Gerard Sanroma

Orcid: 0000-0002-4450-8311

Affiliations:
  • German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
  • Universitat Pompeu Fabra, DTIC, Barcelona, Spain


According to our database1, Gerard Sanroma authored at least 44 papers between 2006 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2020
A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly.
Medical Image Anal., 2020

A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer's disease.
Comput. Methods Programs Biomed., 2020

2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019

Patch spaces and fusion strategies in patch-based label fusion.
Comput. Medical Imaging Graph., 2019

2018
Editorial: Deep Mining Big Social Data.
World Wide Web, 2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018

Learning non-linear patch embeddings with neural networks for label fusion.
Medical Image Anal., 2018

Learning to combine complementary segmentation methods for fetal and 6-month infant brain MRI segmentation.
Comput. Medical Imaging Graph., 2018

SCCA-Ref: Novel Sparse Canonical Correlation Analysis with Reference to Discover Independent Spatial Associations Between White Matter Hyperintensities and Atrophy.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fetal cortical parcellation based on growth patterns.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Learning and combining image neighborhoods using random forests for neonatal brain disease classification.
Medical Image Anal., 2017

Discriminative confidence estimation for probabilistic multi-atlas label fusion.
Medical Image Anal., 2017

Early Prediction of Alzheimer's Disease with Non-local Patch-Based Longitudinal Descriptors.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

On the Role of Patch Spaces in Patch-Based Label Fusion.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

2016
Building an Ensemble of Complementary Segmentation Methods by Exploiting Probabilistic Estimates.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Enhanced Probabilistic Label Fusion by Estimating Label Confidences Through Discriminative Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.
NeuroImage, 2015

A transversal approach for patch-based label fusion via matrix completion.
Medical Image Anal., 2015

Building dynamic population graph for accurate correspondence detection.
Medical Image Anal., 2015

Discriminative Dimensionality Reduction for Patch-Based Label Fusion.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

2014
Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation".
IEEE Trans. Medical Imaging, 2014

Learning to Rank Atlases for Multiple-Atlas Segmentation.
IEEE Trans. Medical Imaging, 2014

A unified approach to the recognition of complex actions from sequences of zone-crossings.
Image Vis. Comput., 2014

Novel Multi-Atlas Segmentation by Matrix Completion.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Learning-Based Atlas Selection for Multiple-Atlas Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012
Graph matching using position coordinates and local features for image analysis.
PhD thesis, 2012

Smooth point-set registration using neighboring constraints.
Pattern Recognit. Lett., 2012

A new graph matching method for point-set correspondence using the EM algorithm and Softassign.
Comput. Vis. Image Underst., 2012

Group-wise Sparse Correspondences between Images based on a Common Labelling Approach.
Proceedings of the VISAPP 2012, 2012

Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic Regular Grammar.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

2011
Smooth Simultaneous Structural Graph Matching and Point-Set Registration.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

2010
Graph Matching using SIFT Descriptors - An Application to Pose Recovery of a Mobile Robot.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Attributed Graph Matching for Image-Features Association Using SIFT Descriptors.
Proceedings of the Structural, 2010

A Discrete Labelling Approach to Attributed Graph Matching Using SIFT Features.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2008
A Fast Approximation of the Earth-Movers Distance between Multidimensional Histograms.
Int. J. Pattern Recognit. Artif. Intell., 2008

Hybrid Genetic Algorithm and Procrustes Analysis for Enhancing the Matching of Graphs Generated from Shapes.
Proceedings of the Structural, 2008

Improving the matching of graphs generated from shapes by the use of procrustes distances into a clique-based MAP formulation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Shape Learning with Function-Described Graphs.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

2007
Modelling Intermittently Present Features Using Nonlinear Point Distribution Models.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007

A New Algorithm to Compute the Distance Between Multi-dimensional Histograms.
Proceedings of the Progress in Pattern Recognition, 2007

2006
An Efficient Distance Between Multi-dimensional Histograms for Comparing Images.
Proceedings of the Structural, 2006


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