Combining Unsupervised and Supervised Methods for Lesion Segmentation. - Tim Jerman; Alfiia Galimzianova; Franjo Pernus; Bostjan Likar; Ziga Spiclin (Brainles@MICCAI, 2015)

Computer-Aided Detection and Quantification of Intracranial Aneurysms. - Tim Jerman; Franjo Pernus; Bostjan Likar; Ziga Spiclin (MICCAI (2), 2015)

Beyond Frangi: an improved multiscale vesselness filter. - Tim Jerman; Franjo Pernus; Bostjan Likar; Ziga Spiclin (Image Processing, 2015)

Automatic cutting plane identification for computer-aided analysis of intracranial aneurysms. - Tim Jerman; Franjo Pernus; Bostjan Likar; Ziga Spiclin; Aichi Chien (ICPR, 2016)

Enhancement of Vascular Structures in 3D and 2D Angiographic Images. - Tim Jerman; Franjo Pernus; Bostjan Likar; Ziga Spiclin (IEEE Trans. Medical Imaging, 2016)

Blob Enhancement and Visualization for Improved Intracranial Aneurysm Detection. - Tim Jerman; Franjo Pernus; Bostjan Likar; Ziga Spiclin (IEEE Trans. Vis. Comput. Graph., 2016)

Aneurysm detection in 3D cerebral angiograms based on intra-vascular distance mapping and convolutional neural networks. - Tim Jerman; Franjo Pernus; Bostjan Likar; Ziga Spiclin (ISBI, 2017)

Dataset variability leverages white-matter lesion segmentation performance with convolutional neural network. - Domen Ravnik; Tim Jerman; Franjo Pernus; Bostjan Likar; Ziga Spiclin (Image Processing, 2018)

Registration based detection and quantification of intracranial aneurysm growth. - Ziga Bizjak; Tim Jerman; Bostjan Likar; Franjo Pernus; Aichi Chien; Ziga Spiclin (Computer-Aided Diagnosis, 2019)

Automated Cutting Plane Positioning for Intracranial Aneurysm Quantification. - Tim Jerman; Aichi Chien; Franjo Pernus; Bostjan Likar; Ziga Spiclin (IEEE Trans. Biomed. Eng., 2020)