Information entropy measures and clustering improve edge detection in medical X-ray images. - Franko Hrzic; V. Jansky; Diego Susanj; Gordan Gulan; Ivica Kozar; Zeljko Jericevic (MIPRO, 2018)

Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection. - Franko Hrzic; Ivan Stajduhar; Sebastian Tschauner; Erich Sorantin; Jonatan Lerga (Entropy, 2019)

Analysing Large Repositories of Medical Images. - Ivan Stajduhar; Teo Manojlovic; Franko Hrzic; Mateja Napravnik; Goran Glavas; Matija Milanic; Sebastian Tschauner; Mihaela Mamula; Damir Miletic (BIOMESIP, 2021)

Automatic extraction of multiple-study X-ray images. - Stella Dumencic; Sebastian Tschauner; Franko Hrzic; Ivan Stajduhar (INISTA, 2021)

XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis. - Franko Hrzic; Sebastian Tschauner; Erich Sorantin; Ivan Stajduhar (Comput. Biol. Medicine, 2021)

Cast suppression in radiographs by generative adversarial networks. - Franko Hrzic; Ivana Zuzic; Sebastian Tschauner; Ivan Stajduhar (J. Am. Medical Informatics Assoc., 2021)

Augmenting Around-Device Interaction by Geomagnetic Field Built-in Sensor Utilization. - Sandi Ljubic; Franko Hrzic; Alen Salkanovic; Ivan Stajduhar (Sensors, 2021)

Forming of Validation Dataset for Deep Learning Based Model of Medical Image Grouping. - Robert Bazdaric; Franko Hrzic; Mateja Napravnik; Ivan Stajduhar (MICAD, 2022)

Detection of Non-Stationary GW Signals in High Noise From Cohen's Class of Time-Frequency Representations Using Deep Learning. - Nikola Lopac; Franko Hrzic; Irena Petrijevcanin Vuksanovic; Jonatan Lerga (IEEE Access, 2022)

Automated Online Assessment and Cloud-Based Programming: Advancing Computer Engineering Education. - Sandi Ljubic; Arian Skoki; Franko Hrzic; Alen Salkanovic (HELMeTO, 2023)

Estimation of Sea State Parameters from Ship Motion Responses Using Attention-based Neural Networks. - Denis Selimovic; Franko Hrzic; Jasna Prpic-Orsic; Jonatan Lerga (CoRR, 2023)

Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database. - Mateja Napravnik; Franko Hrzic; Sebastian Tschauner; Ivan Stajduhar (CoRR, 2023)

Content-Based Medical Image Retrieval for Medical Radiology Images. - Dario Barac; Teo Manojlovic; Mateja Napravnik; Franko Hrzic; Mihaela Mamula Saracevic; Damir Miletic; Ivan Stajduhar (AIME (2), 2024)

Building RadiologyNET: an unsupervised approach to annotating a large-scale multimodal medical database. - Mateja Napravnik; Franko Hrzic; Sebastian Tschauner; Ivan Stajduhar (BioData Min., 2024)

F2M: Ensemble-based uncertainty estimation model for fire detection in indoor environments. - Matej Arlovic; Mitesh Patel; Josip Balen; Franko Hrzic (Eng. Appl. Artif. Intell., 2024)

Mutual-Training Pseudo-labeling Framework for Fire Segmentation. - Antonio Antunovic; Davor Damjanovic; Matej Arlovic; Emmanuel Karlo Nyarko; Franko Hrzic; Josip Balen (IbPRIA, 2025)

Forecasting the trajectory of personal watercrafts using models based on recurrent neural networks. - Lucija Zuzic; Franko Hrzic; Jonatan Lerga (Expert Syst. Appl., 2025)

A Bayesian and Markov chain approach to short-term and long-term personal watercraft trajectory forecasting. - Lucija Zuzic; Ivan Drazic; Loredana Simcic; Franko Hrzic; Jonatan Lerga (J. Frankl. Inst., 2025)

A simple and effective approach for body part recognition on CT scans based on projection estimation. - Franko Hrzic; Mohammadreza Movahhedi; Ophelie Lavoie-Gagne; Ata Kiapour (CoRR, 2025)