Mónica Hernández
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View article: Descriptor-based Structural Similarity and Neural ODEs for Multimodal Diffeomorphic Registration
Descriptor-based Structural Similarity and Neural ODEs for Multimodal Diffeomorphic Registration Open
This work proposes a novel learning-based method to address multimodal diffeomorphic registration. Traditional algorithms that address dense registration use numerical optimization solvers on intensity-based similarity metrics, so they wor…
View article: Multiple sclerosis and rheumatic diseases: Behçet disease, sarcoidosis, and Sjögren syndrome
Multiple sclerosis and rheumatic diseases: Behçet disease, sarcoidosis, and Sjögren syndrome Open
Introduction: Multiple sclerosis can be associated with a range of rheumatic processes. Behçet disease is a relapsing, multisystemic, immune-mediated chronic vasculitic disorder of unknown aetiology, whose symptoms overlap with those of ma…
View article: Multiple sclerosis and rheumatic diseases: Rheumatoid arthritis, antiphospholipid syndrome, and systemic lupus erythematosus
Multiple sclerosis and rheumatic diseases: Rheumatoid arthritis, antiphospholipid syndrome, and systemic lupus erythematosus Open
Introduction: Multiple sclerosis (MS) may be associated with a range of rheumatic diseases. Rheumatoid arthritis is a chronic inflammatory disease typically affecting small- and medium-size joints. MS has been associated with antiphospholi…
View article: PDE-LDDMM meets NODEs: Introducing neural ordinary differential equation solvers in PDE-constrained Large Deformation Diffeomorphic Metric Mapping
PDE-LDDMM meets NODEs: Introducing neural ordinary differential equation solvers in PDE-constrained Large Deformation Diffeomorphic Metric Mapping Open
Non-rigid image registration is a crucial task in various medical applications, allowing the alignment of images with complex spatial or temporal variations. This paper introduces NODEO-LDDMM and NODEO-PDE-LDDMM, two innovative deep-learni…
View article: Insights into traditional Large Deformation Diffeomorphic Metric Mapping and unsupervised deep-learning for diffeomorphic registration and their evaluation
Insights into traditional Large Deformation Diffeomorphic Metric Mapping and unsupervised deep-learning for diffeomorphic registration and their evaluation Open
This paper explores the connections between traditional Large Deformation Diffeomorphic Metric Mapping methods and unsupervised deep-learning approaches for non-rigid registration, particularly emphasizing diffeomorphic registration. The s…
View article: Explainable artificial intelligence toward usable and trustworthy computer-aided diagnosis of multiple sclerosis from Optical Coherence Tomography
Explainable artificial intelligence toward usable and trustworthy computer-aided diagnosis of multiple sclerosis from Optical Coherence Tomography Open
Background Several studies indicate that the anterior visual pathway provides information about the dynamics of axonal degeneration in Multiple Sclerosis (MS). Current research in the field is focused on the quest for the most discriminati…
View article: Impact of pharmacogenomic DPYD variant guided dosing on toxicity in patients receiving fluoropyrimidines for gastrointestinal cancers in a high-volume tertiary centre
Impact of pharmacogenomic DPYD variant guided dosing on toxicity in patients receiving fluoropyrimidines for gastrointestinal cancers in a high-volume tertiary centre Open
Background Dihydropyrimidine dehydrogenase (DPD) is a key enzyme in the metabolism of fluoropyrimidines. Variations in the encoding DPYD gene are associated with severe fluoropyrimidine toxicity and up-front dose reductions are recommended…
View article: Is there discrimination against children of same-sex households? Evidence from an experimental study in Colombia
Is there discrimination against children of same-sex households? Evidence from an experimental study in Colombia Open
We measure the extent of discrimination against same-sex couples by schools in Colombia using a matched-pair correspondence study. We send requests to visit private schools from several couples of different sexual orientation as conveyed b…
View article: Explainable artificial intelligence toward usable and trustworthy computer-aided early diagnosis of multiple sclerosis from Optical Coherence Tomography
Explainable artificial intelligence toward usable and trustworthy computer-aided early diagnosis of multiple sclerosis from Optical Coherence Tomography Open
Background: Several studies indicate that the anterior visual pathway provides information about the dynamics of axonal degeneration in Multiple Sclerosis (MS). Current research in the field is focused on the quest for the most discriminat…
View article: Partial Differential Equation-Constrained Diffeomorphic Registration from Sum of Squared Differences to Normalized Cross-Correlation, Normalized Gradient Fields, and Mutual Information: A Unifying Framework
Partial Differential Equation-Constrained Diffeomorphic Registration from Sum of Squared Differences to Normalized Cross-Correlation, Normalized Gradient Fields, and Mutual Information: A Unifying Framework Open
This work proposes a unifying framework for extending PDE-constrained Large Deformation Diffeomorphic Metric Mapping (PDE-LDDMM) with the sum of squared differences (SSD) to PDE-LDDMM with different image similarity metrics. We focused on …
View article: Explainable AI toward understanding the performance of the top three TADPOLE Challenge methods in the forecast of Alzheimer’s disease diagnosis
Explainable AI toward understanding the performance of the top three TADPOLE Challenge methods in the forecast of Alzheimer’s disease diagnosis Open
The Alzheimer′s Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge is the most comprehensive challenge to date with regard to the number of subjects, considered features, and challenge participants. The initial objective of T…
View article: Efficient momentum conservation constrained PDE-LDDMM with Gauss–Newton–Krylov optimization, Semi-Lagrangian Runge–Kutta solvers, and the band-limited parameterization
Efficient momentum conservation constrained PDE-LDDMM with Gauss–Newton–Krylov optimization, Semi-Lagrangian Runge–Kutta solvers, and the band-limited parameterization Open
This paper proposes three efficient variants of Jacobi EPDiff PDE-LDDMM, where efficiency is achieved through Semi-Lagrangian Runge–Kutta integration and the band-limited parameterization. During Gauss–Newton–Krylov optimization, the metho…
View article: The labour market impact of international trade: Methodological approaches for macro- and meso-level assessments
The labour market impact of international trade: Methodological approaches for macro- and meso-level assessments Open
This working paper examines methodological approaches for the empirical assessment of the labour market impact of international trade at the macro and meso level. It considers the underlying assump- tions, data requirements and the advanta…
View article: Combining the band-limited parameterization and Semi-Lagrangian\n Runge--Kutta integration for efficient PDE-constrained LDDMM
Combining the band-limited parameterization and Semi-Lagrangian\n Runge--Kutta integration for efficient PDE-constrained LDDMM Open
The family of PDE-constrained LDDMM methods is emerging as a particularly\ninteresting approach for physically meaningful diffeomorphic transformations.\nThe original combination of Gauss--Newton--Krylov optimization and Runge--Kutta\ninte…
View article: Analysis of the Influence of Diffeomorphic Normalization in the Prediction of Stable VS Progressive MCI Conversion with Convolutional Neural Networks
Analysis of the Influence of Diffeomorphic Normalization in the Prediction of Stable VS Progressive MCI Conversion with Convolutional Neural Networks Open
We study the effect of the selection of diffeomorphic normalization in the performance of Spasov''s deep-learning system for the problem of progressive MCI vs stable MCI discrimination. We considered different degrees of normalization (no,…
View article: Assessment of the Air Quality in Four Cities with Near Mining Activity in Mexico, using the Grey Clustering Method
Assessment of the Air Quality in Four Cities with Near Mining Activity in Mexico, using the Grey Clustering Method Open
Air pollution is a problem in large cities, which increases with population growth and industrialization. This work assessed air quality in four Mexican cities related to mining activities near monitoring points. The method used for this s…
View article: Evolution of GWAS results through ADNI cohorts
Evolution of GWAS results through ADNI cohorts Open
Genome Wide Association Studies (GWAS) of Alzheimer's disease with quantitative phenotype is an active field of research that has pointed out a number of SNPs potentially related to the disease. Some initiatives such as Alzheimer's Disease…
View article: Efficient Gauss-Newton-Krylov momentum conservation constrained PDE-LDDMM using the band-limited vector field parameterization
Efficient Gauss-Newton-Krylov momentum conservation constrained PDE-LDDMM using the band-limited vector field parameterization Open
The class of non-rigid registration methods proposed in the framework of PDE-constrained Large Deformation Diffeomorphic Metric Mapping is a particularly interesting family of physically meaningful diffeomorphic registration methods. PDE-c…
View article: Newton-Krylov PDE-constrained LDDMM in the space of band-limited vector\n fields
Newton-Krylov PDE-constrained LDDMM in the space of band-limited vector\n fields Open
PDE-constrained Large Deformation Diffeomorphic Metric Mapping is a\nparticularly interesting framework of physically meaningful diffeomorphic\nregistration methods. Newton-Krylov optimization has shown an excellent\nnumerical accuracy and…
View article: Newton-Krylov PDE-constrained LDDMM in the space of band-limited vector fields
Newton-Krylov PDE-constrained LDDMM in the space of band-limited vector fields Open
PDE-constrained Large Deformation Diffeomorphic Metric Mapping is a particularly interesting framework of physically meaningful diffeomorphic registration methods. Newton-Krylov optimization has shown an excellent numerical accuracy and an…
View article: Exome array analysis of adverse reactions to fluoropyrimidine-based therapy for gastrointestinal cancer
Exome array analysis of adverse reactions to fluoropyrimidine-based therapy for gastrointestinal cancer Open
Fluoropyrimidines, including 5-fluororacil (5FU) and its pro-drug Capecitabine, are the common treatment for colorectal, breast, neck and head cancers-either as monotherapy or in combination therapy. Adverse reactions (ADRs) to the treatme…
View article: Understanding the Connections between Inexact Newton- Krylov PDE-Constrained LDDMM and LDDMM via Geodesic Shooting and Efficient Adjoint Calculation
Understanding the Connections between Inexact Newton- Krylov PDE-Constrained LDDMM and LDDMM via Geodesic Shooting and Efficient Adjoint Calculation Open
Ω ⊆ , d = 2, 3. We denote with ( ) Diff Ω to the Riemannian manifold of diffeo-morphisms on Ω.We denote with V to the space of smooth vector fields on Ω. V is the tangent space of the Riemannian structure at the identity