Paul Aljabar
Orcid: 0000-0002-6173-9007
According to our database1,
Paul Aljabar
authored at least 84 papers
between 2004 and 2023.
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Bibliography
2023
CoRR, 2023
2022
A Deep-Learning Lesion Segmentation Model that Addresses Class Imbalance and Expected Low Probability Tissue Abnormalities in Pre and Postoperative Liver MRI.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
2021
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
Slice-to-Volume Registration Enables Automated Pancreas MRI Quantification in UK Biobank.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
2018
Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies.
IEEE Trans. Pattern Anal. Mach. Intell., 2018
2017
IEEE Trans. Medical Imaging, 2017
NeuroImage, 2017
Early development of structural networks and the impact of prematurity on brain connectivity.
NeuroImage, 2017
Medical Image Anal., 2017
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
2016
Characterising brain network topologies: A dynamic analysis approach using heat kernels.
NeuroImage, 2016
Machine-learning to characterise neonatal functional connectivity in the preterm brain.
NeuroImage, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
IEEE Trans. Medical Imaging, 2015
Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching.
NeuroImage, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data.
Proceedings of the Information Processing in Medical Imaging, 2015
2014
IEEE Trans. Medical Imaging, 2014
NeuroImage, 2014
Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction.
NeuroImage, 2014
NeuroImage, 2014
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2013
Random forest-based similarity measures for multi-modal classification of Alzheimer's disease.
NeuroImage, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
Erratum to Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression [NeuroImage 59/3(2012) 2255-2265].
NeuroImage, 2012
Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression.
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
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development.
IEEE Trans. Medical Imaging, 2011
NeuroImage, 2011
Manifold-based classification incorporating subject metadata.
Proceedings of the Medical Image Understanding and Analysis, 2011
A Four-dimensional Atlas of Neonatal Brain MRI.
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
Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Tracking developmental changes in subcortical structures of the preterm brain using multi-modal MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Nonrigid Registration of Medical Images: Theory, Methods, and Applications [Applications Corner].
IEEE Signal Process. Mag., 2010
Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI.
NeuroImage, 2010
Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation.
NeuroImage, 2010
A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm.
NeuroImage, 2010
Corrigendum to "An evaluation of four automatic methods of segmenting the subcortical structures in the brain" [NeuroImage 47 (2009) 1435-1447].
NeuroImage, 2010
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 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
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Automatic volumetry can reveal visually undetected disease features on brain MR images in temporal lobe epilepsy.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Analysis of serial magnetic resonance images of mouse brains using image registration.
NeuroImage, 2009
An evaluation of four automatic methods of segmenting the subcortical structures in the brain.
NeuroImage, 2009
Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy.
NeuroImage, 2009
Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan.
Proceedings of the Medical Imaging 2009: Image Processing, 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
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Automated morphological analysis of magnetic resonance brain imaging using spectral analysis.
NeuroImage, 2008
NeuroImage, 2008
Hierarchical statistical shape analysis and prediction of sub-cortical brain structures.
Medical Image Anal., 2008
Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: A proof-of-principle study.
NeuroImage, 2007
Quantifying brain development in early childhood using segmentation and registration.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
2006
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion.
NeuroImage, 2006
Cerebral atrophy measurements using Jacobian integration: Comparison with the boundary shift integral.
NeuroImage, 2006
Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry.
NeuroImage, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006
2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
2004
IEEE Trans. Medical Imaging, 2004