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ORCIDRobin Wolz
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2020 – today
- 2021
[j19]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): 8286 (2021)- 2020
- [c27]Luis R. Peraza, Richard Joules, Yves Dauvilliers, Robin Wolz:
Device agnostic sleep-wake segment classification from wrist-worn accelerometry. ICHI 2020: 1-3 - [c26]Jack Weatheritt, Daniel Rueckert, Robin Wolz:
Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations. MIUA 2020: 118-130
2010 – 2019
- 2016
- [j18]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): 641-655 (2016) - [j17]Ricardo Guerrero, Alexander Schmidt-Richberg, Christian Ledig, Tong Tong, Robin Wolz, Daniel Rueckert:
Instantiated mixed effects modeling of Alzheimer's disease markers. NeuroImage 142: 113-125 (2016) - 2015
- [j16]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): 92-104 (2015) - [j15]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): 1976-1988 (2015) - 2014
- [j14]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): 808-818 (2014) - [j13]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: 275-286 (2014) - [j12]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): 444-461 (2014) - [c25]Jyrki Lötjönen, Christian Ledig, Juha Koikkalainen, Robin Wolz, Lennart Thurfjell, Hilkka Soininen, Sébastien Ourselin, Daniel Rueckert:
Extended boundary shift integral. ISBI 2014: 854-857 - 2013
- [j11]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: 11-23 (2013) - [j10]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): 1723-1730 (2013) - [c24]Tong Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, Daniel Rueckert:
Multiple Instance Learning for Classification of Dementia in Brain MRI. MICCAI (2) 2013: 599-606 - [c23]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: 86693Y - 2012
- [j9]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): 819-830 (2012) - [j8]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): 221-229 (2012) - [j7]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): 700-716 (2012) - [c22]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: 896-899 - [c21]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: 1164-1167 - [c20]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: 1535-1538 - [c19]Robin Wolz, Chengwen Chu, Kazunari Misawa, Kensaku Mori, Daniel Rueckert:
Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases. MICCAI (1) 2012: 10-17 - [c18]Zehan Wang, Robin Wolz, Tong Tong, Daniel Rueckert:
Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework. MCV 2012: 93-103 - [c17]Manuel Jorge Cardoso, Robin Wolz, Marc Modat, Nick C. Fox, Daniel Rueckert, Sébastien Ourselin:
Geodesic Information Flows. MICCAI (2) 2012: 262-270 - [c16]Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert:
Hierarchical Manifold Learning. MICCAI (1) 2012: 512-519 - 2011
- [j6]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): 185-196 (2011) - [j5]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): 1746-1759 (2011) - [j4]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): 2072-2086 (2011) - [c15]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: 1082-1085 - [c14]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert:
Manifold learning combining imaging with non-imaging information. ISBI 2011: 1637-1640 - [c13]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: 1839-1842 - [c12]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: 178-187 - [c11]Ricardo Guerrero, Robin Wolz, Daniel Rueckert:
Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images. MICCAI (2) 2011: 566-573 - [c10]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: 17-22 - [c9]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: 305-310 - [c8]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert:
Manifold-based classification incorporating subject metadata. MIUA 2011: 357-362 - 2010
- [j3]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Daniel Rueckert:
LEAP: Learning embeddings for atlas propagation. NeuroImage 49(2): 1316-1325 (2010) - [j2]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): 2352-2365 (2010) - [j1]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): 109-118 (2010) - [c7]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: 960-963 - [c6]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: 1-8 - [c5]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel Rueckert:
Manifold Learning for Biomarker Discovery in MR Imaging. MLMI 2010: 116-123 - [c4]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: 610-617
2000 – 2009
- 2009
- [c3]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: 470-473 - 2008
- [c2]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: 252-256 - [c1]Tobias Klinder, Robin Wolz, Cristian Lorenz, Astrid Franz, Jörn Ostermann:
Spine Segmentation Using Articulated Shape Models. MICCAI (1) 2008: 227-234
Coauthor Index
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