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Magnús Örn Úlfarsson - Prófessor

Magnús Örn Úlfarsson

–

Verkfræði- og náttúruvísindasvið

Magnús Örn Úlfarsson

Prófessor

Aðsetur
VR-2 / V02-359
Sími
5255281
Tölvupóstur
mou [hjá] hi.is

Starfseining
Rafmagns- og tölvuverkfræðideild
Vefsíða
https://www.researchgate.net/profile/Magnus_Ulfarsson
Ritaskrá
Magnús Örn Úlfarsson - ritaskrá

Ferilskrá
Magnús Örn Úlfarsson - ferilskrá
Viðtalstímar
Eftir samkomulagi. Vinsamlegast sendið tölvupóst.
ORCID vefsíða
https://orcid.org/0000-0002-0461-040X
Rannsóknagátt – Magnús Örn Úlfarsson

Útgefið efni

2024

Pattern-invariant Unrolling for Robust Demosaicking
Transformers significantly improve splice site predictionCommunications Biology
Exploring Transformer-Based Direction-of-Arrival Estimation Over Sea SurfaceIEEE Transactions on Geoscience and Remote Sensing
Sequence variants associated with BMI affect disease risk through BMI itselfNature Communications
Genome-Wide Association Study of Accessory Atrioventricular PathwaysJAMA Cardiology
Integrative common and rare variant analyses provide insights into the genetic architecture of liver cirrhosisNature Genetics
Correction toNature

2023

Unsupervised Sentinel-2 Image Fusion Using a Deep Unrolling MethodIEEE Geoscience and Remote Sensing Letters
Synthesis of Synthetic Hyperspectral Images with Controllable Spectral Variability Using a Generative Adversarial NetworkRemote Sensing
Large-scale plasma proteomics comparisons through genetics and disease associationsNature
Spectral-Spatial Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification
Sequence variants affecting voice pitch in humansScience advances
Physical and cognitive impact following SARS-CoV-2 infection in a large population-based case-control studyCommunications Medicine
Hyperspectral Image Denoising Using Low-Rank and Sparse Model Based Deep Unrolling
Superresolving Sentinel-2 Using Learned Multispectral Regularization
Genetics and epidemiology of mutational barcode-defined clonal hematopoiesisNature Genetics
Evaluation of Large-Scale Proteomics for Prediction of Cardiovascular EventsJAMA
Complex effects of sequence variants on lipid levels and coronary artery diseaseCell
Histopathology and levels of proteins in plasma associate with survival after colorectal cancer diagnosisBritish Journal of Cancer
Dématriçage basé sur un modèle du motif Sparse3
Model-Based Demosaicking for Acquisitions by a Rgbw Color Filter Array
Sure-Ergas

2022

Predicting Classification Performance for Benchmark Hyperspectral DatasetsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multiomics study of nonalcoholic fatty liver diseaseNature Genetics
Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral ImagesIEEE Geoscience and Remote Sensing Letters
Hyperspectral Super-Resolution by Unsupervised Convolutional Neural Network and Sure
Blind Hyperspectral Unmixing using AutoencodersIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Synthetic Hyperspectral Images With Controllable Spectral Variability and Ground TruthIEEE Geoscience and Remote Sensing Letters
Thirty novel sequence variants impacting human intracranial volumeBrain Communications
Deep Sparse and Low-Rank Prior for Hyperspectral Image Denoising
Neuroimaging Findings in Neurodevelopmental Copy Number VariantsBiological Psychiatry
The sequences of 150,119 genomes in the UK BiobankNature
Hyperspectral Image Denoising Using Spectral-Spatial Transform-Based Sparse and Low-Rank RepresentationsIEEE Transactions on Geoscience and Remote Sensing
Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based MethodRemote Sensing
Deep SURE for Unsupervised Remote Sensing Image FusionIEEE Transactions on Geoscience and Remote Sensing

2021

SHARPENING THE 20 M BANDS OF SENTINEL-2 IMAGE USING AN UNSUPERVISED CONVOLUTIONAL NEURAL NETWORK
TUNING PARAMETER SELECTION FOR SENTINEL-2 SHARPENING USING WALD'S PROTOCOL
Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural NetworksIEEE Transactions on Geoscience and Remote Sensing
Predicting the probability of death using proteomicsCommunications Biology
WAVELET-BASED BLOCK LOW-RANK REPRESENTATIONS FOR HYPERSPECTRAL DENOISING
Convolutional Autoencoder for Spectral-Spatial Hyperspectral UnmixingIEEE Transactions on Geoscience and Remote Sensing
A New Benchmark Based on Recent Advances in Multispectral PansharpeningIEEE Geoscience and Remote Sensing Magazine
A comparison of optimized sentinel-2 super-resolution methods using wald’s protocol and bayesian optimizationRemote Sensing
1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humansTranslational Psychiatry
Large-scale integration of the plasma proteome with genetics and diseaseNature Genetics
Fully Constrained Least Squares Linear Spectral Unmixing of the Scream (Verso, 1893)
Analysis of Diffusion Tensor Imaging Data From the UK Biobank Confirms Dosage Effect of 15q11.2 Copy Number Variation on White Matter and Shows Association With CognitionBiological Psychiatry
FUSING SENTINEL-2 SATELLITE IMAGES AND AERIAL RGB IMAGES
Effects of copy number variations on brain structure and risk for psychiatric illnessHuman Brain Mapping
Sentinel-2 Sharpening Using a Single Unsupervised Convolutional Neural Network with MTF-Based Degradation ModelIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
NON-LOCAL MEANS LOW-RANK APPROXIMATION FOR HYPERSPECTRAL DENOISING

2020

Association of Copy Number Variation of the 15q11.2 BP1-BP2 Region With Cortical and Subcortical Morphology and CognitionJAMA Psychiatry
Local Spatial-Spectral Correlation Based Mixtures of Factor Analyzers for Hyperspectral Denoising
Hyperspectral Images Denoising Based on Mixtures of Factor Analyzers
CorrectionMolecular Psychiatry
Sure Based Convolutional Neural Networks for Hyperspectral Image Denoising
Model-Based Reduced-Rank PansharpeningIEEE Geoscience and Remote Sensing Letters
Zero-Shot Sentinel-2 Sharpening Using a Symmetric Skipped Connection Convolutional Neural Network
Lava Flow Roughness on the 2014–2015 Lava Flow-Field at Holuhraun, Iceland, Derived from Airborne LiDAR and PhotogrammetryGeosciences
Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers - Remote SensingRemote Sensing
Analysis of diffusion tensor imaging data from UK Biobank confirms dosage effect of 15q11.2 copy-number variation on white matter and shows association with cognition
Sequence Variants in TAAR5 and Other Loci Affect Human Odor Perception and NamingCurrent Biology
Creating RGB Images from Hyperspectral Images Using a Color Matching Function

2019

Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms for Hyperspectral Images Classification
Sentinel-2 sharpening using a reduced-rank methodIEEE Transactions on Geoscience and Remote Sensing
Multitask Learning for Spatial-Spectral Hyperspectral Unmixing
Reciprocal White Matter Changes Associated With Copy Number Variation at 15q11.2 BP1-BP2: A Diffusion Tensor Imaging StudyBiological Psychiatry
A metrological spectral difference space for the statistical modelling of hyperspectral images
Optimal Component Substitution and Multi-Resolution Analysis Pansharpening Methods Using a Convolutional Neural Network
Thermal model of lava in Mt. Agung during December 2017 episodes derived from Integrated SENTINEL 2A and ASTER remote sensing datasetsIOP Conference Series: Earth and Environmental Science
(Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms for Hyperspectral Images Classification
The 2014-2015 lava flow field at Holuhraun, IcelandRemote Sensing
Spectral-Spatial Hyperspectral Unmixing Using Multitask LearningIEEE Access
Weighted Blind ℓ_q Hyperspectral Unmixing
Brain age prediction using deep learning uncovers associated sequence variantsNature Communications

2018

Sparse and smooth feature extraction for hyperspectral imagery
Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal gangliaMolecular Psychiatry
Label Noise Robust Classification of Hyperspectral Data
Hyperspectral Unmixing Using a Neural Network AutoencoderIEEE Access
New Insights for Detecting and Deriving Thermal Properties of Lava Flow Using Infrared Satellite during 2014–2015 Effusive Eruption at Holuhraun, IcelandRemote Sensing
Sentinel-2 Image Fusion Using a Deep Residual NetworkRemote Sensing
Blind sparse nonlinear hyperspectral unmixing using an ℓ_q penaltyIEEE Geoscience and Remote Sensing Letters
Single Sensor Image Fusion Using a Deep Residual Network
Blind sparse nonlinear hyperspectral unmixing using an ℓ<sub>q</sub> penaltyIEEE Geoscience and Remote Sensing Letters
MAP1B mutations cause intellectual disability and extensive white matter deficitNature Communications
Parameter Estimation for Blind l<sub>q</sub> Hyperspectral Unmixing Using Bayesian Optimization
Blind nonlinear hyperspectral unmixing using an ℓ_Q regularizer
A low-rank method for sentinel-2 sharpening using cyclic descent
Single Sensor Image Fusion Using A Deep Convolutional Generative Adversarial Network
Parameter Estimation for Blind l<sub>q</sub> Hyperspectral Unmixing Using Bayesian Optimization

2017

Fast multitemporal hyperspectral unmixing
Sparse and low rank hyperspectral unmixing
Sparse Distributed Multitemporal Hyperspectral UnmixingIEEE Transactions on Geoscience and Remote Sensing
Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural NetworkIEEE Geoscience and Remote Sensing Letters
Neural network hyperspectral unmixing with spectral information divergence objective
15q11.2 CNV affects cognitive, structural and functional correlates of dyslexia and dyscalculiaTranslational Psychiatry
Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank ModelingIEEE Geoscience and Remote Sensing Letters

2016

Blind Hyperspectral Unmixing Using Total Variation and ℓ_q Sparse RegularizationIEEE Transactions on Geoscience and Remote Sensing
Distributed dyadic cyclic descent for non-negative matrix factorization
Large-scale l0 sparse inverse covariance estimation
MTF-Based Deblurring Using a Wiener Filter for CS and MRA Pansharpening MethodsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Quantitative Quality Evaluation of Pansharpened ImageryIEEE Transactions on Geoscience and Remote Sensing
Classification of Big Data with Application to Imaging GeneticsProceedings of the IEEE
Hyperspectral Feature Extraction Using Total Variation Component AnalysisIEEE Transactions on Geoscience and Remote Sensing
Large-scale l<inf>0</inf> sparse inverse covariance estimation
Sparse distributed hyperspectral unmixing

2015

Total variation and ℓ_q based hyperspectral unmixing for feature extraction and classification
Total variation and ℓ<inf>q</inf> based hyperspectral unmixing for feature extraction and classification
MTP deblurring preprocessing for CS and MRA pansharpening methods
MIST: L<inf>0</inf> sparse linear regression with momentum
MIST: L<inf>0</inf> sparse linear regression with momentum
Selecting the number of principal components with SUREIEEE Signal Processing Letters
Sparse and low rank decomposition using l₀ penalty
MTF-deblurring preprocessing for CS and MRA pansharpening methods
Hyperspectral Subspace Identification Using SUREIEEE Geoscience and Remote Sensing Letters
Model-based fusion of multi-and hyperspectral images using PCA and waveletsIEEE Transactions on Geoscience and Remote Sensing
Model based pansharpening method based on TV and MTF deblurring

2014

Hyperspectral image denoising using a sparse low rank model and dual-tree complex wavelet transform
Sparse component analysis via dyadic cyclic descent
Hyperspectral Unmixing Using ℓq PenaltyIEEE Transactions on Geoscience and Remote Sensing
Model based PCA/wavelet fusion of multispectral and hyperspectral images
Semi-supervised hyperspectral unmixing
Spectral–Spatial Classification of Hyperspectral Images Based on Hidden Markov Random FieldsIEEE Transactions on Geoscience and Remote Sensing
Hyperspectral image denoising using first order spectral roughness penalty in wavelet domainIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sparse Gaussian noisy independent component analysis
Sure based model selection for hyperspectral imaging
Endmember constrained semi-supervised hyperspectral unmixing
A new pansharpening algorithm based on total variationIEEE Geoscience and Remote Sensing Letters
Total variation based hyperspectral feature extraction
Magnetic resonance imaging of time-varying magnetic fields from therapeutic devicesNMR in Biomedicine
Wavelet-based sparse reduced-rank regression for hyperspectral image restorationIEEE Transactions on Geoscience and Remote Sensing
Hyperspectral unmixing with <sub>q</sub> regularizationIEEE Transactions on Geoscience and Remote Sensing
Hyperspectral unmixing with <sub>q</sub> regularizationIEEE Transactions on Geoscience and Remote Sensing

2013

Hyperspectral image denoising using a new linear model and Sparse Regularization
The spectral-spatial classification of hyperspectral images based on Hidden Markov Random Field and its Expectation-Maximization
Smooth spectral unmixing using total variation regularization and a first order roughness penalty
Pansharpening via sparsity optimization using overcomplete transforms
Smooth and sparse hyperspectral unmixing using an l<inf>0</inf> penalty
First order roughness penalty for hyperspectral image denoising
Tuning parameter selection for underdetermined reduced-rank regressionIEEE Signal Processing Letters
Smooth and sparse hyperspectral unmixing using an l<sub>0</sub> penalty
Magnetic resonance imaging of time-varying magnetic fields from therapeutic devicesNMR in Biomedicine
Sparse representation of hyperspectral data using CUR matrix decomposition
Tuning parameter selection for nonnegative matrix factorization
Wavelet based sparse Principal Component Analysis for hyperspectral denoising
Hyperspectral image restoration using wavelets
Wavelet based hyperspectral image restoration using spatial and spectral penalties
Smooth and sparse hyperspectral unmixing using an l₀ penalty

2012

A new pansharpening method using an explicit image formation model regularized via Total Variation
Hyperspectral image denoising using 3D wavelets
Sparse loading noisy PCA using an l <sub>0</sub> penalty
SAR image denoising using total variation based regularization with sure-based optimization of the regularization parameter
Sparse loading noisy PCA using an l <sub>0</sub> penalty
A smooth hyperspectral unmixing method using cyclic descent

2011

Vector l<sub>0</sub> sparse variable PCAIEEE Transactions on Signal Processing
Neuronal event detection in fMRI time series using iterative deconvolution techniquesMagnetic Resonance Imaging
Time- and frequency-domain characteristics of atrial electrograms during sinus rhythm and atrial fibrillationJournal of Cardiovascular Electrophysiology
Sparse variable reduced rank regression via Stiefel optimization
Vector $l_0$ Sparse Variable PCAIEEE Transactions on Signal Processing
Left atrial pressure and dominant frequency of atrial fibrillation in humansHeart Rhythm
Vector l<sub>0</sub> sparse variable PCAIEEE Transactions on Signal Processing

2010

Effect of linear ablation on spectral components of atrial fibrillationHeart Rhythm
Threshold selection for group sparsity
A semiparametric PCA approach to fMRI data analysis
Sparse variable noisy pca using l₀ penalty
Super-Resolution
Smooth noisy PCA using a 1<sup>st</sup> order roughness penalty
Smooth noisy PCA using a 1<sup>st</sup> order roughness penalty

2009

Relationship between the spectral characteristics of atrial fibrillation and atrial tachycardias that occur after catheter ablation of atrial fibrillationHeart Rhythm
Speckle reduction of SAR images using SURE-based adaptive sigmoid thresholding in the wavelet domain
Sparse variable PCA using a steepest descent on a Grassman manifold

2008

Complex electrograms within the coronary sinusJournal of Cardiovascular Electrophysiology
Dimension estimation in noisy PCA with SURE and random matrix theoryIEEE Transactions on Signal Processing
Rank selection in noisy PCA with sure and random matrix theory
Sparse variable PCA using geodesic steepest descentIEEE Transactions on Signal Processing

2007

Sparse variable principal component analysis with application to FMRI

2006

Spatially local and temporally smooth PCA for fMRI
Smooth principal component analysis with application to functional magnetic resonance imaging

2003

Data fusion and feature extraction in the wavelet domainInternational Journal of Remote Sensing
Wavelet Footprints for Speckle Reduction of SAR Images

2002

Speckle reduction of SAR images in the curvelet domain
Denoising in the Curvelet DomainVerktækni - tímarit VFÍ
Wavelet feature extraction and genetic feature selection for multisource data

2001

Cluster-based feature extraction and data fusion in the wavelet domain

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