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Maria del C. Valdés Hernández
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- affiliation: University of Edinburgh, Brain Research Imaging Centre (BRIC)
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2020 – today
- 2024
- [j21]Jennifer M. J. Waymont, Maria del C. Valdés Hernández
, José Bernal, Roberto Duarte Coello, Rosalind Brown, Francesca M. Chappell, Lucia Ballerini, Joanna M. Wardlaw:
Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain. NeuroImage 297: 120685 (2024) - [c23]Ben Philps, Maria del C. Valdés Hernández, Susana Muñoz Maniega, Mark E. Bastin, Eleni Sakka, Una Clancy, Joanna M. Wardlaw, Miguel O. Bernabeu:
Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation. MIUA (1) 2024: 34-53 - [c22]Jesse Phitidis, Antanas Kascenas, Maria del C. Valdés Hernández, William Whiteley, Joanna M. Wardlaw, Alison Q. O'Neil:
Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. MIUA (2) 2024: 227-241 - 2023
- [c21]Ben Philps
, Maria del C. Valdés Hernández
, Miguel Bernabeu Llinares
:
Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities. UNSURE@MICCAI 2023: 208-218 - [c20]Jesse Phitidis
, Alison Q. O'Neil
, Stewart Wiseman
, David Alexander Dickie
, Eleni Sakka
, Agniete Kampaite
, William Whiteley
, Miguel O. Bernabeu
, Beatrice Alex
, Joanna M. Wardlaw
, Maria del C. Valdés Hernández
:
Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. MIUA 2023: 3-17 - 2022
- [j20]Bryan M. Li
, Leonardo V. Castorina, Maria del C. Valdés Hernández, Una Clancy, Stewart J. Wiseman, Eleni Sakka, Amos J. Storkey, Daniela Jaime Garcia, Yajun Cheng
, Fergus Doubal
, Michael J. Thrippleton, Michael S. Stringer
, Joanna M. Wardlaw
:
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols. Frontiers Comput. Neurosci. 16 (2022) - 2021
- [j19]Ramya Balakrishnan, Maria del C. Valdés Hernández
, Andrew J. Farrall:
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. 88: 101867 (2021) - [j18]José Bernal, Maria del C. Valdés Hernández
, Javier Escudero, Anna K. Heye, Eleni Sakka
, Paul A. Armitage, Stephen D. Makin
, Rhian M. Touyz, Joanna M. Wardlaw
, Michael J. Thrippleton
:
A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage. NeuroImage 230: 117786 (2021) - [c19]Muhammad Febrian Rachmadi
, Maria del C. Valdés Hernández
, Rizal Maulana
, Joanna M. Wardlaw, Stephen D. Makin
, Henrik Skibbe:
Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution. PRIME@MICCAI 2021: 168-180 - [c18]José Bernal
, William Xu
, Maria del C. Valdés Hernández
, Javier Escudero
, Angela C. C. Jochems
, Una Clancy
, Fergus N. Doubal
, Michael S. Stringer
, Michael J. Thrippleton
, Rhian M. Touyz
, Joanna M. Wardlaw
:
Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging. MIUA 2021: 151-164 - [i4]Elena Williams, Sebastian Niehaus, Janis Reinelt, Alberto Merola, Paul Glad Mihai, Ingo Roeder, Nico Scherf, Maria del C. Valdés Hernández:
Quality control for more reliable integration of deep learning-based image segmentation into medical workflows. CoRR abs/2112.03277 (2021) - 2020
- [j17]Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Hongwei Li
, Ricardo Guerrero, Rozanna Meijboom, Stewart Wiseman, Adam Waldman, Jianguo Zhang
, Daniel Rueckert, Joanna M. Wardlaw
, Taku Komura:
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. 79: 101685 (2020) - [j16]José Bernal
, Maria del C. Valdés Hernández
, Javier Escudero
, Eleni Sakka, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz
, Joanna M. Wardlaw
:
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 6(6): 43 (2020) - [j15]Muhammad Febrian Rachmadi
, Maria del C. Valdés Hernández
, Stephen D. Makin
, Joanna M. Wardlaw
, Taku Komura:
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks. Medical Image Anal. 63: 101712 (2020) - [c17]José Bernal
, Maria del C. Valdés Hernández
, Lucia Ballerini
, Javier Escudero
, Angela C. C. Jochems
, Una Clancy
, Fergus N. Doubal
, Michael S. Stringer
, Michael J. Thrippleton
, Rhian M. Touyz
, Joanna M. Wardlaw
:
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. MIUA 2020: 171-183 - [c16]Lucia Ballerini
, Ahmed E. Fetit, Stephan Wunderlich, Ruggiero Lovreglio
, Sarah McGrory, Maria del Carmen Valdés Hernández, Tom J. MacGillivray
, Fergus Doubal, Ian J. Deary, Joanna M. Wardlaw, Emanuele Trucco
:
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. MIUA 2020: 400-409 - [e2]Islem Rekik
, Ehsan Adeli
, Sang Hyun Park
, Maria del C. Valdés Hernández
:
Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12329, Springer 2020, ISBN 978-3-030-59353-7 [contents]
2010 – 2019
- 2019
- [j14]Rafael Ortiz-Ramon
, Maria del C. Valdés Hernández
, Víctor González-Castro
, Stephen D. Makin
, Paul A. Armitage, Benjamin S. Aribisala, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw
, David Moratal
:
Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images. Comput. Medical Imaging Graph. 74: 12-24 (2019) - [j13]Carlos Pérez Leguízamo, Maria del C. Valdés Hernández, Muhammad Febrian Rachmadi, Taku Komura:
Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme. Frontiers Neuroinformatics 13: 33 (2019) - [j12]Keith Smith
, Mark E. Bastin, Simon R. Cox
, Maria del Carmen Valdés Hernández, Stewart Wiseman
, Javier Escudero
, Catherine Sudlow
:
Hierarchical complexity of the adult human structural connectome. NeuroImage 191: 205-215 (2019) - [c15]Muhammad Febrian Rachmadi
, Maria del C. Valdés Hernández
, Stephen D. Makin, Joanna M. Wardlaw
, Taku Komura:
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. MICCAI (3) 2019: 146-154 - [c14]José Bernal
, Maria del C. Valdés Hernández
, Javier Escudero
, Paul A. Armitage
, Stephen D. Makin
, Rhian M. Touyz
, Joanna M. Wardlaw
:
Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease. MIUA 2019: 282-293 - 2018
- [j11]Muhammad Febrian Rachmadi
, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Carol Di Perri
, Taku Komura:
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. 66: 28-43 (2018) - [j10]Shadia Mikhael, Corné Hoogendoorn
, Maria del C. Valdés Hernández, Cyril R. Pernet:
A critical analysis of neuroanatomical software protocols reveals clinically relevant differences in parcellation schemes. NeuroImage 170: 348-364 (2018) - [j9]Clara Alloza
, Simon R. Cox
, Manuel Blesa Cabez, Paul Redmond, Heather Whalley
, Stuart J. Ritchie, Susana Muñoz Maniega
, Maria del C. Valdés Hernández, Elliot Tucker-Drob
, Stephen M. Lawrie
, Joanna M. Wardlaw
, Ian J. Deary, Mark E. Bastin
:
Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study. NeuroImage 183: 884-896 (2018) - [j8]Chen Qin, Ricardo Guerrero, Christopher Bowles
, Liang Chen, David Alexander Dickie
, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert:
A large margin algorithm for automated segmentation of white matter hyperintensity. Pattern Recognit. 77: 150-159 (2018) - [c13]Muhammad Febrian Rachmadi
, Maria del C. Valdés Hernández
, Taku Komura:
Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI. PRIME@MICCAI 2018: 85-93 - [c12]Muhammad Febrian Rachmadi
, Maria del C. Valdés Hernández
, Taku Komura:
Automatic Irregular Texture Detection in Brain MRI Without Human Supervision. MICCAI (3) 2018: 506-513 - [i3]Enrico Pellegrini, Lucia Ballerini, Maria del C. Valdés Hernández, Francesca M. Chappell, Víctor González-Castro, Devasuda Anblagan, Samuel Danso, Susana Muñoz Maniega, Dominic Job, Cyril R. Pernet, Grant Mair, Tom J. MacGillivray, Emanuele Trucco, Joanna M. Wardlaw:
Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis. CoRR abs/1804.01961 (2018) - [i2]Christopher Bowles
, Liang Chen, Ricardo Guerrero, Paul Bentley
, Roger N. Gunn, Alexander Hammers, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert:
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. CoRR abs/1810.10863 (2018) - 2017
- [j7]Muhammad Febrian Rachmadi
, Maria del C. Valdés Hernández
, Maria Leonora Fatimah Agan
, Taku Komura:
Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology. J. Imaging 3(4): 66 (2017) - [j6]Paul Hoffman
, Simon R. Cox
, Dominika Dykiert, Susana Muñoz Maniega
, Maria del C. Valdés Hernández, Mark E. Bastin
, Joanna M. Wardlaw
, Ian J. Deary
:
Brain grey and white matter predictors of verbal ability traits in older age: The Lothian Birth Cohort 1936. NeuroImage 156: 394-402 (2017) - [c11]Muhammad Febrian Rachmadi
, Maria del C. Valdés Hernández
, Maria Leonora Fatimah Agan, Taku Komura:
Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology. MIUA 2017: 482-493 - [c10]Sevim Cengiz
, Maria del C. Valdés Hernández
, Esin Ozturk-Isik
:
Super Resolution Convolutional Neural Networks for Increasing Spatial Resolution of ^1 H Magnetic Resonance Spectroscopic Imaging. MIUA 2017: 641-650 - [e1]Maria del C. Valdés Hernández, Víctor González-Castro:
Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11-13, 2017, Proceedings. Communications in Computer and Information Science 723, Springer 2017, ISBN 978-3-319-60963-8 [contents] - [i1]Lucia Ballerini, Ruggiero Lovreglio, Maria del C. Valdés Hernández, Joel Ramirez, Bradley J. MacIntosh, Sandra E. Black, Joanna M. Wardlaw:
Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering. CoRR abs/1704.07699 (2017) - 2016
- [j5]Jae-il Kim, Maria del C. Valdés Hernández, Natalie A. Royle, Susana Muñoz Maniega
, Benjamin S. Aribisala, Alan J. Gow
, Mark E. Bastin
, Ian J. Deary
, Joanna M. Wardlaw
, Jinah Park
:
3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model. Comput. Methods Programs Biomed. 129: 51-62 (2016) - [j4]Anna K. Heye, Michael J. Thrippleton
, Paul A. Armitage, Maria del C. Valdés Hernández, Stephen D. Makin
, Andreas Glatz, Eleni Sakka, Joanna M. Wardlaw
:
Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability. NeuroImage 125: 446-455 (2016) - [c9]Víctor González-Castro
, Maria del C. Valdés Hernández, Paul A. Armitage, Joanna M. Wardlaw:
Automatic Rating of Perivascular Spaces in Brain MRI Using Bag of Visual Words. ICIAR 2016: 642-649 - [c8]Christopher Bowles
, Chen Qin, Christian Ledig
, Ricardo Guerrero, Roger N. Gunn
, Alexander Hammers
, Eleni Sakka, David Alexander Dickie
, Maria del C. Valdés Hernández, Natalie A. Royle, Joanna M. Wardlaw, Hanneke Rhodius-Meester, Betty M. Tijms
, Afina W. Lemstra
, Wiesje M. van der Flier
, Frederik Barkhof, Philip Scheltens
, Daniel Rueckert:
Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. SASHIMI@MICCAI 2016: 87-96 - [c7]Víctor González-Castro
, Maria del C. Valdés Hernández, Paul A. Armitage, Joanna M. Wardlaw:
Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI. MIUA 2016: 9-14 - [c6]Lucia Ballerini, Ruggiero Lovreglio
, Maria del C. Valdés Hernández, Víctor González-Castro
, Susana Muñoz Maniega
, Enrico Pellegrini
, Mark E. Bastin, Ian J. Deary
, Joanna M. Wardlaw:
Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces. MIUA 2016: 61-67 - 2015
- [j3]Andreas Glatz, Mark E. Bastin
, Alexander J. Kiker, Ian J. Deary
, Joanna M. Wardlaw
, Maria del C. Valdés Hernández:
Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities. NeuroImage 105: 332-346 (2015) - [j2]Jae-il Kim, Maria del C. Valdés Hernández, Natalie A. Royle, Jinah Park
:
Hippocampal Shape Modeling Based on a Progressive Template Surface Deformation and its Verification. IEEE Trans. Medical Imaging 34(6): 1242-1261 (2015) - [c5]Linda Viksne, Maria del C. Valdés Hernández, Katie Hoban, Anna K. Heye, Víctor González-Castro, Joanna M. Wardlaw:
Textural Characterisation on Regions of Interest: A Useful Tool for the Study of Small Vessel Disease. MIUA 2015: 66-71 - 2014
- [c4]Jae-il Kim, Hojin Ryoo, Maria del C. Valdés Hernández, Natalie A. Royle, Jinah Park
:
Brain Ventricular Morphology Analysis Using a Set of Ventricular-Specific Feature Descriptors. ISBMS 2014: 141-149 - [c3]Maria del C. Valdés Hernández, Jae-il Kim, Ian Whiteford, Xinyi Qiu, Joanna M. Wardlaw, Jinah Park:
Automatic Hippocampal Multimodal Assessment for Studies of Stroke and Small Vessel Disease. MIUA 2014: 33-38 - 2013
- [j1]Andreas Glatz, Maria del C. Valdés Hernández, Alexander J. Kiker, Mark E. Bastin
, Ian J. Deary
, Joanna M. Wardlaw
:
Characterization of multifocal T2*-weighted MRI hypointensities in the basal ganglia of elderly, community-dwelling subjects. NeuroImage 82: 470-480 (2013) - 2011
- [c2]Andreas Glatz, Maria del C. Valdés Hernández, Alexander J. Kiker, Mark E. Bastin, Susana Muñoz Maniega, Natalie A. Royle, Ian J. Deary, Joanna M. Wardlaw:
Automatic segmentation of basal ganglia iron deposits from structural MRI. MIUA 2011: 105-110 - 2010
- [c1]Maria del C. Valdés Hernández, Joanna M. Wardlaw, Sean Murphy:
A Comparison of Four Unsupervised Clustering Algorithms for Segmenting Brain Tissue in Multi-spectral MR Data. BIOSIGNALS 2010: 507-514
Coauthor Index
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last updated on 2024-08-08 20:14 CEST by the dblp team
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