PristupačnostNa FER-u postoji više zaposlenika s imenom
Model za analizu fMRI u stanju mirovanja za ispitivanje utjecaja psihodelika na mozak
Proceedings ELMAR-2025: 67th International Symposium ELMAR-2025
Model strojnog učenja za klasifikaciju poremećaja ADHD temeljem funkcijskih MR slika u stanju mirovanja
Prepoznavanje imenovanih entiteta iz biomedicinskih tekstnih podataka pomoću dubokog učenja
Model strojnog učenja za predikciju dominantnosti ruke temeljem funkcijskih MR slika mozga u stanju mirovanja
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
Evolutionary computing optimization of neural network for tumor detection in brain MR images
Izrada grafičkog korisničkog sučelja za analizu MR slika mozga korištenjem alata FreeSurfer
Identifikacija najvažnijih značajki u modelu predviđanja uspješnosti poduzeća
Generiranje MR slika mozga primjenom metoda prijenosa stila
Klasifikacija ADHD-a pomoću strojnog učenja na temelju fMRI podataka u stanju mirovanja
Poboljšanje kvalitete MR slika mozga primjenom metode super-razlučivosti
Model za segmentaciju i analizu morfometrijskih značajki iz MR slika mozga
Segmentacija glave fetusa na ultrazvučnim slikama korištenjem dubokog učenja
Review of Preprocessing Steps in Functional MRI
Functional imaging of associative areas of the cerebral cortex
Metoda objašnjive umjetne inteligencije (XAI) za klasifikaciju tumora na MR slikama mozga
Machine learning approaches for neuroimaging
Analiza MR slika mozga korištenjem metoda umjetne inteligencije
Usporedba modela strojnog učenja za klasifikaciju poremećaja iz spektra autizma korištenjem slika funkcijske magnetske rezonancije mozga
Proceedings ELMAR-2024: 66th International Symposium ELMAR-2024
Predikcija poremećaja iz spektra autizma korištenjem značajki strukturnih slika magnetske rezonancije mozga
Proceedings of the Croatian Computer Vision Workshop (CCVW 2024) - Book of Abstracts
Features Selection for Autism Spectrum Disorder Classification from Functional MRI
Uloga umjetne inteligencije u neuroznanosti
Deep Learning Methods for Autism Spectrum Disorder Detection Using Functional MRI
Model autoenkodera za razlikovanje nedonoščadi od novorođenčadi na temelju slika magnetske rezonancije mozga
Segmentacija slika magnetske rezonancije i dijagnostika pomoću virtualnog medicinskog asistenta
Može li se računalnim modelima detektirati PSG?
Predikcija dobi iz slika magnetske rezonancije mozga temeljena na prijenosnom učenju
Model dubokog učenja za klasifikaciju tumora mozga uporabom slika magnetske rezonancije
Model strojnog učenja za klasifikaciju poremećaja iz spektra autizma
Klasifikacija neurodegenerativnih poremećaja korištenjem strojnog učenja
Model strojnog učenja za klasifikaciju Alzheimerove bolesti uporabom slika magnetske rezonancije mozga
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
Primjena strojnog učenja za detekciju shizofrenije temeljem informacija iz MR slika mozga
Računalna analiza MR slika mozga novorođenčeta
Primjena modela strojnog učenja za predikciju dobi iz MR slika mozga
Predikcija starosti mozga novorođenčeta temeljem značajki iz strukturnih MR slika
Sustavi za računalno potpomognutu detekciju i dijagnozu
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
Istraživanje razvoja mozga novorođenčeta računalnom analizom MR slika
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
Istraživanje razvoja mozga fetusa i novorođenčeta računalnom analizom MR slika - poslijedoktorsko istraživanje na Sveučilištu u Oxfordu
Use of volumetric features for temporal comparison of mass lesions in full field digital mammograms
Bilateral Mammogram Registration and Temporal Analysis of Lesions in Digital Mammograms
Proceedings ELMAR-2013 : 55th International Symposium ELMAR-2013
Application of Gabor Filters for Detection of Dense Tissue in Mammograms
Iskustva s istraživačkog boravka u 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
Kako napisati znanstveni članak & prezentirati ga na konferenciji ELMAR
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
Nastava
Sveučilišni preddiplomski
- Digitalni video (Nositelj)
- Digitalni video (Nositelj)
- Projekt E (Predavanja)
- Projekt R (Predavanja)
- Završni rad (Predavanja)
Sveučilišni diplomski
- Digitalne komunikacije (Nositelj)
- Programska potpora komunikacijskim sustavima (Nositelj)
- Programska potpora komunikacijskim sustavima (Nositelj)
- Računalna analiza slika mozga (Nositelj)
- Tehnologije umrežavanja (Nositelj)
- Tehnologije umrežavanja (Nositelj)
- Diplomski projekt (Predavanja)
- Diplomski projekt (Predavanja)
- Diplomski rad (Predavanja)
- Mentorski seminar (Predavanja)
- Mentorski seminar (Predavanja)
- Mobilni Internet (Auditorne vježbe)
Poslijediplomski doktorski
- Komunikacije za multimedijske usluge (Nositelj)
Kompetencije
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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
Osobni podaci
Izabrani projekti
2018. - 2021. istraživač na projektu "DATACROSS – Napredne metode i tehnologije u znanosti o podacima i kooperativnim sustavima – KK.01.1.1.01.0009" (EFFR – poziv: Vrhunska istraživanja Znanstvenih centara izvrsnosti; voditelji: prof. dr. sc. Ivan Petrović i prof. dr. sc. Sven Lončarić).
2013. - 2015. poslijedoktorski istraživač na projektu "Developing Human Connectome Project" u FMRIB Centre, University of Oxford (European Research Council, FP/2007-2013 br. 319456, voditelji: prof. dr. sc. Stephen Smith, prof. dr. sc. Daniel Rueckert, prof. dr. sc. Joseph Hajnal, prof. dr. sc. David Edwards).
2008. - 2013. znanstveni novak na projektu "Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja" (036-0982560-1643, voditelj: prof. dr. sc. Mislav Grgić) kojega je financiralo Ministarstvo znanosti, obrazovanja i športa Republike Hrvatske