PhD in Electrical Enginnering (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Researcher at the Laboratory of Imaging Technologies (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Junior researcher at the Laboratory of Imaging Technologies (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Žiga Lesjak, Alfiia Galimzianova, Aleš Koren, Matej Lukin, Franjo Pernuš, Boštjan Likar, Žiga Špiclin: A novel public MR image dataset of multiple sclerosis patients with lesion segmentations based on multi-rater consensus. Neuroinformatics, 16(1):51-63, 2018 [doi:10.1007/s12021-017-9348-7 ] [COBISS-ID:11896404 ]

Alfiia Galimzianova, Žiga Lesjak, Daniel L. Rubin, Boštjan Likar, Franjo Pernuš, Žiga Špiclin: Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesions. Journal of Medical Imaging, 5(1):011007, 2018 [doi:10.1117/1.JMI.5.1.011007 ] [COBISS-ID:11878484 ]

Alfiia Galimzianova, Franjo Pernuš, Boštjan Likar, Žiga Špiclin: Stratified mixture modeling for segmentation of white-matter lesions in brain MR images. NeuroImage, 124(Part A):1031-1043, 2016 [doi:10.1016/j.neuroimage.2015.09.047 ] [COBISS-ID:11198292 ]

Alfiia Galimzianova, Franjo Pernuš, Boštjan Likar, Žiga Špiclin: Robust estimation of unbalanced mixture models on samples with outliers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(11):2273-2285, 2015 [doi:10.1109/TPAMI.2015.2404835 ] [COBISS-ID:10969940 ]

Myra Cheng, Alfiia Galimzianova, Žiga Lesjak, Žiga Špiclin, Christopher B. Lock, Daniel L. Rubin: A multi-scale multiple sclerosis lesion change detection in a multi-sequence MRI. 4th International Workshop on Deep Learning in Medical Image Analysis - DLMIA 2018 & 8th International Workshop on Multimodal Learning for Clinical Decision Support - ML-CDS 2018, held in conjunction with the 21th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, Sep 20, Granada, Spain (D. Stoyanov et al., Eds.), Lecture Notes in Computer Science 11045:353-360, 2018 [doi:10.1007/978-3-030-00889-5_40 ] [COBISS-ID:12235604 ]