Proceedings ELMAR-2024: 66th International Symposium ELMAR-2024
Machine learning model for the autism spectrum disorder classification
A deep learning model for brain tumor classification using magnetic resonance images
Age prediction from brain magnetic resonance images based on transfer learning
Magnetic resonance images segmentation and diagnostics using a virtual medical assistant
An autoencoder model for distinguishing premature infants from newborns based on brain magnetic resonance images
Deep Learning Methods for Autism Spectrum Disorder Detection Using Functional MRI
Machine learning approaches for neuroimaging
A machine learning model for the Alzheimer's disease classification using brain magnetic resonance images
Comparison of machine learning models for the autism spectrum disorder classification using brain functional magnetic resonance images
Classification of neurodegenerative disorders using machine learning
Proceedings of the Croatian Computer Vision Workshop (CCVW 2024) - Book of Abstracts
Features Selection for Autism Spectrum Disorder Classification from Functional MRI
Autism spectrum disorder prediction using features of the structural magnetic resonance images of the brain
Global diversity in individualized cortical network topography
Neonatal brain age prediction based on features from the structural MR images
Application of machine learning model for age prediction based on brain MR images
Computer analysis of the neonatal brain MR images
Application of machine learning for schizophrenia detection based on information from brain MR images
Developing Human Connectome Project spatio-temporal surface atlas of the fetal brain
Neural Network for Neonatal Brain Age Prediction from Structural MR Images
Schizophrenia Detection from Resting State Functional MR Images Using Machine Learning
Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria
Developing Human Connectome Project spatio-temporal surface atlas of the fetal brain
Structural and functional asymmetry of the neonatal cerebral cortex
Time Synchronization Properties in OFDM System Based on Cyclic Prefix
Evaluation of Color Saturation and Hue Effects on Image Quality
Proceedings ELMAR-2023: 65th International Symposium ELMAR-2023
Integration of AI into modern medical diagnostics and research
Machine learning in neuroimaging
Medical image analysis of the brain: from newborns to adulthood
Neonatal multi-modal cortical profiles predict 18-month developmental outcomes
Database with Annotated Lung CT Images
Annotated Lung CT Image Database
The Developing Human Connectome Project Neonatal Data Release
Classification of Cognitive Load based on Neurophysiological Features from Functional Near-Infrared Spectroscopy and Electrocardiography Signals on n-back Task
Live UHD/4K Video Transmission over 5G Network
Structural and functional asymmetry of the neonatal cerebral cortex
Classification and feature analysis of the Human Connectome Project dataset for differentiating between males and females
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants
Constructing and evaluating a cortical surface atlas and analyzing cortical sex differences in young Chinese adults
Performance enhancement of LR WPAN spread spectrum system using chaotic spreading sequences
Influence of the population differences on the construction of cortical surface atlases
Air Traffic Control Competencies Measurements based on Functional Near-Infrared Spectroscopy
Modelling brain development to detect white matter injury in term and preterm born neonates
Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain
Sample sizes and population differences in brain template construction
MR brain atlas construction for different populations
Joint Modelling of Brain Tissue Intensity and Shape Across the Perinatal Period in the dHCP
The Developing Human Connectome Project: Neonatal imaging markers of spatiotemporal gene expression
Exploring the Gyral Bias on White Matter Tractography in Neonates
Modelling structural changes in the developing Human Connectome Project with connectivity blueprints
Prefrontal cortex activation during cognitive task as a predictor of stress resilience: fMRI vs fNIRS study
5G Technology for Broadcast TV Applications
Brain MR image feature analysis for discriminating between males and females
Multimodal Surface Matching with Higher-Order Smoothness Constraints
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction
The Developing Human Connectome: announcing the first release of open access neonatal brain imaging
Analysis of soldiers' cognitive performance during Stroop test: An fMRI study
The developing Human Connectome Project automated functional pre-processing pipeline for neonates
The developing Human Connectome Project automated functional processing framework for neonates
Construction of a Neonatal Cortical Surface Atlas Using Multimodal Surface Matching
The developing Human Connectome Project (dHCP): minimal functional pre-processing pipeline for neonates
First thoughts: Quantifying development of neonatal brain function
Longitudinal Alignment of Brain Cortical Anatomy using Strain-Constrained MSM
In Vivo Cortical Myelination of the Neonatal Brain in the Developing Human Connectome Project
Neonatal brain development research using computer analysis of MR images
Fetal and neonatal brain development research using computer analysis of MR images - postdoctoral research at the University of Oxford
Use of volumetric features for temporal comparison of mass lesions in full field digital mammograms
Proceedings ELMAR-2013 : 55th International Symposium ELMAR-2013
Bilateral Mammogram Registration and Temporal Analysis of Lesions in Digital Mammograms
Proceedings ELMAR-2012 : 54th International Symposium ELMAR-2012
Medical Image Analysis at the Video Communications Laboratory
How to write a scientific paper and present it on ELMAR conference
Application of Gabor Filters for Detection of Dense Tissue in Mammograms
Comparison of Lesion Size Using Area and Volume in Full Field Digital Mammograms
Experience from a research visit at the Radboud University Nijmegen Medical Centre
Proceedings ELMAR-2011 : 53rd International Symposium ELMAR-2011
Mammographic Image Analysis
Registration of Mammographic Images for Bilateral Asymmetry Detection
Shape Analysis and Classification of Masses in Mammographic Images using Neural Networks
Validation of Rigid Registration of Mammographic Images
Proceedings ELMAR-2010 : 52nd International Symposium ELMAR-2010
Comparative Analysis of Interpolation Methods for Bilateral Asymmetry
Breast Border Extraction and Pectoral Muscle Detection Using Wavelet Decomposition
Bilateral Asymmetry Detection in Digital Mammography Using B-spline Interpolation
A Survey of Mammographic Image Processing Algorithms for Bilateral Asymmetry Detection
Nipple Detection in Craniocaudal Digital Mammograms
Proceedings ELMAR-2009 : 51st International Symposium ELMAR-2009
A Survey of Image Processing Algorithms in Digital Mammography
Computer-Aided Detection and Diagnosis of Breast Abnormalities in Digital Mammography
Mammographic Image Analysis - Directions for Future Research during PhD Study
Teaching
University undergraduate
- Digital Video (Lecturer in charge)
- Digital Video (Lecturer in charge)
- Final BSc Thesis (Lecturers)
- Project C (Lecturers)
- Project E (Lecturers)
University graduate
- Digital Communications (Lecturer in charge)
- Mobile Internet (Lecturer in charge, Laboratory exercises)
- Networking Technologies (Lecturer in charge)
- Networking Technologies (Lecturer in charge)
- Neuroimaging Analysis (Lecturer in charge)
- Software for Communication Systems (Lecturer in charge)
- Diploma thesis (Lecturers)
- Project (Lecturers)
- Project (Lecturers)
- Project (Lecturers)
- Seminar 1 (Lecturers)
- Seminar 1 (Lecturers)
Postgraduate doctoral study programme
- Communications for Multimedia Services (Lecturer in charge)
Competences
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Computers and information processing
Image processing Image analysis Image registration Image segmentation -
Engineering in medicine and biology
Biomedical image processing Biomedical imaging Neonatology Neurology -
Imaging
Magnetic resonance imaging -
Broadcast technology
Digital multimedia broadcasting Digital video broadcasting -
Computational and artificial intelligence
Machine learning