Maria del C. Valdés Hernández

发表

Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces

Enrico Pellegrini, Lucia Ballerini, Joanna M. Wardlaw, 2016, MIUA.

Supplementary material from "Workshop on reconstruction schemes for magnetic resonance data: summary of findings and recommendations"

Maria del C. Valdés Hernández, Esin Ozturk-Isik, Ian Marshall, 2017 .

Data extraction and analysis of the systematic search on gender differences on brain MRI structures and connectivity

Maria del C. Valdés Hernández, Sally Martin, 2017 .

Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology

Taku Komura, Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, 2017, MIUA.

Medical Image Understanding and Analysis (MIUA 2017)

Taku Komura, Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, 2017 .

Simulation and Synthesis in Medical Imaging

Daniel Rueckert, Alexander Hammers, Joanna M. Wardlaw, 2018, Lecture Notes in Computer Science.

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

Eleni Sakka, Maria del C. Valdés Hernández, Javier Escudero, 2020, J. Imaging.

Hippocampal Shape Modeling Based on a Progressive Template Surface Deformation and its Verification

Jinah Park, Maria del C. Valdés Hernández, Natalie A. Royle, 2015, IEEE Transactions on Medical Imaging.

Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map

Taku Komura, Muhammad Febrian Rachmadi, Joanna M. Wardlaw, 2019, MICCAI.

Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population

Lucia Ballerini, Joanna M. Wardlaw, Ruggiero Lovreglio, 2020, MIUA.

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

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Mark E. Bastin, 2017, NeuroImage.

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

Taku Komura, Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, 2017, Journal of Imaging.

Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology

Taku Komura, Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, 2018, Comput. Medical Imaging Graph..

Tracer kinetic modelling for DCE-MRI quantification of subtle blood–brain barrier permeability

Joanna M. Wardlaw, Eleni Sakka, Maria del C. Valdés Hernández, 2016, NeuroImage.

3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model

Jinah Park, Joanna M. Wardlaw, Maria del C. Valdés Hernández, 2016, Comput. Methods Programs Biomed..

Textural Characterisation on Regions of Interest: A Useful Tool for the Study of Small Vessel Disease

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Víctor González-Castro, 2015, MIUA.

Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis pdf

Emanuele Trucco, Lucia Ballerini, Joanna M. Wardlaw, 2018, ArXiv.

Automatic segmentation of basal ganglia iron deposits from structural MRI

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Mark E. Bastin, 2011, MIUA.

Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Mark E. Bastin, 2015, NeuroImage.

Automatic Irregular Texture Detection in Brain MRI Without Human Supervision

Taku Komura, Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, 2018, MICCAI.

A Standalone and Robust Matlab Tool for Gyral Measurements

Tom MacGillivray, Maria del C. Valdés Hernández, Calum Gray, 2017 .

Table with the full list of participants to the workshop from Workshop on reconstruction schemes for magnetic resonance data: summary of findings and recommendations

Maria del C. Valdés Hernández, Esin Ozturk-Isik, Arnold Julian Vinoj Benjamin, 2017 .

Super Resolution Convolutional Neural Networks for Increasing Spatial Resolution of ^1 H Magnetic Resonance Spectroscopic Imaging

Maria del C. Valdés Hernández, Esin Ozturk-Isik, Sevim Cengiz, 2017, MIUA.

Predictive Intelligence in Medicine: Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

Sang Hyun Park, Maria del C. Valdés Hernández, Ehsan Adeli, 2020, PRIME@MICCAI.

Hierarchical complexity of the adult human structural connectome

Maria del C. Valdés Hernández, Mark E. Bastin, Javier Escudero, 2018, NeuroImage.

Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Víctor González-Castro, 2016, MIUA.

Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation

Daniel Rueckert, Alexander Hammers, Joanna M. Wardlaw, 2016, SASHIMI@MICCAI.

A Comparison of Four Unsupervised Clustering Algorithms for Segmenting Brain Tissue in Multi-spectral MR Data

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Sean Murphy, 2016, BIOSIGNALS.

Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering

Lucia Ballerini, Joanna M. Wardlaw, Ruggiero Lovreglio, 2017, Scientific Reports.

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

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Mark E. Bastin, 2013, NeuroImage.

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

Daniel Rueckert, Joanna M. Wardlaw, Maria del C. Valdés Hernández, 2019, Comput. Medical Imaging Graph..

A critical analysis of neuroanatomical software protocols reveals clinically relevant differences in parcellation schemes

Shadia Mikhael, Maria del C. Valdés Hernández, Cyril R. Pernet, 2017, NeuroImage.

Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Javier Escudero, 2019, MIUA.

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks pdf

Liang Chen, Daniel Rueckert, Alexander Hammers, 2018, ArXiv.

Automatic Hippocampal Multimodal Assessment for Studies of Stroke and Small Vessel Disease

Jinah Park, Joanna M. Wardlaw, Maria del C. Valdés Hernández, 2014, MIUA.

A large margin algorithm for automated segmentation of white matter hyperintensity

Liang Chen, Daniel Rueckert, Joanna M. Wardlaw, 2018, Pattern Recognit..

Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images

David Moratal, Joanna M. Wardlaw, Maria del C. Valdés Hernández, 2019, Comput. Medical Imaging Graph..

Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression using Irregularity Age Map in Brain MRI

Taku Komura, Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, 2018, bioRxiv.

Intuitive and efficient deployment of neuroimaging pipelines in clinical research with BRICpipe: Clinical neuroscience

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Mark E. Bastin, 2012 .

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

Lucia Ballerini, Joanna M. Wardlaw, Maria del C. Valdés Hernández, 2020, MIUA.

Automatic Rating of Perivascular Spaces in Brain MRI Using Bag of Visual Words

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Víctor González-Castro, 2016, ICIAR.

Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data - A systematic review

Maria del C. Valdés Hernández, Ramya Balakrishnan, Andrew J. Farrall, 2020, Comput. Medical Imaging Graph..

Brain Ventricular Morphology Analysis Using a Set of Ventricular-Specific Feature Descriptors

Jinah Park, Maria del C. Valdés Hernández, Jae-il Kim, 2014, ISBMS.

Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Michael J. Thrippleton, 2021, MIUA.

Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data - A systematic review

Maria del C. Valdés Hernández, Andrew J. Farrall, Ramya Balakrishnan, 2021, Comput. Medical Imaging Graph..

Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution

Muhammad Febrian Rachmadi, Joanna M. Wardlaw, Maria del C. Valdés Hernández, 2021, PRIME@MICCAI.

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

Joanna M. Wardlaw, Eleni Sakka, Maria del C. Valdés Hernández, 2021, NeuroImage.

Color fusion of magnetic resonance images improves intracranial volume measurement in studies of aging

Joanna M. Wardlaw, Maria del C. Valdés Hernández, Mark E. Bastin, 2012 .

Genetic Architecture of Subcortical Brain Structures in Over 40,000 Individuals Worldwide

Michael W. Weiner, Anders M. Dale, Robert C. Green, 2017, bioRxiv.