A resting-state fMRI analysis model for investigating the effects of psychedelics on the brain
Proceedings ELMAR-2025: 67th International Symposium ELMAR-2025
Machine learning model for ADHD disorder classification based on resting-state functional MRI
Named entity recognition from biomedical text data using deep learning
Machine learning model for handedness prediction based on resting-state functional brain MR images
Preliminary Results on Automated Binary Classification of Congenital Heart Defects in Fetal Ultrasound Images Using Deep Learning Algorithm
Preliminary Results on Automated Binary Classification of Congenital Heart Defects in Fetal Ultrasound Images Using Deep Learning Algorithm
Optimiranje neuronske mreže evolucijskim računanjem za detekciju tumora u MR slikama mozga
Development of a Graphical User Interface for Brain MR Image Analysis Using FreeSurfer Tool
Identification of the most important features in a company performance prediction model
Generating brain MR images using style transfer methods
ADHD classification using machine learning based on resting-state fMRI data
Improving the Quality of Brain MR Images Using Super-Resolution Method
Model for segmentation and analysis of morphometric features from brain MR images
Fetal head segmentation in ultrasound images using deep learning
Review of Preprocessing Steps in Functional MRI
Functional imaging of associative areas of the cerebral cortex
Explainable Artificial Intelligence (XAI) Method for Tumor Classification on Brain MR Images
Machine learning approaches for neuroimaging
Analysis of brain MR images using artificial intelligence methods
Comparison of machine learning models for the autism spectrum disorder classification using brain functional magnetic resonance images
Proceedings ELMAR-2024: 66th International Symposium ELMAR-2024
Autism spectrum disorder prediction using features of the structural magnetic resonance images of the brain
Proceedings of the Croatian Computer Vision Workshop (CCVW 2024) - Book of Abstracts
Features Selection for Autism Spectrum Disorder Classification from Functional MRI
The Role of Artificial Intelligence in Neuroscience
Deep Learning Methods for Autism Spectrum Disorder Detection Using Functional MRI
An autoencoder model for distinguishing premature infants from newborns based on brain magnetic resonance images
Magnetic resonance images segmentation and diagnostics using a virtual medical assistant
Can computational models detect CHD?
Age prediction from brain magnetic resonance images based on transfer learning
A deep learning model for brain tumor classification using magnetic resonance images
Machine learning model for the autism spectrum disorder classification
Classification of neurodegenerative disorders using machine learning
A machine learning model for the Alzheimer's disease classification using brain magnetic resonance images
Evaluation of Color Saturation and Hue Effects on Image Quality
Machine learning in neuroimaging
Imaging Research at the Video Communications Laboratory
Proceedings ELMAR-2023: 65th International Symposium ELMAR-2023
Time Synchronization Properties in OFDM System Based on Cyclic Prefix
Application of machine learning for schizophrenia detection based on information from brain MR images
Computer analysis of the neonatal brain MR images
Application of machine learning model for age prediction based on brain MR images
Neonatal brain age prediction based on features from the structural MR images
Computer-aided detection and diagnosis systems
Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria
Global diversity in individualized cortical network topography
Structural and functional asymmetry of the neonatal cerebral cortex
Schizophrenia Detection from Resting State Functional MR Images Using Machine Learning
Neural Network for Neonatal Brain Age Prediction from Structural MR Images
Developing Human Connectome Project spatio-temporal surface atlas of the fetal brain
Developing Human Connectome Project spatio-temporal surface atlas of the fetal brain
Integration of AI into modern medical diagnostics and research
The Developing Human Connectome Project Neonatal Data Release
Annotated Lung CT Image Database
Database with Annotated Lung CT Images
Neonatal multi-modal cortical profiles predict 18-month developmental outcomes
Medical image analysis of the brain: from newborns to adulthood
Classification and feature analysis of the Human Connectome Project dataset for differentiating between males and females
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
Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain
Performance enhancement of LR WPAN spread spectrum system using chaotic spreading sequences
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants
Air Traffic Control Competencies Measurements based on Functional Near-Infrared Spectroscopy
Influence of the population differences on the construction of cortical surface atlases
Sample sizes and population differences in brain template construction
Modelling brain development to detect white matter injury in term and preterm born neonates
Constructing and evaluating a cortical surface atlas and analyzing cortical sex differences in young Chinese adults
5G Technology for Broadcast TV Applications
MR brain atlas construction for different populations
Brain MR image feature analysis for discriminating between males and females
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
Prefrontal cortex activation during cognitive task as a predictor of stress resilience: fMRI vs fNIRS study
Exploring the Gyral Bias on White Matter Tractography in Neonates
Modelling structural changes in the developing Human Connectome Project with connectivity blueprints
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction
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 automated functional pre-processing pipeline for neonates
Analysis of soldiers' cognitive performance during Stroop test: An fMRI study
The developing Human Connectome Project automated functional processing framework for neonates
The Developing Human Connectome: announcing the first release of open access neonatal brain imaging
First thoughts: Quantifying development of neonatal brain function
Construction of a Neonatal Cortical Surface Atlas Using Multimodal Surface Matching
Neonatal brain development research using computer analysis of MR images
The developing Human Connectome Project (dHCP): minimal functional pre-processing pipeline for neonates
In Vivo Cortical Myelination of the Neonatal Brain in the Developing Human Connectome Project
Longitudinal Alignment of Brain Cortical Anatomy using Strain-Constrained MSM
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
Registracija bilateralnih mamograma i analiza lezija iz vremenski odmaknutih digitalnih mamograma
Proceedings ELMAR-2013 : 55th International Symposium ELMAR-2013
Application of Gabor Filters for Detection of Dense Tissue in Mammograms
Experience from a research visit at the Radboud University Nijmegen Medical Centre
Comparison of Lesion Size Using Area and Volume in Full Field Digital Mammograms
Medical Image Analysis at the Video Communications Laboratory
How to write a scientific paper and present it on ELMAR conference
Proceedings ELMAR-2012 : 54th International Symposium ELMAR-2012
Proceedings ELMAR-2011 : 53rd International Symposium ELMAR-2011
Mammographic Image Analysis
Validation of Rigid Registration of Mammographic Images
Registration of Mammographic Images for Bilateral Asymmetry Detection
Shape Analysis and Classification of Masses in Mammographic Images using Neural Networks
Comparative Analysis of Interpolation Methods for Bilateral Asymmetry
Proceedings ELMAR-2010 : 52nd International Symposium ELMAR-2010
Nipple Detection in Craniocaudal Digital Mammograms
Bilateral Asymmetry Detection in Digital Mammography Using B-spline Interpolation
Proceedings ELMAR-2009 : 51st International Symposium ELMAR-2009
Breast Border Extraction and Pectoral Muscle Detection Using Wavelet Decomposition
A Survey of Mammographic Image Processing Algorithms for Bilateral Asymmetry Detection
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)
- Networking Technologies (Lecturer in charge)
- Networking Technologies (Lecturer in charge)
- Neuroimaging Analysis (Lecturer in charge)
- Software for Communication Systems (Lecturer in charge)
- Software for Communication Systems (Lecturer in charge)
- Diploma thesis (Lecturers)
- Master Project (Lecturers)
- Mentorship Seminar (Lecturers)
- Mentorship Seminar (Lecturers)
- Project (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
Pristupačnost