Robin Wolz

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 5

Top Topics

Locality Preserving

Brain Segmentation

Multiple Instance

Laplacian Eigenmaps

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Luis R. Peraza, Kirsi M. Kinnunen, Roisin McNaney, Ian Craddock, Alan L. Whone, Catherine Morgan, Richard Joules, Robin Wolz
An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson's Disease. Sensors 21 (24) (2021)
Luis R. Peraza, Richard Joules, Yves Dauvilliers, Robin Wolz
Device agnostic sleep-wake segment classification from wrist-worn accelerometry. ICHI (2020)
Jack Weatheritt, Daniel Rueckert, Robin Wolz
Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations. MIUA (2020)
Ricardo Guerrero, Alexander Schmidt-Richberg, Christian Ledig, Tong Tong, Robin Wolz, Daniel Rueckert
Instantiated mixed effects modeling of Alzheimer's disease markers. NeuroImage 142 (2016)
Jens von Berg, Stewart Young, Heike Carolus, Robin Wolz, Axel Saalbach, Alberto Hidalgo, Ana Giménez, Tomás Franquet
A novel bone suppression method that improves lung nodule detection. Int. J. Comput. Assist. Radiol. Surg. 11 (4) (2016)
Tong Tong, Robin Wolz, Zehan Wang, Qinquan Gao, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Joseph V. Hajnal, Daniel Rueckert
Discriminative dictionary learning for abdominal multi-organ segmentation. Medical Image Anal. 23 (1) (2015)
Manuel Jorge Cardoso, Marc Modat, Robin Wolz, Andrew Melbourne, David M. Cash, Daniel Rueckert, Sébastien Ourselin
Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion. IEEE Trans. Medical Imaging 34 (9) (2015)
Jyrki Lötjönen, Christian Ledig, Juha Koikkalainen, Robin Wolz, Lennart Thurfjell, Hilkka Soininen, Sébastien Ourselin, Daniel Rueckert
Extended boundary shift integral. ISBI (2014)
Ricardo Guerrero, Robin Wolz, A. W. Rao, Daniel Rueckert
Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO. NeuroImage 94 (2014)
Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert
Hierarchical Manifold Learning for Regional Image Analysis. IEEE Trans. Medical Imaging 33 (2) (2014)
Tong Tong, Robin Wolz, Qinquan Gao, Ricardo Guerrero, Joseph V. Hajnal, Daniel Rueckert
Multiple instance learning for classification of dementia in brain MRI. Medical Image Anal. 18 (5) (2014)
Robin Wolz, Chengwen Chu, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert
Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation. IEEE Trans. Medical Imaging 32 (9) (2013)
Chengwen Chu, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Yuichiro Hayashi, Robin Wolz, Daniel Rueckert, Kensaku Mori
Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas. Medical Imaging: Image Processing (2013)
Tong Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, Daniel Rueckert
Multiple Instance Learning for Classification of Dementia in Brain MRI. MICCAI (2) (2013)
Tong Tong, Robin Wolz, Pierrick Coupé, Joseph V. Hajnal, Daniel Rueckert
Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling. NeuroImage 76 (2013)
Katherine R. Gray, Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Alexander Hammers, Daniel Rueckert
Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease. NeuroImage 60 (1) (2012)
Zehan Wang, Robin Wolz, Tong Tong, Daniel Rueckert
Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework. MCV (2012)
Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert
Hierarchical Manifold Learning. MICCAI (1) (2012)
Ricardo Guerrero, Luis Pizarro, Robin Wolz, Daniel Rueckert
Landmark localisation in brain MR images using feature point descriptors based on 3D local self-similarities. ISBI (2012)
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert
Nonlinear dimensionality reduction combining MR imaging with non-imaging information. Medical Image Anal. 16 (4) (2012)
Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Valeria Manna, Christian Ledig, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert
Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior. ISBI (2012)
Robin Wolz, Chengwen Chu, Kazunari Misawa, Kensaku Mori, Daniel Rueckert
Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases. MICCAI (1) (2012)
Christian Ledig, Robin Wolz, Paul Aljabar, Jyrki Lötjönen, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert
Multi-class brain segmentation using atlas propagation and EM-based refinement. ISBI (2012)
Manuel Jorge Cardoso, Robin Wolz, Marc Modat, Nick C. Fox, Daniel Rueckert, Sébastien Ourselin
Geodesic Information Flows. MICCAI (2) (2012)
Maria Vounou, Eva Janousová, Robin Wolz, Jason L. Stein, Paul M. Thompson, Daniel Rueckert, Giovanni Montana
Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease. NeuroImage 60 (1) (2012)
Wenzhe Shi, Xiahai Zhuang, Robin Wolz, Simon G. Duckett, Kai-Pin Tung, Haiyan Wang, Sébastien Ourselin, Philip J. Edwards, Reza Razavi, Daniel Rueckert
A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation. STACOM (2011)
Katherine R. Gray, Robin Wolz, Shiva Keihaninejad, Rolf A. Heckemann, Paul Aljabar, Alexander Hammers, Daniel Rueckert
Regional analysis of FDG-PET for use in the classification of Alzheimer'S Disease. ISBI (2011)
Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert
Improved generation of probabilistic atlases for the expectation maximization classification. ISBI (2011)
Ricardo Guerrero, Robin Wolz, Daniel Rueckert
Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images. MICCAI (2) (2011)
Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Valtteri Julkunen, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert
Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease. NeuroImage 56 (1) (2011)
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert
Manifold-based classification incorporating subject metadata. MIUA (2011)
Katherine R. Gray, Robin Wolz, Shiva Keihaninejad, Rolf A. Heckemann, Paul Aljabar, Alexander Hammers, Daniel Rueckert
Regional Analysis of FDG-PET for the Classification of Alzheimers Disease. MIUA (2011)
Laurent Risser, François-Xavier Vialard, Robin Wolz, Maria Murgasova, Darryl D. Holm, Daniel Rueckert
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping. IEEE Trans. Medical Imaging 30 (10) (2011)
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert
Manifold learning combining imaging with non-imaging information. ISBI (2011)
Paul Aljabar, Robin Wolz, Latha Srinivasan, Serena J. Counsell, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert
A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development. IEEE Trans. Medical Imaging 30 (12) (2011)
Eva Janousová, Maria Vounou, Robin Wolz, Katherine R. Gray, Daniel Rueckert, Giovanni Montana
Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease. MIUA (2011)
Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Jyrki Lötjönen, Daniel Rueckert
Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts. ISBI (2010)
Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Jyrki Lötjönen, Daniel Rueckert
Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI. NeuroImage 52 (1) (2010)
Paul Aljabar, Robin Wolz, Latha Srinivasan, Serena J. Counsell, James P. Boardman, Maria Murgasova, Valentina Doria, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal
Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI. MICCAI (3) (2010)
Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Lennart Thurfjell, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert
Fast and robust multi-atlas segmentation of brain magnetic resonance images. NeuroImage 49 (3) (2010)
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel Rueckert
Manifold Learning for Biomarker Discovery in MR Imaging. MLMI (2010)
Laurent Risser, François-Xavier Vialard, Robin Wolz, Darryl D. Holm, Daniel Rueckert
Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease. MICCAI (2) (2010)
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Daniel Rueckert
LEAP: Learning embeddings for atlas propagation. NeuroImage 49 (2) (2010)
Robin Wolz, Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert
Segmentation of Subcortical Structures and the Hippocampus in Brain MRI Using Graph-Cuts and Subject-Specific A-Priori Information. ISBI (2009)
Astrid Franz, Robin Wolz, Tobias Klinder, Cristian Lorenz, Hans Barschdorf, Thomas Blaffert, Sebastian P. M. Dries, Steffen Renisch
Simultaneous Model-Based Segmentation of Multiple Objects. Bildverarbeitung für die Medizin (2008)
Tobias Klinder, Robin Wolz, Cristian Lorenz, Astrid Franz, Jörn Ostermann
Spine Segmentation Using Articulated Shape Models. MICCAI (1) (2008)