Matching images of imprinted tablets. - Ziga Spiclin; Marko Bukovec; Franjo Pernus; Bostjan Likar (ETFA, 2007)

Geometrical and Statistical Visual Inspection of Imprinted Tablets. - Marko Bukovec; Ziga Spiclin; Franjo Pernus; Bostjan Likar (MVA, 2007)

EEG to MRI Registration Based on Global and Local Similarities of MRI Intensity Distributions. - Ziga Spiclin; Arne Hans; Frank H. Duffy; Simon K. Warfield; Bostjan Likar; Franjo Pernus (MICCAI (1), 2008)

Registration of EEG electrode positions to PET and fMRI images. - Ziga Spiclin; Bostjan Likar; Franjo Pernus (Image Processing, 2009)

Information-Theoretic Multi-modal Image Registration Based on the Improved Fast Gauss Transform: Application to Brain Images. - Ziga Spiclin; Bostjan Likar; Franjo Pernus (MBIA, 2011)

Groupwise consistent image registration: a crucial step for the construction of a standardized near infrared hyper-spectral teeth database. - Ziga Spiclin; Peter Usenik; Miran Bürmen; Ales Fidler; Franjo Pernus; Bostjan Likar (Image Processing, 2011)

Image registration for visual inspection of imprinted pharmaceutical tablets. - Ziga Spiclin; Marko Bukovec; Franjo Pernus; Bostjan Likar (Mach. Vis. Appl., 2011)

Method for 3D-2D Registration of Vascular Images: Application to 3D Contrast Agent Flow Visualization. - Uros Mitrovic; Ziga Spiclin; Bostjan Likar; Franjo Pernus (CLIP, 2012)

3D-2D registration of cerebral angiograms based on vessel directions and intensity gradients. - Uros Mitrovic; Ziga Spiclin; Darko Stern; Primoz Markelj; Bostjan Likar; Zoran Milosevic; Franjo Pernus (Image Processing, 2012)

Quad-tree Based Entropy Estimator for Fast and Robust Brain Image Registration. - Ziga Spiclin; Bostjan Likar; Franjo Pernus (WBIR, 2012)

Groupwise Registration of Multimodal Images by an Efficient Joint Entropy Minimization Scheme. - Ziga Spiclin; Bostjan Likar; Franjo Pernus (IEEE Trans. Image Process., 2012)

Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images. - Alfiia Galimzianova; Ziga Spiclin; Bostjan Likar; Franjo Pernus (MCV, 2013)

Automatic Detection of Misalignment in Rigid 3D-2D Registration. - Uros Mitrovic; Ziga Spiclin; Bostjan Likar; Franjo Pernus (CLIP, 2013)

Automated segmentation of MS lesions in brain MR images using localized trimmed-likelihood estimation. - Alfiia Galimzianova; Ziga Spiclin; Bostjan Likar; Franjo Pernus (Image Processing, 2013)

Evaluation of 3D-2D registration methods for registration of 3D-DSA and 2D-DSA cerebral images. - Uros Mitrovic; Ziga Spiclin; Bostjan Likar; Franjo Pernus (Image Processing, 2013)

3D-2D Registration of Cerebral Angiograms: A Method and Evaluation on Clinical Images. - Uros Mitrovic; Ziga Spiclin; Bostjan Likar; Franjo Pernus (IEEE Trans. Medical Imaging, 2013)

Fast and Robust 3D to 2D Image Registration by Backprojection of Gradient Covariances. - Ziga Spiclin; Bostjan Likar; Franjo Pernus (WBIR, 2014)

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)

Device and methods for "gold standard" registration of clinical 3D and 2D cerebral angiograms. - Hennadii Madan; Bostjan Likar; Franjo Pernus; Ziga Spiclin (Image-Guided Procedures, 2015)

Locally adaptive MR intensity models and MRF-based segmentation of multiple sclerosis lesions. - Alfiia Galimzianova; Ziga Lesjak; Bostjan Likar; Franjo Pernus; Ziga Spiclin (Image Processing, 2015)

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

Robust Estimation of Unbalanced Mixture Models on Samples with Outliers. - Alfiia Galimzianova; Franjo Pernus; Bostjan Likar; Ziga Spiclin (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

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

Stratified mixture modeling for segmentation of white-matter lesions in brain MR images. - Alfiia Galimzianova; Franjo Pernus; Bostjan Likar; Ziga Spiclin (NeuroImage, 2016)

Validation of White-Matter Lesion Change Detection Methods on a Novel Publicly Available MRI Image Database. - Ziga Lesjak; Franjo Pernus; Bostjan Likar; Ziga Spiclin (Neuroinformatics, 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)

Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard. - Hennadii Madan; Franjo Pernus; Ziga Spiclin (MICCAI (2), 2017)

A framework for automatic creation of gold-standard rigid 3D-2D registration datasets. - Hennadii Madan; Franjo Pernus; Bostjan Likar; Ziga Spiclin (Int. J. Comput. Assist. Radiol. Surg., 2017)

A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI. - Myra Cheng; Alfiia Galimzianova; Ziga Lesjak; Ziga Spiclin; Christopher B. Lock; Daniel L. Rubin (DLMIA/ML-CDS@MICCAI, 2018)

Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations. - Hennadii Madan; Rok Berlot; Nicola J. Ray; Franjo Pernus; Ziga Spiclin (PRIME@MICCAI, 2018)

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)

3D-2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms. - Uros Mitrovic; Bostjan Likar; Franjo Pernus; Ziga Spiclin (Int. J. Comput. Assist. Radiol. Surg., 2018)

A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus. - Ziga Lesjak; Alfiia Galimzianova; Ales Koren; Matej Lukin; Franjo Pernus; Bostjan Likar; Ziga Spiclin (Neuroinformatics, 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)

Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. - Stefan Denner; Ashkan Khakzar; Moiz Sajid; Mahdi Saleh; Ziga Spiclin; Seong-Tae Kim 001; Nassir Navab (BrainLes@MICCAI (1), 2020)

Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification. - Ziga Bizjak; Bostjan Likar; Franjo Pernus; Ziga Spiclin (MICCAI (6), 2020)

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

Practical Priors for Bayesian Inference of Latent Biomarkers. - Hennadii Madan; Rok Berlot; Nicola J. Ray; Franjo Pernus; Ziga Spiclin (IEEE J. Biomed. Health Informatics, 2020)

Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem. - Martin Zukovec; Lara Dular; Ziga Spiclin (BrainLes@MICCAI (1), 2021)

Modality agnostic intracranial aneurysm detection through supervised vascular surface classification. - Ziga Bizjak; Bostjan Likar; Franjo Pernus; Ziga Spiclin (Computer-Aided Diagnosis, 2021)

Improving Across Dataset Brain Age Predictions Using Transfer Learning. - Lara Dular; Ziga Spiclin (PRIME@MICCAI, 2021)

Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context. - Jannik Sobisch; Ziga Bizjak; Aichi Chien; Ziga Spiclin (GeoMedIA, 2022)

Deep Learning Based Modality-Independent Intracranial Aneurysm Detection. - Ziga Bizjak; June Ho Choi; Won-Hyoung Park; Ziga Spiclin (MICCAI (3), 2022)

Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI Scans. - Lara Dular; Ziga Spiclin (PRIME@MICCAI, 2022)

Novel dataset and evaluation of state-of-the-art vessel segmentation methods. - Ziga Bizjak; Aichi Chien; Iza Burnik; Ziga Spiclin (Image Processing, 2022)

Domain Unlearning Boosts Lesion Segmentation Performance on Seen and Unseen MR Scanner Data. - Domen Preloznik; Ziga Spiclin (BrainLes/SWITCH@MICCAI, 2023)

Predicting future multiple sclerosis disease progression from MR scans. - Lara Dular; Gregor Brecl-Jakob; Lina Savsek; Jozef Magdic; Ziga Spiclin (Computer-Aided Diagnosis, 2023)

Enhancing Prenatal Diagnosis: Automated Fetal Brain MRI Morphometry. - Ema Masterl; Anja Parkelj; Tina Vipotnik Vesnaver; Ziga Spiclin (PIPPI@MICCAI, 2024)

Improving Brain MRI Segmentation with Multi-Stage Deep Domain Unlearning. - Domen Preloznik; Ziga Spiclin (PRIME@MICCAI, 2024)

Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models. - Lara Dular; Franjo Pernus; Ziga Spiclin (Comput. Biol. Medicine, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

BASE: Brain Age Standardized Evaluation. - Lara Dular; Ziga Spiclin; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2024)

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. - Vladyslav Zalevskyi; Thomas Sanchez; Misha P. T. Kaandorp; Margaux Roulet; Diego Fajardo Rojas; Liu Li; Jana Hutter; Hongwei Bran Li; Matthew J. Barkovich; Hui Ji; Luca Wilhelmi; Aline Dändliker; et al. (CoRR, 2025)