Maria del C. Valdés Hernández

Affiliations:
  • University of Edinburgh, Brain Research Imaging Centre (BRIC)


According to our database1, Maria del C. Valdés Hernández authored at least 45 papers between 2010 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2022
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols.
Frontiers Comput. Neurosci., 2022

2021
A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage.
NeuroImage, 2021

Quality control for more reliable integration of deep learning-based image segmentation into medical workflows.
CoRR, 2021

Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data - A systematic review.
Comput. Medical Imaging Graph., 2021

Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

2020
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks.
Medical Image Anal., 2020

Examining the Relationship between Semiquantitative Methods Analysing Concentration-Time and Enhancement-Time Curves from Dynamic-Contrast Enhanced Magnetic Resonance Imaging and Cerebrovascular Dysfunction in Small Vessel Disease.
J. Imaging, 2020

Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images.
Comput. Medical Imaging Graph., 2020

A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

2019
Hierarchical complexity of the adult human structural connectome.
NeuroImage, 2019

Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme.
Frontiers Neuroinformatics, 2019

Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images.
Comput. Medical Imaging Graph., 2019

Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
A large margin algorithm for automated segmentation of white matter hyperintensity.
Pattern Recognit., 2018

A critical analysis of neuroanatomical software protocols reveals clinically relevant differences in parcellation schemes.
NeuroImage, 2018

Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study.
NeuroImage, 2018

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks.
CoRR, 2018

Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis.
CoRR, 2018

Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology.
Comput. Medical Imaging Graph., 2018

Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

Automatic Irregular Texture Detection in Brain MRI Without Human Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Brain grey and white matter predictors of verbal ability traits in older age: The Lothian Birth Cohort 1936.
NeuroImage, 2017

Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology.
J. Imaging, 2017

Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering.
CoRR, 2017

Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Super Resolution Convolutional Neural Networks for Increasing Spatial Resolution of ^1 H Magnetic Resonance Spectroscopic Imaging.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2016
Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability.
NeuroImage, 2016

3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model.
Comput. Methods Programs Biomed., 2016

Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016


Automatic Rating of Perivascular Spaces in Brain MRI Using Bag of Visual Words.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

2015
Hippocampal Shape Modeling Based on a Progressive Template Surface Deformation and its Verification.
IEEE Trans. Medical Imaging, 2015

Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities.
NeuroImage, 2015

Textural Characterisation on Regions of Interest: A Useful Tool for the Study of Small Vessel Disease.
Proceedings of the Medical Image Understanding and Analysis, 2015

2014
Automatic Hippocampal Multimodal Assessment for Studies of Stroke and Small Vessel Disease.
Proceedings of the Medical Image Understanding and Analysis, 2014

Brain Ventricular Morphology Analysis Using a Set of Ventricular-Specific Feature Descriptors.
Proceedings of the Biomedical Simulation - 6th International Symposium, 2014

2013
Characterization of multifocal T2*-weighted MRI hypointensities in the basal ganglia of elderly, community-dwelling subjects.
NeuroImage, 2013

2011
Automatic segmentation of basal ganglia iron deposits from structural MRI.
Proceedings of the Medical Image Understanding and Analysis, 2011

2010
A Comparison of Four Unsupervised Clustering Algorithms for Segmenting Brain Tissue in Multi-spectral MR Data.
Proceedings of the BIOSIGNALS 2010, 2010


  Loading...