Robin Wolz

According to our database1, Robin Wolz authored at least 46 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson's Disease.
Sensors, 2021

2020
Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Device agnostic sleep-wake segment classification from wrist-worn accelerometry.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

2016
Instantiated mixed effects modeling of Alzheimer's disease markers.
NeuroImage, 2016

A novel bone suppression method that improves lung nodule detection.
Int. J. Comput. Assist. Radiol. Surg., 2016

2015
Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion.
IEEE Trans. Medical Imaging, 2015

Discriminative dictionary learning for abdominal multi-organ segmentation.
Medical Image Anal., 2015

2014
Hierarchical Manifold Learning for Regional Image Analysis.
IEEE Trans. Medical Imaging, 2014

Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO.
NeuroImage, 2014

Multiple instance learning for classification of dementia in brain MRI.
Medical Image Anal., 2014

Extended boundary shift integral.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation.
IEEE Trans. Medical Imaging, September, 2013

Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling.
NeuroImage, 2013

Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Multiple Instance Learning for Classification of Dementia in Brain MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease.
NeuroImage, 2012

Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease.
NeuroImage, 2012

Nonlinear dimensionality reduction combining MR imaging with non-imaging information.
Medical Image Anal., 2012

Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Geodesic Information Flows.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Hierarchical Manifold Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Multi-class brain segmentation using atlas propagation and EM-based refinement.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Landmark localisation in brain MR images using feature point descriptors based on 3D local self-similarities.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping.
IEEE Trans. Medical Imaging, 2011

A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development.
IEEE Trans. Medical Imaging, 2011

Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease.
NeuroImage, 2011

Manifold-based classification incorporating subject metadata.
Proceedings of the Medical Image Understanding and Analysis, 2011

Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease.
Proceedings of the Medical Image Understanding and Analysis, 2011

Regional Analysis of FDG-PET for the Classification of Alzheimers Disease.
Proceedings of the Medical Image Understanding and Analysis, 2011

A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2011

Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Manifold learning combining imaging with non-imaging information.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Improved generation of probabilistic atlases for the expectation maximization classification.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Regional analysis of FDG-PET for use in the classification of Alzheimer'S Disease.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI.
NeuroImage, 2010

LEAP: Learning embeddings for atlas propagation.
NeuroImage, 2010

Fast and robust multi-atlas segmentation of brain magnetic resonance images.
NeuroImage, 2010

Manifold Learning for Biomarker Discovery in MR Imaging.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Segmentation of Subcortical Structures and the Hippocampus in Brain MRI Using Graph-Cuts and Subject-Specific A-Priori Information.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Spine Segmentation Using Articulated Shape Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Simultaneous Model-Based Segmentation of Multiple Objects.
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008


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