Robin Wolz

Summary

Affiliation: Imperial College
Country: UK

Publications

  1. doi request reprint Automated abdominal multi-organ segmentation with subject-specific atlas generation
    Robin Wolz
    Department of Computing, Imperial College London, London, UK
    IEEE Trans Med Imaging 32:1723-30. 2013
  2. doi request reprint 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
  3. pmc 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
  4. ncbi request reprint 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
  5. ncbi request reprint 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
  6. ncbi request reprint Multiple instance learning for classification of dementia in brain MRI
    Tong Tong
    Department of Computing, Imperial College London, London, UK
    Med Image Comput Comput Assist Interv 16:599-606. 2013
  7. doi request reprint 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
  8. pmc 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
  9. ncbi request reprint Multiple instance learning for classification of dementia in brain MRI
    Tong Tong
    Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen s Gate, London SW7 2AZ, UK Electronic address
    Med Image Anal 18:808-18. 2014
  10. ncbi request reprint 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

Detail Information

Publications15

  1. doi request reprint Automated abdominal multi-organ segmentation with subject-specific atlas generation
    Robin Wolz
    Department of Computing, Imperial College London, London, UK
    IEEE Trans Med Imaging 32:1723-30. 2013
    ..The achieved results compare well to state-of-the-art methods, that are usually tailored to more specific questions, with Dice overlap values of 94%, 93%, 70%, and 92% for liver, kidneys, pancreas, and spleen, respectively...
  2. doi request reprint 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...
  3. pmc 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...
  4. ncbi request reprint 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...
  5. ncbi request reprint 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...
  6. ncbi request reprint Multiple instance learning for classification of dementia in brain MRI
    Tong Tong
    Department of Computing, Imperial College London, London, UK
    Med Image Comput Comput Assist Interv 16:599-606. 2013
    ..8% between AD patients and healthy controls, and 69.6% between patients with stable Mild Cognitive Impairment (MCI) and progressive MCI. These results compare favourably with state-of-the-art classification methods...
  7. doi request reprint 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...
  8. pmc 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...
  9. ncbi request reprint Multiple instance learning for classification of dementia in brain MRI
    Tong Tong
    Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen s Gate, London SW7 2AZ, UK Electronic address
    Med Image Anal 18:808-18. 2014
    ..Compared with two state-of-the-art methods using the same dataset, the proposed method can achieve similar or improved results, providing an alternative framework for the detection and prediction of neurodegenerative diseases...
  10. ncbi request reprint 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,..
  11. ncbi request reprint 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...
  12. ncbi request reprint Segmentation of MR images via discriminative dictionary learning and sparse coding: application to hippocampus labeling
    Tong Tong
    Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen s Gate, London, SW7 2AZ, UK
    Neuroimage 76:11-23. 2013
    ..The proposed method achieved a median Dice coefficient of 0.879 on 202 ADNI images and 0.890 on 80 ICBM subjects, which is competitive compared with state-of-the-art methods...
  13. pmc 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...
  14. pmc 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...
  15. ncbi request reprint Robustness of automated hippocampal volumetry across magnetic resonance field strengths and repeat images
    Robin Wolz
    IXICO Plc, London, UK Department of Computing, Imperial College London, London, UK
    Alzheimers Dement 10:430-438.e2. 2014
    ..For automated methods to meet the necessary regulatory requirements, it is essential they be standardized and their performance be well characterized...