Ziga Spiclin

According to our database, Ziga Spiclin authored at least 54 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BASE: Brain Age Standardized Evaluation.

Lara Dular, Ziga Spiclin, Alzheimer's Disease Neuroimaging Initiative

NeuroImage, January, 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, 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

CoRR, 2024

Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models.

Lara Dular, Franjo Pernus, Ziga Spiclin

Comput. Biol. Medicine, 2024

Improving Brain MRI Segmentation with Multi-Stage Deep Domain Unlearning.

Domen Preloznik, Ziga Spiclin

Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

Enhancing Prenatal Diagnosis: Automated Fetal Brain MRI Morphometry.

Ema Masterl, Anja Parkelj, Tina Vipotnik Vesnaver, Ziga Spiclin

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024

2023

Predicting future multiple sclerosis disease progression from MR scans.

Lara Dular, Gregor Brecl-Jakob, Lina Savsek, Jozef Magdic, Ziga Spiclin

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

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

Ziga Bizjak, Aichi Chien, Iza Burnik, Ziga Spiclin

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI Scans.

Lara Dular, Ziga Spiclin

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Deep Learning Based Modality-Independent Intracranial Aneurysm Detection.

Ziga Bizjak, June Ho Choi, Won-Hyoung Park, Ziga Spiclin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context.

Jannik Sobisch, Ziga Bizjak, Aichi Chien, Ziga Spiclin

Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

2021

Improving Across Dataset Brain Age Predictions Using Transfer Learning.

Lara Dular, Ziga Spiclin

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Modality agnostic intracranial aneurysm detection through supervised vascular surface classification.

Ziga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem.

Martin Zukovec, Lara Dular, Ziga Spiclin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

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

Automated Cutting Plane Positioning for Intracranial Aneurysm Quantification.

Tim Jerman, Aichi Chien, Franjo Pernus, Bostjan Likar, Ziga Spiclin

IEEE Trans. Biomed. Eng., 2020

Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification.

Ziga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation.

Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong-Tae Kim, Nassir Navab

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Registration based detection and quantification of intracranial aneurysm growth.

Ziga Bizjak, Tim Jerman, Bostjan Likar, Franjo Pernus, Aichi Chien, Ziga Spiclin

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

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

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

Dataset variability leverages white-matter lesion segmentation performance with convolutional neural network.

Domen Ravnik, Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations.

Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernus, Ziga Spiclin

Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

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

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

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

Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard.

Hennadii Madan, Franjo Pernus, Ziga Spiclin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Blob Enhancement and Visualization for Improved Intracranial Aneurysm Detection.

Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin

IEEE Trans. Vis. Comput. Graph., 2016

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

Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin

IEEE Trans. Medical Imaging, 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

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

Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin

NeuroImage, 2016

Automatic cutting plane identification for computer-aided analysis of intracranial aneurysms.

Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin, Aichi Chien

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

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

Beyond Frangi: an improved multiscale vesselness filter.

Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin

Proceedings of the Medical Imaging 2015: Image Processing, 2015

Locally adaptive MR intensity models and MRF-based segmentation of multiple sclerosis lesions.

Alfiia Galimzianova, Ziga Lesjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin

Proceedings of the Medical Imaging 2015: Image Processing, 2015

Device and methods for "gold standard" registration of clinical 3D and 2D cerebral angiograms.

Hennadii Madan, Bostjan Likar, Franjo Pernus, Ziga Spiclin

Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

Computer-Aided Detection and Quantification of Intracranial Aneurysms.

Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Combining Unsupervised and Supervised Methods for Lesion Segmentation.

Tim Jerman, Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

2014

Fast and Robust 3D to 2D Image Registration by Backprojection of Gradient Covariances.

Ziga Spiclin, Bostjan Likar, Franjo Pernus

Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014

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

Evaluation of 3D-2D registration methods for registration of 3D-DSA and 2D-DSA cerebral images.

Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus

Proceedings of the Medical Imaging 2013: Image Processing, 2013

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

Alfiia Galimzianova, Ziga Spiclin, Bostjan Likar, Franjo Pernus

Proceedings of the Medical Imaging 2013: Image Processing, 2013

Automatic Detection of Misalignment in Rigid 3D-2D Registration.

Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus

Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2013

Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images.

Alfiia Galimzianova, Ziga Spiclin, Bostjan Likar, Franjo Pernus

Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

2012

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

Ziga Spiclin, Bostjan Likar, Franjo Pernus

IEEE Trans. Image Process., 2012

Quad-tree Based Entropy Estimator for Fast and Robust Brain Image Registration.

Ziga Spiclin, Bostjan Likar, Franjo Pernus

Proceedings of the Biomedical Image Registration - 5th International Workshop, 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

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Method for 3D-2D Registration of Vascular Images: Application to 3D Contrast Agent Flow Visualization.

Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus

Proceedings of the Clinical Image-Based Procedures. From Planning to Intervention, 2012

2011

Image registration for visual inspection of imprinted pharmaceutical tablets.

Ziga Spiclin, Marko Bukovec, Franjo Pernus, Bostjan Likar

Mach. Vis. Appl., 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

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Information-Theoretic Multi-modal Image Registration Based on the Improved Fast Gauss Transform: Application to Brain Images.

Ziga Spiclin, Bostjan Likar, Franjo Pernus

Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

2009

Registration of EEG electrode positions to PET and fMRI images.

Ziga Spiclin, Bostjan Likar, Franjo Pernus

Proceedings of the Medical Imaging 2009: Image Processing, 2009

2008

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007

Geometrical and Statistical Visual Inspection of Imprinted Tablets.

Marko Bukovec, Ziga Spiclin, Franjo Pernus, Bostjan Likar

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

Matching images of imprinted tablets.

Ziga Spiclin, Marko Bukovec, Franjo Pernus, Bostjan Likar

Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2007