Maria del C. Valdés Hernández

59 papers Journal 32Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI. CoRR Jesse Phitidis, Alison Q. Smithard, William Whiteley, Joanna M. Wardlaw, Miguel O. Bernabeu, Maria del C. Valdés Hernández
2025	J	`jnl`	AI-based deformable hippocampal mesh reflects hippocampal morphological characteristics in relation to cognition in healthy older adults. NeuroImage Wonjung Park, Maria del C. Valdés Hernández, Jaeil Kim, Susana Muñoz Maniega, Fraser N. Sneden, Karen J. Ferguson, Mark E. Bastin, Joanna M. Wardlaw, Simon R. Cox, Jinah Park
2025	J	`jnl`	Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis. Comput. Methods Programs Biomed. Jesse Phitidis, Alison Q. O'Neil, William Whiteley, Beatrice Alex, Joanna M. Wardlaw, Miguel O. Bernabeu, Maria del C. Valdés Hernández
2025	—	`conf`	Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans. DEMI@MICCAI Benjamin Jin, Grant Mair, Joanna M. Wardlaw, Maria del C. Valdés Hernández
2025	J	`jnl`	Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans. CoRR Benjamin Jin, Grant Mair, Joanna M. Wardlaw, Maria del C. Valdés Hernández
2025	—	`conf`	Robust Windowing Harmonisation for Improved Cross-Scanner Generalisation of White Matter Hypoattenuation Segmentation in Brain CT Clinical Scans. AIiH (2) Nada Alamoudi, Maria del C. Valdés Hernández, Sohan Seth, Joanna M. Wardlaw, Miguel O. Bernabeu
2025	J	`jnl`	Standardized Evaluation of Automatic Methods for Perivascular Spaces Segmentation in MRI - MICCAI 2024 Challenge Results. CoRR Yilei Wu, Yichi Zhang, Zijian Dong, Fang Ji, An Sen Tan, Gifford Tan, Sizhao Tang, Huijuan Chen, Zijiao Chen, Eric Kwun Kei Ng, José Bernal, Hang Min, Ying Xia, Ines Vati, Liz Cooper, Xiaoyu Hu, Yuchen Pei, Yutao Ma, Victor Nozais, Ami Tsuchida, Pierre-Yves Hervé, Philippe Boutinaud, Marc Joliot, Junghwa Kang, Wooseung Kim, Dayeon Bak, Rachika E. Hamadache, Valeriia Abramova, Xavier Lladó, Yuntao Zhu, Zhenyu Gong, Xin Chen, John McFadden, Pek Lan Khong, Roberto Duarte Coello, Hongwei Bran Li, Woon Puay Koh, Christopher Chen, Joanna M. Wardlaw, Maria del C. Valdés Hernández, Juan Helen Zhou
2025	J	`jnl`	Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. Medical Image Anal. Ben Philps, Maria del C. Valdés Hernández, Chen Qin, Una Clancy, Eleni Sakka, Susana Muñoz Maniega, Mark E. Bastin, Angela C. C. Jochems, Joanna M. Wardlaw, Miguel O. Bernabeu
2024	J	`jnl`	Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis. CoRR Jesse Phitidis, Alison Q. O'Neil, William Whiteley, Beatrice Alex, Joanna M. Wardlaw, Miguel O. Bernabeu, Maria del C. Valdés Hernández
2024	—	`conf`	Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. MIUA (2) Jesse Phitidis, Antanas Kascenas, Maria del C. Valdés Hernández, William Whiteley, Joanna M. Wardlaw, Alison Q. O'Neil
2024	—	`conf`	Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation. DEMI@MICCAI Benjamin Jin, Maria del C. Valdés Hernández, Alessandro Fontanella, Wenwen Li, Eleanor Platt, Paul A. Armitage, Amos J. Storkey, Joanna M. Wardlaw, Grant Mair
2024	—	`conf`	Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation. MIUA (1) Ben Philps, Maria del C. Valdés Hernández, Susana Muñoz Maniega, Mark E. Bastin, Eleni Sakka, Una Clancy, Joanna M. Wardlaw, Miguel O. Bernabeu
2024	J	`jnl`	Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain. NeuroImage Jennifer M. J. Waymont, Maria del C. Valdés Hernández, José Bernal, Roberto Duarte Coello, Rosalind Brown, Francesca M. Chappell, Lucia Ballerini, Joanna M. Wardlaw
2024	J	`jnl`	Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. CoRR Ben Philps, Maria del C. Valdés Hernández, Chen Qin, Una Clancy, Eleni Sakka, Susana Muñoz Maniega, Mark E. Bastin, Angela C. C. Jochems, Joanna M. Wardlaw, Miguel O. Bernabeu, Alzheimer's Disease Neuroimaging Initiative
2023	—	`conf`	Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities. UNSURE@MICCAI Ben Philps, Maria del C. Valdés Hernández, Miguel Bernabeu Llinares
2023	—	`conf`	Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. MIUA 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
2022	J	`jnl`	Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols. Frontiers Comput. Neurosci. 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
2021	J	`jnl`	A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage. NeuroImage 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
2021	J	`jnl`	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. Ramya Balakrishnan, Maria del C. Valdés Hernández, Andrew J. Farrall
2021	—	`conf`	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 Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Rizal Maulana, Joanna M. Wardlaw, Stephen D. Makin, Henrik Skibbe
2021	J	`jnl`	Quality control for more reliable integration of deep learning-based image segmentation into medical workflows. CoRR Elena Williams, Sebastian Niehaus, Janis Reinelt, Alberto Merola, Paul Glad Mihai, Ingo Roeder, Nico Scherf, Maria del C. Valdés Hernández
2021	—	`conf`	Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging. MIUA 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
2020	—	`conf`	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 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
2020	J	`jnl`	Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks. Medical Image Anal. Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura
2020	J	`jnl`	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 José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Eleni Sakka, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw
2020	J	`jnl`	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. 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
2020	—	`ed.`	Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Maria del C. Valdés Hernández
2019	—	`conf`	Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease. MIUA José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw
2019	J	`jnl`	Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme. Frontiers Neuroinformatics Carlos Pérez Leguízamo, Maria del C. Valdés Hernández, Muhammad Febrian Rachmadi, Taku Komura
2019	J	`jnl`	Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images. Comput. Medical Imaging Graph. 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
2019	—	`conf`	Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. MICCAI (3) Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura
2018	J	`jnl`	A critical analysis of neuroanatomical software protocols reveals clinically relevant differences in parcellation schemes. NeuroImage Shadia Mikhael, Corné Hoogendoorn, Maria del C. Valdés Hernández, Cyril R. Pernet
2018	J	`jnl`	A large margin algorithm for automated segmentation of white matter hyperintensity. Pattern Recognit. Chen Qin, Ricardo Guerrero, Christopher Bowles, Liang Chen, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert
2018	—	`conf`	Automatic Irregular Texture Detection in Brain MRI Without Human Supervision. MICCAI (3) Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Taku Komura
2018	J	`jnl`	GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. CoRR 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
2018	J	`jnl`	Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis. CoRR 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
2018	J	`jnl`	Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study. NeuroImage 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
2018	J	`jnl`	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. Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Carol Di Perri, Taku Komura
2018	—	`conf`	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 Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Taku Komura
2017	J	`jnl`	Brain grey and white matter predictors of verbal ability traits in older age: The Lothian Birth Cohort 1936. NeuroImage Paul Hoffman, Simon R. Cox, Dominika Dykiert, Susana Muñoz Maniega, Maria del C. Valdés Hernández, Mark E. Bastin, Joanna M. Wardlaw, Ian J. Deary
2017	J	`jnl`	Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology. J. Imaging Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Taku Komura
2017	—	`conf`	Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology. MIUA Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Taku Komura
2017	—	`ed.`	Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11-13, 2017, Proceedings MIUA Maria del C. Valdés Hernández, Víctor González-Castro
2017	J	`jnl`	Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering. CoRR Lucia Ballerini, Ruggiero Lovreglio, Maria del C. Valdés Hernández, Joel Ramirez, Bradley J. MacIntosh, Sandra E. Black, Joanna M. Wardlaw
2017	—	`conf`	Super Resolution Convolutional Neural Networks for Increasing Spatial Resolution of ^1 H Magnetic Resonance Spectroscopic Imaging. MIUA Sevim Cengiz, Maria del C. Valdés Hernández, Esin Ozturk-Isik
2016	J	`jnl`	3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model. Comput. Methods Programs Biomed. 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
2016	—	`conf`	Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces. MIUA 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
2016	—	`conf`	Automatic Rating of Perivascular Spaces in Brain MRI Using Bag of Visual Words. ICIAR Víctor González-Castro, Maria del C. Valdés Hernández, Paul A. Armitage, Joanna M. Wardlaw
2016	—	`conf`	Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. SASHIMI@MICCAI 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
2016	—	`conf`	Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI. MIUA Víctor González-Castro, Maria del C. Valdés Hernández, Paul A. Armitage, Joanna M. Wardlaw
2016	J	`jnl`	Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability. NeuroImage Anna K. Heye, Michael J. Thrippleton, Paul A. Armitage, Maria del C. Valdés Hernández, Stephen D. Makin, Andreas Glatz, Eleni Sakka, Joanna M. Wardlaw
2015	J	`jnl`	Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities. NeuroImage Andreas Glatz, Mark E. Bastin, Alexander J. Kiker, Ian J. Deary, Joanna M. Wardlaw, Maria del C. Valdés Hernández
2015	J	`jnl`	Hippocampal Shape Modeling Based on a Progressive Template Surface Deformation and its Verification. IEEE Trans. Medical Imaging Jae-il Kim, Maria del C. Valdés Hernández, Natalie A. Royle, Jinah Park
2015	—	`conf`	Textural Characterisation on Regions of Interest: A Useful Tool for the Study of Small Vessel Disease. MIUA Linda Viksne, Maria del C. Valdés Hernández, Katie Hoban, Anna K. Heye, Víctor González-Castro, Joanna M. Wardlaw
2014	—	`conf`	Automatic Hippocampal Multimodal Assessment for Studies of Stroke and Small Vessel Disease. MIUA Maria del C. Valdés Hernández, Jae-il Kim, Ian Whiteford, Xinyi Qiu, Joanna M. Wardlaw, Jinah Park
2014	—	`conf`	Brain Ventricular Morphology Analysis Using a Set of Ventricular-Specific Feature Descriptors. ISBMS Jae-il Kim, Hojin Ryoo, Maria del C. Valdés Hernández, Natalie A. Royle, Jinah Park
2013	J	`jnl`	Characterization of multifocal T2*-weighted MRI hypointensities in the basal ganglia of elderly, community-dwelling subjects. NeuroImage Andreas Glatz, Maria del C. Valdés Hernández, Alexander J. Kiker, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw
2011	—	`conf`	Automatic segmentation of basal ganglia iron deposits from structural MRI. MIUA 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
2010	—	`conf`	A Comparison of Four Unsupervised Clustering Algorithms for Segmenting Brain Tissue in Multi-spectral MR Data. BIOSIGNALS Maria del C. Valdés Hernández, Joanna M. Wardlaw, Sean Murphy