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Franko Hržić, mag. ing. comp. (RITEH)

University of Rijeka, Faculty of Engineering

Franko Hržić is a teaching assistant at RITEH and a PhD student in Computer Science. His research is focused on applications of artificial intelligence and deep learning in medicine. He is a full-time employee at RITEH.

Author's Projects

Transversal Skills in Applied Artificial Intelligence (TSAAI)

Machine Learning for Knowledge Transfer in Medical Radiology

Machine Learning for Knowledge Transfer in Medical Radiology

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

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

Author's Research Papers

Forecasting the Trajectory of Personal Watercrafts Using Models Based on Recurrent Neural Networks

Fracture Recognition in Paediatric Wrist Radiographs: An Object Detection Approach

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

Modeling Uncertainty in Fracture Age Estimation from Pediatric Wrist Radiographs

Cast suppression in radiographs by generative adversarial networks

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

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

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Latest Projects

Advanced Data Analysis Using Digital Signal Processing and Machine Learning Techniques

Compound Flooding in Coastal Rivers in Present and Future Climate

Data Processing on Graphs

North Adriatic Hydrogen Valley

Data Governance and Intellectual Property Governance in Common European Data Spaces – DGIP-CEDS

Latest Research Papers

Forecasting the Trajectory of Personal Watercrafts Using Models Based on Recurrent Neural Networks

A System for Real-Time Detection of Abandoned Luggage

Enhancing Biophysical Muscle Fatigue Model in the Dynamic Context of Soccer

Pravna tehnologija (Legal Tech) i njezina (ne)prikladnost za zamjenu pravne struke

Regression-Based Machine Learning Approaches for Estimating Discharge from Water Levels in Microtidal Rivers

Latest News

Arian Skoki defended his doctoral thesis “Data-Driven Assessment of Player Performance and Recovery in Soccer”

Anna Maria Mihel defended her PhD dissertation topic

Prof. dr. sc. Renato Filjar participated at the meeting of the 31st National Space-Based Positioning, Navigation and Timing US Advisory Board

Presentation of the NPOO project Peoplet

Ana Vranković Lacković defended her doctoral thesis

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Center for Artificial Intelligence and Cybersecurity
  • jlerga@airi.uniri.hr
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University of Rijeka

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