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)

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

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)

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)

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)

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 (1), 704-718 (2022)

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)

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)

…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 and code:

More code and resources available on GitHub