Group, Department of Computing, Imperial College London, 180 Queen s Gate, London, SW7 2AZ, UK
    Neuroimage 49:1316-25. 2010
  3. ncbi Measurement of hippocampal atrophy using 4D graph-cut segmentation: application to ADNI
    Robin Wolz
    Department of Computing, Imperial College London, London, UK
    Neuroimage 52:109-18. 2010
  4. ncbi Simultaneous multi-scale registration using large deformation diffeomorphic metric mapping
    Laurent Risser
    Institute for Mathematical Science, Imperial College, SW7 2PG, London, UK
    IEEE Trans Med Imaging 30:1746-59. 2011
  5. ncbi Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease
    Katherine R Gray
    Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK
    Neuroimage 60:221-9. 2012
  6. ncbi Hierarchical manifold learning
    Kanwal K Bhatia
    Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK
    Med Image Comput Comput Assist Interv 15:512-9. 2012
  7. ncbi Simultaneous fine and coarse diffeomorphic registration: application to atrophy measurement in Alzheimer's disease
    Laurent Risser
    Institute for Mathematical Science, Imperial College London, 53 Prince s Gate, SW7 2PG London, UK
    Med Image Comput Comput Assist Interv 13:610-7. 2010
  8. ncbi Multi-organ abdominal CT segmentation using hierarchically weighted subject-specific atlases
    Robin Wolz
    Imperial College London, London, UK
    Med Image Comput Comput Assist Interv 15:10-7. 2012
  9. ncbi Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease
    Maria Vounou
    Statistics Section, Department of Mathematics, Imperial College London, UK
    Neuroimage 60:700-16. 2012
  10. ncbi Multi-method analysis of MRI images in early diagnostics of Alzheimer's disease
    Robin Wolz
    Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
    PLoS ONE 6:e25446. 2011

Detail Information

Publications10

  1. ncbi Nonlinear dimensionality reduction combining MR imaging with non-imaging information
    Robin Wolz
    Medical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen s Gate, London SW7 2AZ, UK
    Med Image Anal 16:819-30. 2012
    ..Our classification results compare favorably to what has been reported in a recent meta-analysis using established neuroimaging methods on the same database...
  2. ncbi LEAP: learning embeddings for atlas propagation
    Robin Wolz
    Visual Information Processing Group, Department of Computing, Imperial College London, 180 Queen s Gate, London, SW7 2AZ, UK
    Neuroimage 49:1316-25. 2010
    ..with a greater difference between atlas and image. For the segmentation of the hippocampus on 182 images for which a manual segmentation is available, we achieved an average overlap (Dice coefficient) of 0.85 with the manual reference...
  3. ncbi Measurement of hippocampal atrophy using 4D graph-cut segmentation: application to ADNI
    Robin Wolz
    Department of Computing, Imperial College London, London, UK
    Neuroimage 52:109-18. 2010
    ..Power analysis shows that 67 and 206 subjects are needed for the AD and MCI groups respectively to detect a 25% change in volume loss with 80% power and 5% significance...
  4. ncbi Simultaneous multi-scale registration using large deformation diffeomorphic metric mapping
    Laurent Risser
    Institute for Mathematical Science, Imperial College, SW7 2PG, London, UK
    IEEE Trans Med Imaging 30:1746-59. 2011
    ..Results show that our method registers accurately volumetric images containing feature differences at several scales simultaneously with smooth deformations...
  5. ncbi Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease
    Katherine R Gray
    Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK
    Neuroimage 60:221-9. 2012
    ..This finding may be usefully applied in the diagnosis of Alzheimer's disease, predicting disease course in individuals with mild cognitive impairment, and in the selection of participants for clinical trials...
  6. ncbi Hierarchical manifold learning
    Kanwal K Bhatia
    Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK
    Med Image Comput Comput Assist Interv 15:512-9. 2012
    ..settings: (1) to learn the regional correlations in motion within a sequence of time-resolved images of the thoracic cavity; (2) to find discriminative regions of 3D brain images in the classification of neurodegenerative disease,..
  7. ncbi Simultaneous fine and coarse diffeomorphic registration: application to atrophy measurement in Alzheimer's disease
    Laurent Risser
    Institute for Mathematical Science, Imperial College London, 53 Prince s Gate, SW7 2PG London, UK
    Med Image Comput Comput Assist Interv 13:610-7. 2010
    ..More importantly, the results also demonstrate its ability to measure shape variations at several scales simultaneously while keeping the desirable properties of LDDMM. This opens new perspectives for clinical applications...
  8. ncbi Multi-organ abdominal CT segmentation using hierarchically weighted subject-specific atlases
    Robin Wolz
    Imperial College London, London, UK
    Med Image Comput Comput Assist Interv 15:10-7. 2012
    ..Our results on a dataset of 100 CT scans compare favourable to the state-of-the-art with Dice overlap values of 94%, 91%, 66% and 94% for liver, spleen, pancreas and kidney respectively...
  9. ncbi Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease
    Maria Vounou
    Statistics Section, Department of Mathematics, Imperial College London, UK
    Neuroimage 60:700-16. 2012
    ..Our findings confirmed the key role of the APOE and TOMM40 genes but also highlighted some novel potential associations with AD...
  10. ncbi Multi-method analysis of MRI images in early diagnostics of Alzheimer's disease
    Robin Wolz
    Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
    PLoS ONE 6:e25446. 2011
    ..The most stable and reliable classification was achieved when combining all available features...