Robin Wolz - RankMe

46 papers B 1Journal 19Unranked 26

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