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

BSc 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 ]

Žiga Lesjak, Boštjan Likar, Franjo Pernuš, Žiga Špiclin: Določitev optimalnih značilnic za zaznavo sprememb bele možganovine. Elektrotehniški vestnik - Electrotechnical Review, 84(3):85-92, 2017 [https://ev.fe.uni-lj.si/online.php?vol=84 ] [COBISS-ID:11878740] ]

Žiga Lesjak, Franjo Pernuš, Boštjan Likar, Žiga Špiclin: Validation of white-matter lesion change detection methods on a novel publicly available MRI image database. Neuroinformatics, 14(4):403-420, 2016 [doi:10.1007/s12021-016-9301-1 ] [COBISS-ID:11449428 ]

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 ]