PORTFELJ / Dr. Sc. Franko Hržić mag. ing. comp.

Portfelj

Dr. Sc.

Franko Hržić

mag. ing. comp.

Tehnički fakultet

Zavod za računarstvo

Kontakt

T +385 51 651725

UNIRI e-mail

PROSTORIJA 1-65

Vidljivost

Obrazovanje

15.05.2024. - 15.05.2025.

Postdoctoral Fellow

Musculoskeletal Digital Innovation & Informatics Program

Harvard Medical School, Boston Childrens' Hospital

01.10.2017. - 24.11.2022.

Dr. Sc.

Poslijediplomski doktorski studij iz područja Tehničkih znanosti, polje Računarstvo

Sveučilište u Rijeci, Tehnički fakultet

01.10.2015. - 15.07.2017.

mag. ing. comp

Diplomski sveučilišni studij računarstva

Tehnički fakultet, Sveučilište u Rijeci

01.10.2012. - 15.07.2015.

univ. bacc. ing. comp

Preddiplomski sveučilišni studij Računarstva

Tehnički fakultet, Sveučilište u Rijeci

Radno iskustvo

15.05.2024. - 15.05.2025.

Poslijedoktorsko usavršavanje

Poslijedoktorand at Musculoskeletal Digital Innovation & Informatics Program pod supervizijom dr. sc. Ata Kiapoura

Harvard Medical School, Boston Childrens' Hospital

01.10.2022. -

Viši asistent

Viši Asistent na zavodu za Računarstvo na Tehničkom fakultetu u Rijeci

Sveučilište i Rijeci, Tehnički Fakultet

01.10.2017. - 01.10.2022.

Asistent

Asistent na zavodu za Računarstvo na Tehničkom fakultetu u Rijeci

Sveučilište u Rijeci, Tehnički fakultet

Nagrade i priznanja

28.11.2022.

Nagrade Zaklade Sveučilišta u Rijeci za 2021. u kategoriji mladi znanstvenik za tehničke i prirodne znanosti.

09.12.2020.

UNIRI: Nagrada za nastavnu izvrnost u akademskoj godini 2019./2020.

21.07.2018.

Summer school on image processing 2018, Graz, Best Project award.

06.05.2018.

12 th Annual RIN Baška GNSS Conference – Best student’s paper award,

25.04.2017.

Rektorova nagrada za studentski stručni / znanstveni / umjetnički rad

01.11.2016.

Dekanova nagrada za studentski aktivizam.

01.11.2016.

Dekanova nagrada za izvrsnost.

01.11.2015.

Dekanova nagrada za izvrsnost.

01.11.2014.

Dekanova nagrada za izvrsnost.

01.11.2013.

Dekanova nagrada za izvrsnost.

01.11.2012.

Dekanova nagrada za izvrsnost.

Članstva

2025. -

med&x

01.10.2017. -

The Royal Institute of Navigation

2016. - 2022.

Riteh Drone Team

01.10.2013. - 01.10.2017.

IEEE

Nastavna djelatnost

Kolegiji

01.10.2017. - 01.10.2018.

Databases

Undergraduate University Study of Computing

University of Rijeka, Faculty of Engineering

Teaching assistant

01.10.2017. -

Strojno učenje

Diplomski sveučilišni studij računarstva

Tehnički fakultet, Sveučilište u Rijeci

Asistent

01.10.2017. -

Introduction to Artificial Intelligence

Undergraduate University Study of Computing

University of Rijeka, Faculty of Engineering

Teaching assistant

01.10.2017. -

Introduction to Programming

Undergraduate University Study of Computing

University of Rijeka, Faculty of Engineering

Teaching assistant

Osobni razvoj

22.09.2019. - 28.09.2019.

Edukacija u sklopu bilateralnog projekta

Financiranje: 40 sati

01.06.2019. - 31.07.2019.

Razmjena studenata

Financiranje: 328 sati

01.06.2018. - 31.07.2018.

Razmjena studenata

Financiranje: 336 sati

Znanstvena djelatnost

Znanstveni radovi

2025.

Forecasting the trajectory of personal watercrafts using models based on recurrent neural networks

Žužić, Lucija; Hržić, Franko; Lerga, Jonatan

Expert Systems with Applications

https://doi.org/10.1016/j.eswa.2025.127964

Q1 WOS

2025.

Bayesian and Markov chain approach to short-term and long-term personal watercraft trajectory forecasting

Žužić, Lucija; Hržić, Franko; Lerga, Jonatan

Journal of the Franklin Institute

https://doi.org/10.1016/j.jfranklin.2025.107509

Q1 WOS

2025.

Estimation of Missing DICOM Windowing Parameters inHigh-Dynamic-Range Radiographs Using Deep Learning

Napravnik, Mateja; Bakotić, Natali; Hržić, Franko; Miletić, Damir; Štajduhar, Ivan

Mathematics

https://doi.org/10.3390/math13101596

Q1 WOS

2025.

Impact of test set composition on AI performance in pediatric wrist fracture detection in X-rays

Till, Tristan; Scherkl, Mario; Stranger, Nikolaus; Singer, George; Hankel, Saskia; Flucher, Christina; Hržić, Franko; Štajduhar, Ivan; Tschauner, Sebastian

European Radiology

https://doi.org/10.1007/s00330-025-11669-z

Q1 WOS

2025.

Evaluation of synthetic data impact on fire segmentation models performance

Arlović, Matej; Hržić, Franko; Patel, Mitesh; Bednarz, Tomasz; Balen, Josip

Scientific Reports

https://doi.org/10.1038/s41598-025-01571-5

Q1 WOS

2025.

Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology

Napravnik, Mateja; Hržić, Franko; Urschler, Martin; Miletić, Damir; Štajduhar, Ivan

European Radiology

https://doi.org/10.1007/s00330-025-11669-z

Q1 WOS

2025.

A simple and effective approach for body part recognition on CT scans based on projection estimation

Hržić, Franko; Movahhedi, Mohammadreza; Lavoie-Gagne, Ophelie; Kiapour, Ata

Scientific Reports

https://doi.org/10.1038/s41598-025-17174-z

Q1 WOS

2025.

Automated AI fracture detection in initial presentation pediatric wrist X-rays: effects and benefits of adding follow-up examinations

Scherkl, Mario; Stranger, Nikolaus; Ciornei-Hoffman, Andreea; Singer, Georg; Till, Tristan; Till, Holger; Hržić, Franko; Tschauner, Sebastian

La Radiologia Medica

https://doi.org/10.1007/s11547-025-02153-1

Q1 WOS

2025.

Collision course detection for personal watercrafts using models based on recurrent neural networks

Žužić, Lucija; Hržić, Franko; Lerga, Jonatan

Knowledge-Based Systems

https://doi.org/10.1016/j.knosys.2025.114974

Q1 WOS

2025.

Class-specific image segmentation across multiple domains using customized U-Net pipelines

Žužić, Lucija; Hržić, Franko; Li, Xiumei; Lerga, Jonatan

Expert Systems with Applications

https://doi.org/10.1016/j.eswa.2025.129203

Q1 WOS

2024.

Ensemble-based uncertainty estimation model for fire detection in indoor environments

Arlović, Matej; Patel, Mitesh; Balen, Josip; Hržić, Franko

Engineering Applications of Artificial Intelligence

https://doi.org/10.1016/j.engappai.2024.108428

Q1 WOS

2024.

Building RadiologyNET: an unsupervised approach to annotating a large-scale multimodal medical database

Napravnik, Mateja; Hržić, Franko; Tschauner, Sebastian; Štajduhar, Ivan

BioData Mining

https://doi.org/10.1186/s13040-024-00373-1

Q1 WOS

2024.

Balancing Performance and Interpretability in Medical Image Analysis: Case study of Osteopenia

Mikulić, Mateo; Vičević, Dominik; Nagy, Eszter; Napravnik, Mateja; Štajduhar, Ivan; Tschauner, Sebastian; Hržić, Franko

Journal of Imaging Informatics in Medicine

https://doi.org/10.1007/s10278-024-01194-8

Q2 WOS

2023.

Estimation of sea state parameters from ship motion responses using attention-based neural networks

Selimović, Denis; Hržić, Franko; Prpić-Oršić, Jasna; Lerga, Jonatan

Ocean Engineering

https://doi.org/10.1016/j.oceaneng.2023.114915

Q1 WOS

2022.

A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning

Nagy, Eszter; Janisch, Michael; Hržić, Franko; Tschauner, Sebastian; Sorantin, Erich

Scientific Data

https://doi.org/10.1038/s41597-022-01328-z

Q2 WOS

2022.

Fracture Recognition in Paediatric Wrist Radiographs: An Object Detection Approach

Hržić, Franko; Tschauner, Sebastian; Sorantin, Erich; Štajduhar, Ivan

Mathematics,

https://doi.org/10.3390/math10162939

Q1 WOS

2022.

Learning rate of students detecting and annotating pediatric wrist fractures in supervised artificial intelligence dataset preparations

Nagy, Eszter; Marterer, Richard; Hržić, Franko; Sorantin, Erich; Tschauner, Sebastian

PLOS ONE

https://doi.org/10.1371/journal.pone.0276503

Q2 WOS

2022.

Pediatric radius torus fractures in X-rays—how computer vision could render lateral projections obsolete

Janisch, Michael; Apfaltrer, Georg; Hržić, Franko; Castellani, Christoph; Mittl, Barbara; Singer, Georg; Lindbichler, Franz; Pilhatsch, Alexander; Sorantin, Erich; Tschauner, Sebastian

Frontiers in Pediatrics

https://www.frontiersin.org/articles/10.3389/fped.2022.1005099

Q2 WOS

2021.

XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis

Hržić, Franko; Tschauner, Sebastian; Sorantin, Erich; Štajduhar, Ivan

Computers in Biology and Medicine

https://doi.org/10.1016/j.compbiomed.2021.104300

Q1 WOS

2021.

Augmenting Around-Device Interaction by Geomagnetic Field Built-in Sensor Utilization

Ljubić, Sandi; Hržić, Franko; Salkanović, Alen; Štajduhar, Ivan.

Sensors

https://doi.org/10.3390/s21093087

Q2 WOS

2021.

Cast suppression in radiographs by generative adversarial networks

Hržić, Franko; Žužić, Ivana; Tschauner, Sebastian; Štajduhar, Ivan

Journal of the American Medical Informatics Association

https://doi.org/10.1093/jamia/ocab192

Q1 WOS

2021.

The augmented radiologist: artificial intelligence in the practice of radiology

Sorantin, Erich; Grasser, Michael G.; Hemmelmayr, Ariane; Tschauner, Sebastian; Hržić, Franko; Weiss, Veronika; Lacekova, Jana; Holzinger, Andreas

Pediatric Radiology

https://doi.org/10.1007/s00247-021-05177-7

Q2 WOS

2021.

Modeling Uncertainty in Fracture Age Estimation from Pediatric Wrist Radiographs

Hržić, Franko; Janisch, Michael; Štajduhar, Ivan; Lerga, Jonatan; Sorantin, Erich; Tschauner, Sebastian

Mathematics

https://www.mdpi.com/2227-7390/9/24/3227

Q1 WOS

2021.

Detection of Non-Stationary GW Signals in High Noise from Cohen’s Class ofTime-Frequency Representations Using Deep Learning

Lopac, Nikola; Hržić, Franko; Petrijevčanin Vuksanović, Irena; Lerga, Jonatan

IEEE Access

https://ieeexplore.ieee.org/document/9666903

Q2 WOS

2019.

Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection

Hržić, Franko; Štajduhar, Ivan; Tschauner, Sebastian; Sorantin, Erich; Lerga, Jonatan

Entropy

https://doi.org/10.3390/e21040338

Q2 WOS

Znanstvene knjige

2025.

Detecting Gravitational Waves From Binary Black Hole Mergers Using Deep Convolutional Neural Networks and Quadratic Time-Frequency Distributions

Koautor

Nikola Lopac, Jonatan Lerga, Franko Hržić

Gravitational Wave Science with Machine Learning

Elena Cuoco

Springer, Singapore Online

https://link.springer.com/chapter/10.1007/978-981-96-1737-1_17

Pozvana predavanja

11.2025.

Demistifikacija umjetne inteligencije: sjecište tehnologije, filozofije i prava – Je li tvoje lice ljudsko lice?

Franko Hržić

Rijeka (Hrvatska)

11.2025.

Treći hrvatski simpozij o umjetnoj inteligenciji (HRUI 2025), Hrvatska akademija znanosti i umjetnosti – Segmentacija u kliničkoj praksi: nnU-Net i temeljni modeli

Franko Hržić

Zagreb (Hrvatska)

11.2025.

Next of Health & Telemedicine – Izazovi razvoja modela dubokog učenja u kliničkoj praksi

Franko Hržić

Zagreb (Hrvatska)

7.2025.

EXPO 2025: Croatia as a Global Destination for Health Tourism — and a Forum for the Future of Medicine – How artificial intelligence is redefining healthcare

Franko Hržić

Osaka (Japan)

6.2025.

Medical University of Graz – Current State of Medical Image Segmentation: nnU-Net, Foundation Models and Multi-Agent Systems

Franko Hržić

Graz (Austrija)

4.2025.

Motivation behind foundation models in Artificial Intelligence

Franko Hržić

Boston (USA)

3.2025.

8. Kongres hitne medicine medicinskih sestara i medicinskih tehničara s međunarodnim sudjelovanjem (Panel)

Franko Hržić

Vodice (Hrvatska)

5.2023.

Challenges in Medical Image Diagnostics

Franko Hržić

Rijeka (Hrvatska)

3.2023.

La robótica inteligente en los retos de salud y asistenciales – Jornada RoboCity2030–COMPANION-CM – AI techniques in paediatric radiology

Franko Hržić

Madrid (Španjolska)

1.2022.

The idea and applications of Generative Adversarial Networks

Franko Hržić

Pula (Hrvatska)

11.2021.

IEEE Computer Society Congress 2021 – GANs: From science to fun

Franko Hržić

Rijeka (Hrvatska)

7.2018.

Medicine of tomorrow: Artificial Intelligence in Medicine

Franko Hržić

Graz (Austrija)

Kongresna priopćenja

2025.

Mutual-training pseudo-labeling framework for fire segmentation

Antunović, Antonio; Damjanović, Davor; Arlović, Matej; Nyarko, Emmanuel K.; Hržić, Franko; Balen, Josip

Prezentacija

Pattern Recognition and Image Analysis. IbPRIA 2025 Coimbra, Portugal

https://doi.org/10.1007/978-3-031-99565-1_11

2025.

A resource-efficient approach for rapid detection of anatomical regions from CT scans

Hržić, Franko; Movahhedi, Mohammadreza; Kiapour, Ata. A

Poster

ORS 2025 Annual Meeting Pheonix, Arizona

https://www.ors.org/wp-content/uploads/AM25/1512.pdf

2024.

Synthetic dataset generation methods for computer vision applications

Arlović, Matej; Damjanović, Davor; Hržić, Franko; Balen, Josip

Prezentacija

International Conference on Smart Systems and Technologies (SST) Osijek

https://doi.org/10.1109/SST61991.2024.10755475

2024.

Content-based medical image retrieval for medical radiology images

Barać, Dario; Manojlović, Teo; Napravnik, Mateja; Hržić, Franko; Mamula; Saračević, Mihaela; Miletić, Damir; Štajduhar, Ivan

Prezentacija

Artificial Intelligence in Medicine (AIME 2024) Utah, SAD

https://doi.org/10.1007/978-3-031-66535-6_6

2023.

YOLOv5: Case study of image resolution influence on fire detection

Marić, Petar; Hržić, Franko; Arlović, Matej; Patel, Mitesh; Azeem, Muhammad M.; Balen, Josip.

Prezentacija

International Symposium ELMAR 2023 Zadar (Croatia)

https://doi.org/10.1109/ELMAR59410.2023.10253913

2023.

Automated online assessment and cloud-based programming: advancing computer engineering education

Ljubić, Sandi; Skoki, Arian; Hržić, Franko; Salkanović, Alen

Prezentacija

HELMeTO 2023 Foggia (Italy)

https://doi.org/10.1007/978-3-031-67351-1_6

2023.

Empowering computer engineering education: leveraging cloud-based programming platforms and online assessment tools

Ljubić, Sandi; Skoki, Arian; Hržić, Franko; Salkanović, Alen

Prezentacija

5th International Conference on Higher Education Learning Methodologies and Technologies Online (HELMeTO) Foggia (Italy)

https://helmeto2023.altervista.org/wp-content/uploads/2023/12/HELMeTO_2023 _Book-of-abstracts.pdf

2022.

Using autoencoders to reduce dimensionality of DICOM metadata

Napravnik, Mateja; Baždarić, Robert; Miletić, Damir; Hržić, Franko; Tschauner, Sebastian; Mamula Saračević, Mihaela; Štajduhar, Ivan

Prezentacija

ICECCME 2022 Male (Maldives)

https://doi.org/10.1109/ICECCME55909.2022.9988310

2022.

Estimation of missing parameters for DICOM to 8-bit X-ray image export

Hržić, Franko; Napravnik, Mateja; Baždarić, Robert; Štajduhar, Ivan; Mamula Saračević, Mihaela; Miletić, Damir; Tschauner, Sebastian.

Prezentacija

ICECCME 2022 Male (Maldives)

https://doi.org/10.1109/ICECCME55909.2022.9988674

2022.

Forming of validation dataset for deep learning-based model of medical image grouping

Baždarić, Robert; Hržić, Franko; Napravnik, Mateja; Štajduhar, Ivan

Prezentacija

MICAD 2022 Leicester (United Kingdom)

https://doi.org/10.1007/978-981-16-6775-6_34

2021.

Automatic extraction of multiple-study X-ray images

Dumenčić, Stella; Tschauner, Sebastian; Hržić, Franko; Štajduhar, Ivan.

Prezentacija

INSTA 2021 Kocaeli (Turkey)

https://doi.org/10.1109/INISTA52262.2021.9548551

2021.

Analysing large repositories of medical images

Štajduhar, Ivan; Manojlović, Teo; Hržić, Franko; Napravnik, Mateja; Glavaš, Goran; Milanič, Matija; Tschauner, Sebastian; Mamula Saračević, Mihaela; Miletić, Damir

Prezentacija

BIOMESIP 2021 Gran Canaria (Spain)

https://link.springer.com/chapter/10.1007/978-3-030-88163-4_17

06.10.2018.

Automatic Radius Bones Fracture Detection using Machine Learning

Hržić, Franko ; Štajduhar, Ivan

Prezentacija

2nd My First Conference PhD Conference on Engineering and Technology Rijeka

06.10.2018.

Secure Operations as Congestion Control Mechanism Within OpenStack Based Cloud Laboratory

Hržić, Franko; Poljančić, Domagoj; Galinac Grbac, Tihana

Prezentacija

2016 International Conference on Smart Systems and Technologies (SST) Osijek

2018.

Optimal beacon positioning for indoor drone navigation

Hržić, Franko; Sušanj, Diego; Lenac, Kristijan

Prezentacija

12th Annual Baška GNSS Conference Baška (Croatia)

https://www.pfri.uniri.hr/web/hr/dokumenti/2018-GNSS-12.pdf

2018.

Information entropy measures and clustering improve edge detection in medical X-ray images

Hržić, Franko; Jansky, Vanja; Sušanj, Diego; Gulan, Goran; Kožar, Ivan; Jeričević, Željko

Prezentacija

MIPRO 2018 Opatija (Croatia)

https://doi.org/10.23919/MIPRO.2018.8400032

2016.

Secure operations as congestion control mechanism within OpenStack-based cloud laboratory

Hržić, Franko; Poljančić, Domagoj; Galinac Grbac, Tihana

Prezentacija

SST 2016 Osijek (Croatia)

https://doi.org/10.1109/SST.2016.7765646

Javno djelovanje

Javna predavanja

27.01.2022.

Ideja i primjena Generativnih suparničkih mreža

Pozvano predavanje na TFPU

Online

16.11.2021.

Generativne suparničke mreže: Od znanosti do zabave.

Computer Society Congress 2021

Online

26.09.2019.

Neural networks for object detection

Predavanje u sklopu usavršavanja

University of Ljubljana, Faculty of Mathematics and Physics

25.07.2019.

Medicine of tomorrow: Artificial intelligence in Medicine

Predavanje u sklopu edukacije u Grazu

Rezultati pretraživanja Web-rezultati Universitätsklinik für Innere Medizin - LKH-Univ. Klinikum Graz

Popularizacija znanosti

24.10.2019.

Job.Fair i Dan otvorenih laboratorija 2019

Job.Fair i Dan otvorenih laboratorija 2019

Rijeka, Sveučilište u Rijeci, Tehnički Fakultet

Medijski nastupi

18.05.2019.

Intervju u sklopu Student Day Festivala 2019

Radio Sova

Rijeka

Administrativna djelatnost

Povjerenstva na sveučilištu

2019

Član povjerenstva za dodjelu Rektorove nagrade za studentski stručni/znanstveni/umjetnički rad

Sveučilište u Rijeci

Povjerenstva izvan sveučilišta

01.11.2019. - 10.02.2020.

Član povjerenstva za reakreditaciju poslijediplomskog sveučilišnog (Doktorskog) studija računarstva

Sveučilište u Rijeci, Tehnički fakultet

Projekti

Znanstveni projekti

2026. - 2031.

FRACTAID: Razvoj modela umjetne inteligencije za detekciju pedijatrijskih fraktura kostiju i utjecaj istih na kliničku praksu

Voditelj

HRZZ (UIP-2025-02-6365)

2025. - 2027.

Utjecaj hiperparametara i svojstava CT snimaka na modele strojnoga učenja u zadatku segmentacije

Voditelj

University of Rijeka (uniri-mz-25-17)

2024. - 2025.

Razvoj tehnika fuzije značajki temeljenih na dubokom učenju za pronalaženje sličnih prijeloma na rendgenskim slikama zapešća

Voditelj

University of Rijeka (uniri-mladi-tehnic-23-19)

2023. - 2027.

OPTIDERM: Optička dijagnostika infekcija kože

Suradnik

HRZZ (DOK-2025-02-7830)

2023. - 2026.

INNO2MARE: Strengthening the Capacity for Excellence of Slovenian and Croatian Innovation Ecosystems to Support the Digital and Green Transitions of Maritime Regions

Suradnik

Horizon EU (101087348)

2023. - 2025.

Pohrana i vizualizacija optičkih biomedicinskih podataka

Suradnik

HAMAG-BICRO (KK.01.2.1.02.0303)

2021. - 2025.

BLISS: Blended Learning Implementation for reSilient, acceSsible and efficient higher education

Suradnik

ERASMUS+ (2021-1-SE01-KA220-HED-000023166)

2021. - 2024.

Machine Learning for Knowledge Transfer in Medical Radiology (RadiologyNET)

Suradnik

HRZZ (IP-2020-02-3770)

2020. - 2021.

Hyperspectral Image Analysis Using Machine Learning and Adaptive Data-Driven Filtering

Collaborator

HRZZ (Bilateralni projekt HR-SLO)

2019. - 2022.

Development of machine-learning-based techniques for illness and injury detection in medical images

Istraživač

University of Rijeka (uniri-tehnic-18-15)

2019. - 2022.

Computer-Aided Digital Analysis and Classification of Signals

Suradnik

University of Rijeka (uniri-tehnic-18-17)

01.07.2018. - 01.07.2019.

Thorax motion supervision in radiotherapy using machine learning techniques

Researcher

Bileteralni projekt sa Medical Physics Group (R. Jeraj) at the Faculty of Mathematics and Physics, Ljubljana, Slovenia.

2018. - 2021.

ICCT: Interactive Course for Control Theory, ERASMUS+

Suradnik

ERASMUS+(2018-1-SI01-KA203-047081)

Obrazovni projekti

12.07.2018. - 21.07.2018.

The 26th Summer School on Image Processing

Financiranje: CEEPUS