Ziga Spiclin

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 30

Top Topics

Lesion Segmentation

Multiple Sclerosis

Top Venues

Medical Imaging: Image Processing

Medical Imaging: Computer-Aided Diagnosis

Publications

Lara Dular, Franjo Pernus, Ziga Spiclin
Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models. Comput. Biol. Medicine 173 (2024)
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, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR (2024)
Lara Dular, Ziga Spiclin, Alzheimer's Disease Neuroimaging Initiative
BASE: Brain Age Standardized Evaluation. NeuroImage 285 (2024)
Lara Dular, Gregor Brecl-Jakob, Lina Savsek, Jozef Magdic, Ziga Spiclin
Predicting future multiple sclerosis disease progression from MR scans. Medical Imaging: Computer-Aided Diagnosis (2023)
Ziga Bizjak, Aichi Chien, Iza Burnik, Ziga Spiclin
Novel dataset and evaluation of state-of-the-art vessel segmentation methods. Medical Imaging: Image Processing (2022)
Lara Dular, Ziga Spiclin
Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI Scans. PRIME@MICCAI (2022)
Jannik Sobisch, Ziga Bizjak, Aichi Chien, Ziga Spiclin
Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context. GeoMedIA (2022)
Ziga Bizjak, June Ho Choi, Won-Hyoung Park, Ziga Spiclin
Deep Learning Based Modality-Independent Intracranial Aneurysm Detection. MICCAI (3) (2022)
Martin Zukovec, Lara Dular, Ziga Spiclin
Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem. BrainLes@MICCAI (1) (2021)
Ziga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin
Modality agnostic intracranial aneurysm detection through supervised vascular surface classification. Medical Imaging: Computer-Aided Diagnosis (2021)
Lara Dular, Ziga Spiclin
Improving Across Dataset Brain Age Predictions Using Transfer Learning. PRIME@MICCAI (2021)
Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernus, Ziga Spiclin
Practical Priors for Bayesian Inference of Latent Biomarkers. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong-Tae Kim, Nassir Navab
Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. BrainLes@MICCAI (1) (2020)
Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong Tae Kim, Nassir Navab
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. CoRR (2020)
Ziga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin
Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification. MICCAI (6) (2020)
Tim Jerman, Aichi Chien, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Automated Cutting Plane Positioning for Intracranial Aneurysm Quantification. IEEE Trans. Biomed. Eng. 67 (2) (2020)
Ziga Bizjak, Tim Jerman, Bostjan Likar, Franjo Pernus, Aichi Chien, Ziga Spiclin
Registration based detection and quantification of intracranial aneurysm growth. Medical Imaging: Computer-Aided Diagnosis (2019)
Myra Cheng, Alfiia Galimzianova, Ziga Lesjak, Ziga Spiclin, Christopher B. Lock, Daniel L. Rubin
A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI. DLMIA/ML-CDS@MICCAI (2018)
Uros Mitrovic, Bostjan Likar, Franjo Pernus, Ziga Spiclin
3D-2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms. Int. J. Comput. Assist. Radiol. Surg. 13 (2) (2018)
Ziga Lesjak, Alfiia Galimzianova, Ales Koren, Matej Lukin, Franjo Pernus, Bostjan Likar, Ziga Spiclin
A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus. Neuroinformatics 16 (1) (2018)
Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernus, Ziga Spiclin
Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations. PRIME@MICCAI (2018)
Domen Ravnik, Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Dataset variability leverages white-matter lesion segmentation performance with convolutional neural network. Medical Imaging: Image Processing (2018)
Hennadii Madan, Franjo Pernus, Ziga Spiclin
Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard. MICCAI (2) (2017)
Hennadii Madan, Franjo Pernus, Bostjan Likar, Ziga Spiclin
A framework for automatic creation of gold-standard rigid 3D-2D registration datasets. Int. J. Comput. Assist. Radiol. Surg. 12 (2) (2017)
Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Aneurysm detection in 3D cerebral angiograms based on intra-vascular distance mapping and convolutional neural networks. ISBI (2017)
Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin, Aichi Chien
Automatic cutting plane identification for computer-aided analysis of intracranial aneurysms. ICPR (2016)
Ziga Lesjak, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Validation of White-Matter Lesion Change Detection Methods on a Novel Publicly Available MRI Image Database. Neuroinformatics 14 (4) (2016)
Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Enhancement of Vascular Structures in 3D and 2D Angiographic Images. IEEE Trans. Medical Imaging 35 (9) (2016)
Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Blob Enhancement and Visualization for Improved Intracranial Aneurysm Detection. IEEE Trans. Vis. Comput. Graph. 22 (6) (2016)
Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Stratified mixture modeling for segmentation of white-matter lesions in brain MR images. NeuroImage 124 (2016)
Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Computer-Aided Detection and Quantification of Intracranial Aneurysms. MICCAI (2) (2015)
Hennadii Madan, Bostjan Likar, Franjo Pernus, Ziga Spiclin
Device and methods for "gold standard" registration of clinical 3D and 2D cerebral angiograms. Medical Imaging: Image-Guided Procedures (2015)
Alfiia Galimzianova, Ziga Lesjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin
Locally adaptive MR intensity models and MRF-based segmentation of multiple sclerosis lesions. Medical Imaging: Image Processing (2015)
Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Beyond Frangi: an improved multiscale vesselness filter. Medical Imaging: Image Processing (2015)
Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Robust Estimation of Unbalanced Mixture Models on Samples with Outliers. IEEE Trans. Pattern Anal. Mach. Intell. 37 (11) (2015)
Tim Jerman, Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Combining Unsupervised and Supervised Methods for Lesion Segmentation. Brainles@MICCAI (2015)
Ziga Spiclin, Bostjan Likar, Franjo Pernus
Fast and Robust 3D to 2D Image Registration by Backprojection of Gradient Covariances. WBIR (2014)
Alfiia Galimzianova, Ziga Spiclin, Bostjan Likar, Franjo Pernus
Automated segmentation of MS lesions in brain MR images using localized trimmed-likelihood estimation. Medical Imaging: Image Processing (2013)
Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus
Evaluation of 3D-2D registration methods for registration of 3D-DSA and 2D-DSA cerebral images. Medical Imaging: Image Processing (2013)
Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus
3D-2D Registration of Cerebral Angiograms: A Method and Evaluation on Clinical Images. IEEE Trans. Medical Imaging 32 (8) (2013)
Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus
Automatic Detection of Misalignment in Rigid 3D-2D Registration. CLIP (2013)
Alfiia Galimzianova, Ziga Spiclin, Bostjan Likar, Franjo Pernus
Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images. MCV (2013)
Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus
Method for 3D-2D Registration of Vascular Images: Application to 3D Contrast Agent Flow Visualization. CLIP (2012)
Ziga Spiclin, Bostjan Likar, Franjo Pernus
Quad-tree Based Entropy Estimator for Fast and Robust Brain Image Registration. WBIR (2012)
Uros Mitrovic, Ziga Spiclin, Darko Stern, Primoz Markelj, Bostjan Likar, Zoran Milosevic, Franjo Pernus
3D-2D registration of cerebral angiograms based on vessel directions and intensity gradients. Medical Imaging: Image Processing (2012)
Ziga Spiclin, Bostjan Likar, Franjo Pernus
Groupwise Registration of Multimodal Images by an Efficient Joint Entropy Minimization Scheme. IEEE Trans. Image Process. 21 (5) (2012)
Ziga Spiclin, Bostjan Likar, Franjo Pernus
Information-Theoretic Multi-modal Image Registration Based on the Improved Fast Gauss Transform: Application to Brain Images. MBIA (2011)
Ziga Spiclin, Peter Usenik, Miran Bürmen, Ales Fidler, Franjo Pernus, Bostjan Likar
Groupwise consistent image registration: a crucial step for the construction of a standardized near infrared hyper-spectral teeth database. Medical Imaging: Image Processing (2011)
Ziga Spiclin, Marko Bukovec, Franjo Pernus, Bostjan Likar
Image registration for visual inspection of imprinted pharmaceutical tablets. Mach. Vis. Appl. 22 (1) (2011)
Ziga Spiclin, Bostjan Likar, Franjo Pernus
Registration of EEG electrode positions to PET and fMRI images. Medical Imaging: Image Processing (2009)
Ziga Spiclin, Arne Hans, Frank H. Duffy, Simon K. Warfield, Bostjan Likar, Franjo Pernus
EEG to MRI Registration Based on Global and Local Similarities of MRI Intensity Distributions. MICCAI (1) (2008)
Ziga Spiclin, Marko Bukovec, Franjo Pernus, Bostjan Likar
Matching images of imprinted tablets. ETFA (2007)
Marko Bukovec, Ziga Spiclin, Franjo Pernus, Bostjan Likar
Geometrical and Statistical Visual Inspection of Imprinted Tablets. MVA (2007)