Automated morphological classification and quantification of cerebrospinal fluid extracellular vesicles via AFM and machine learning
M Kurtjak, V Tomas, L Ivović, D Fabijan, M Perčić, H Križan, M Tota, L Saftić Martinović, J Tarčuković, I Štajduhar, M. Malenica
Nanoscale Advances 7, 7780-7797 (2025)

Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology
M Napravnik, F Hržić, M Urschler, D Miletić, I Štajduhar
Scientific Reports 15, 21622 (2025)

Impact of test set composition on AI performance in pediatric wrist fracture detection in X-rays
T Till, M Scherkl, N Stranger, G Singer, S Hankel, C Flucher, F Hržić, I Štajduhar, S Tschauner
European Radiology 35, 6853-6864 (2025)

Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks
T Manojlović, T Tomanič, I Štajduhar, M Milanič
Journal of Biomedical Optics 30(1), 016004 (2025)

Enhancing Biophysical Muscle Fatigue Model in the Dynamic Context of Soccer
A Skoki, S Ivić, S Ljubic, J Lerga, I Štajduhar
Sensors 24(24), 8128 (2024)

Balancing Performance and Interpretability in Medical Image Analysis: Case study of Osteopenia
M Mikulić, D Vičević, E Nagy, M Napravnik, I Štajduhar, S Tschauner, F Hržić
Journal of Imaging Informatics in Medicine 1-14 (2024)

Building RadiologyNET: an unsupervised approach to annotating a large-scale multimodal medical database
M Napravnik, F Hržić, S Tschauner, I Štajduhar
BioData Mining 17(1), 22 (2024)

Building Individual Player Performance Profiles According to Pre-Game Expectations and Goal Difference in Soccer
A Skoki, B Gašparović, S Ivić, J Lerga, I Štajduhar
Sensors 24(5), 1700 (2024)

Rapid extraction of skin physiological parameters from hyperspectral images using machine learning
T Manojlović, T Tomanič, I Štajduhar, M. Milanič
Applied Intelligence 53, 16519–16539 (2023)

Intra-domain and cross-domain transfer learning for time series data – How transferable are the features?
E Otović, M Njirjak, D Jozinović, G Mauša, A Michelini, I Štajduhar
Knowledge-Based Systems 239, 107976 (2022)

Transfer learning: Improving neural network based prediction of earthquake ground shaking for an area with insufficient training data
D Jozinović, A Lomax, I Štajduhar, A Michelini
Geophysical Journal International 229, Issue 1 (2022)

The augmented radiologist: artificial intelligence in the practice of radiology
E Sorantin, MG Grasser, A Hemmelmayr, S Tschauner, F Hržić, V Weiss, et al.
Pediatric Radiology 52 (11), 2074-2086 (2022)

A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning
E Nagy, M Janisch, F Hržić, E Sorantin, S Tschauner
Scientific Data 9 (1), 222 (2022)

Fracture recognition in paediatric wrist radiographs: An object detection approach
F Hržić, S Tschauner, E Sorantin, I Štajduhar
Mathematics 10 (16), 2939 (2022)

XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis
F Hržić, S Tschauner, E Sorantin, I Štajduhar
Computers in Biology and Medicine 132, 104300 (2021)

Cast suppression in radiographs by generative adversarial networks
F Hržić, I Žužić, S Tschauner, I Štajduhar
Journal of the American Medical Informatics Association 28 (12) (2021)

Deep Semi-Supervised Algorithm for Learning Cluster-Oriented Representations of Medical Images Using Partially Observable DICOM Tags and Images
T Manojlović, I Štajduhar
Diagnostics 11 (10), 1920 (2021)

Detection of non-stationary GW signals in high noise from Cohen’s class of time–frequency representations using deep learning
N Lopac, F Hržić, IP Vuksanović, J Lerga
IEEE Access 10, 2408-2428 (2021)

Deep learning for feature extraction in remote sensing: A case-study of aerial scene classification
B Petrovska, E Zdravevski, P Lameski, R Corizzo, I Štajduhar, J Lerga
Sensors 20 (14), 3906 (2020)

Rapid prediction of earthquake ground shaking intensity using raw waveform data and a convolutional neural network
D Jozinović, A Lomax, I Štajduhar, A Michelini
Geophysical Journal International 222 (2), 1379-1389 (2020)

Automatic Annotation of Narrative Radiology Reports
I Krsnik, G Glavaš, M Krsnik, D Miletić, I Štajduhar
Diagnostics 10 (4), 196 (2020)

Local-entropy based approach for X-ray image segmentation and fracture detection
F Hržić, I Štajduhar, S Tschauner, E Sorantin, J Lerga
Entropy 21 (4), 338 (2019)

Semi-automated detection of anterior cruciate ligament injury from MRI
I Štajduhar, M Mamula, D Miletić, G Ünal
Computer Methods and Programs in Biomedicine 140, 151-164 (2017)

…there are more, but we could not list them all.

For more info & our publications, please check out these lists:

Open Datasets

We contribute to open science by sharing datasets:

Open Models & Code

We also share pretrained models and code:

More code and resources available on GitHub