Ž. Špiclin

发表

IMPACT OF AEROBIC EXERCISE ON CLINICAL AND MAGNETIC RESONANCE IMAGING BIOMARKERS IN PERSONS WITH MULTIPLE SCLEROSIS: AN EXPLORATORY RANDOMIZED CONTROLLED TRIAL

V. Strojnik, A. Ihan, L. Savšek, 2021, Journal of rehabilitation medicine.

Automated Cutting Plane Positioning for Intracranial Aneurysm Quantification

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2020, IEEE Transactions on Biomedical Engineering.

Reference-free error estimation for multiple measurement methods

F. Pernus, Ž. Špiclin, Hennadii Madan, 2019, Statistical methods in medical research.

Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesions

Boštjan Likar, Franjo Pernuš, Daniel L Rubin, 2017, Journal of medical imaging.

Novel dataset and evaluation of state-of-the-art vessel segmentation methods

A. Chien, Ž. Špiclin, Ziga Bizjak, 2022, Medical Imaging.

Aneurysm detection in 3D cerebral angiograms based on intra-vascular distance mapping and convolutional neural networks

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Validation of White-Matter Lesion Change Detection Methods on a Novel Publicly Available MRI Image Database

F. Pernus, B. Likar, Ž. Špiclin, 2016, Neuroinformatics.

Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation pdf

Ziga Spiclin, Nassir Navab, Seong Tae Kim, 2020, BrainLes@MICCAI.

Improving Across Dataset Brain Age Predictions Using Transfer Learning

Ziga Spiclin, Lara Dular, Ž. Špiclin, 2021, PRIME@MICCAI.

Beyond Frangi: an improved multiscale vesselness filter

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2015, Medical Imaging.

Enhancement of Vascular Structures in 3D and 2D Angiographic Images

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2016, IEEE Transactions on Medical Imaging.

A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2017, Neuroinformatics.

Practical Priors for Bayesian Inference of Latent Biomarkers

Franjo Pernus, Nicola J. Ray, Rok Berlot, 2020, IEEE Journal of Biomedical and Health Informatics.

Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations

Franjo Pernus, Ziga Spiclin, Nicola J. Ray, 2018, PRIME@MICCAI.

Stratified mixture modeling for segmentation of white-matter lesions in brain MR images

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2016, NeuroImage.

Detection and Localization of Hyperfunctioning Parathyroid Glands on [18F]fluorocholine PET/ CT Using Deep Learning – Model Performance and Comparison to Human Experts

M. Hočevar, M. Jensterle, S. Rep, 2022, Radiology and oncology.

Predicting future multiple sclerosis disease progression from MR scans

L. Savšek, Ž. Špiclin, J. Magdič, 2023, Medical Imaging.

Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2020, MICCAI.

Geometric calibration of a hyperspectral imaging system.

Bostjan Likar, Franjo Pernus, Miran Bürmen, 2010, Applied optics.

Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem

Ž. Špiclin, Lara Dular, Martin Zukovec, 2021, BrainLes@MICCAI.

Robust Estimation of Unbalanced Mixture Models on Samples with Outliers

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Computer-Aided Detection and Quantification of Intracranial Aneurysms

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2015, MICCAI.

Deep Shape Features for Predicting Future Intracranial Aneurysm Growth

F. Pernus, Ž. Špiclin, Ziga Bizjak, 2021, Frontiers in Physiology.

Automated segmentation of MS lesions in brain MR images using localized trimmed-likelihood estimation

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2013, Medical Imaging.

A framework for automatic creation of gold-standard rigid 3D–2D registration datasets

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2017, International Journal of Computer Assisted Radiology and Surgery.

3D-2D Registration of Cerebral Angiograms: A Method and Evaluation on Clinical Images

Uros Mitrovic, Bostjan Likar, Franjo Pernus, 2013, IEEE Transactions on Medical Imaging.

Groupwise Registration of Multimodal Images by an Efficient Joint Entropy Minimization Scheme

Bostjan Likar, Franjo Pernus, Ziga Spiclin, 2012, IEEE Transactions on Image Processing.