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ORCIDMaria del C. Valdés Hernández
Maria del Carmen 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)- [c24]Benjamin Jin, Maria del C. Valdés Hernández, Alessandro Fontanella, Wenwen Li, Eleanor Platt, Paul A. Armitage, Amos J. Storkey, Joanna M. Wardlaw, Grant Mair:
Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation. DEMI@MICCAI 2024: 73-83 - [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 - [i5]Jesse Phitidis, Alison Q. O'Neil, William Whiteley, Beatrice Alex, Joanna M. Wardlaw, Miguel O. Bernabeu, Maria del C. Valdés Hernández:
Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis. CoRR abs/2410.17124 (2024) - 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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