| Evaluation of automatic neonatal brain segmentation algorithms: the NeoBrainS12 challenge I Išgum, MJNL Benders, B Avants, MJ Cardoso, SJ Counsell, EF Gomez, ... Medical image analysis 20 (1), 135-151, 2015 | 98 | 2015 |
| The application of Hilbert–Huang transform in the analysis of muscle fatigue during cyclic dynamic contractions V Srhoj-Egekher, M Cifrek, V Medved Medical & biological engineering & computing 49, 659-669, 2011 | 44 | 2011 |
| Automatic segmentation of neonatal brain MRI using atlas based segmentation and machine learning approach V Srhoj-Egekher, M Benders, KJ Kersbergen, MA Viergever, I Isgum MICCAI Grand Challenge: Neonatal Brain Segmentation 2012, 2012 | 27 | 2012 |
| Automatic neonatal brain tissue segmentation with MRI V Srhoj-Egekher, MJNL Benders, MA Viergever, I Išgum Medical Imaging 2013: Image Processing 8669, 426-433, 2013 | 16 | 2013 |
| Differentiating patients with radiculopathy from chronic low back pain patients by single surface EMG parameter S Ostojić, S Peharec, V Srhoj-Egekher, M Cifrek Automatika: časopis za automatiku, mjerenje, elektroniku, računarstvo i …, 2018 | 6 | 2018 |
| Feature modeling for interpretable low back pain Classification based on Surface EMG V Srhoj-Egekher, M Cifrek, S Peharec IEEE access 10, 73702-73727, 2022 | 5 | 2022 |
| A non-arbitrary definition of the analyzing interval of sEMG signal measured during sustained low back extension S Ostojić, V Srhoj-Egekher, S Peharec, M Cifrek 2018 41st International Convention on Information and Communication …, 2018 | 2 | 2018 |
| Surface EMG frequency-based discrimination of low back pain patients V Srhoj-Egekher, S Peharec, M Cifrek World Congress on Medical Physics and Biomedical Engineering, xx-xx, 2012 | 2 | 2012 |
| The Flexion Relaxation Phenomenon in Patients with Radiculopathy and Low Back Pain: A Cross-Sectional Study M Peharec, S Peharec, V Srhoj-Egekher, R Jerković, D Girotto, ... Journal of Functional Morphology and Kinesiology 9 (2), 77, 2024 | | 2024 |
| Classification and clustering of low back pain patients by analyzing surface myoelectric signals V Srhoj-Egekher University of Zagreb. Faculty of Electrical Engineering and Computing …, 2022 | | 2022 |
| Low-Back Pain Patients Classification Based on sEMG Activation Patterns Detection V Srhoj-Egekher, M Cifrek, S Peharec European Congress on Biomedical and Veterinary Engineering, 53-59, 2022 | | 2022 |
| Kinematic Measurements and Electromyography in Patients with Radiculopathy and Low Back Pain: A Cross-Sectional Study S Peharec, V Srhoj-Egekher, R Jerkovic, M Peharec, D Girotto, ... Available at SSRN 4411763, 0 | | |
| Profilometrija strukturiranim svjetlom i primjeri izracuna mapa faznih pomaka V Srhoj-Egekher | | |
