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Ziga Spiclin
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Journal Articles
- 2024
- [j15]Lara Dular
, Franjo Pernus, Ziga Spiclin
:
Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models. Comput. Biol. Medicine 173: 108320 (2024) - [j14]Lara Dular
, Ziga Spiclin
, Alzheimer's Disease Neuroimaging Initiative:
BASE: Brain Age Standardized Evaluation. NeuroImage 285: 120469 (2024) - 2020
- [j13]Tim Jerman
, Aichi Chien
, Franjo Pernus, Bostjan Likar, Ziga Spiclin
:
Automated Cutting Plane Positioning for Intracranial Aneurysm Quantification. IEEE Trans. Biomed. Eng. 67(2): 577-587 (2020) - [j12]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): 396-406 (2020) - 2018
- [j11]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): 193-202 (2018) - [j10]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): 51-63 (2018) - 2017
- [j9]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): 263-275 (2017) - 2016
- [j8]Alfiia Galimzianova
, Franjo Pernus, Bostjan Likar, Ziga Spiclin:
Stratified mixture modeling for segmentation of white-matter lesions in brain MR images. NeuroImage 124: 1031-1043 (2016) - [j7]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): 403-420 (2016) - [j6]Tim Jerman
, Franjo Pernus, Bostjan Likar, Ziga Spiclin:
Enhancement of Vascular Structures in 3D and 2D Angiographic Images. IEEE Trans. Medical Imaging 35(9): 2107-2118 (2016) - [j5]Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin:
Blob Enhancement and Visualization for Improved Intracranial Aneurysm Detection. IEEE Trans. Vis. Comput. Graph. 22(6): 1705-1717 (2016) - 2015
- [j4]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): 2273-2285 (2015) - 2013
- [j3]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): 1550-1563 (2013) - 2012
- [j2]Ziga Spiclin, Bostjan Likar, Franjo Pernus:
Groupwise Registration of Multimodal Images by an Efficient Joint Entropy Minimization Scheme. IEEE Trans. Image Process. 21(5): 2546-2558 (2012) - 2011
- [j1]Ziga Spiclin, Marko Bukovec, Franjo Pernus, Bostjan Likar:
Image registration for visual inspection of imprinted pharmaceutical tablets. Mach. Vis. Appl. 22(1): 197-206 (2011)
Conference and Workshop Papers
- 2023
- [c36]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 - 2022
- [c35]Jannik Sobisch, Ziga Bizjak, Aichi Chien, Ziga Spiclin:
Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context. GeoMedIA 2022: 34-44 - [c34]Lara Dular, Ziga Spiclin:
Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI Scans. PRIME@MICCAI 2022: 60-70 - [c33]Ziga Bizjak, June Ho Choi
, Won-Hyoung Park, Ziga Spiclin:
Deep Learning Based Modality-Independent Intracranial Aneurysm Detection. MICCAI (3) 2022: 760-769 - [c32]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 - 2021
- [c31]Martin Zukovec, Lara Dular, Ziga Spiclin:
Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem. BrainLes@MICCAI (1) 2021: 112-123 - [c30]Ziga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin:
Modality agnostic intracranial aneurysm detection through supervised vascular surface classification. Medical Imaging: Computer-Aided Diagnosis 2021 - [c29]Lara Dular, Ziga Spiclin:
Improving Across Dataset Brain Age Predictions Using Transfer Learning. PRIME@MICCAI 2021: 243-254 - 2020
- [c28]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: 111-121 - [c27]Ziga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin
:
Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification. MICCAI (6) 2020: 128-137 - 2019
- [c26]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: 1095007 - 2018
- [c25]Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernus, Ziga Spiclin:
Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations. PRIME@MICCAI 2018: 68-75 - [c24]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: 353-360 - [c23]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: 105741J - 2017
- [c22]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: 612-615 - [c21]Hennadii Madan, Franjo Pernus, Ziga Spiclin:
Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard. MICCAI (2) 2017: 763-771 - 2016
- [c20]Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin, Aichi Chien:
Automatic cutting plane identification for computer-aided analysis of intracranial aneurysms. ICPR 2016: 1484-1489 - 2015
- [c19]Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin:
Computer-Aided Detection and Quantification of Intracranial Aneurysms. MICCAI (2) 2015: 3-10 - [c18]Tim Jerman, Alfiia Galimzianova
, Franjo Pernus, Bostjan Likar, Ziga Spiclin:
Combining Unsupervised and Supervised Methods for Lesion Segmentation. Brainles@MICCAI 2015: 45-56 - [c17]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: 94151G - [c16]Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin:
Beyond Frangi: an improved multiscale vesselness filter. Medical Imaging: Image Processing 2015: 94132A - [c15]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: 94133G - 2014
- [c14]Ziga Spiclin, Bostjan Likar, Franjo Pernus:
Fast and Robust 3D to 2D Image Registration by Backprojection of Gradient Covariances. WBIR 2014: 124-133 - 2013
- [c13]Alfiia Galimzianova
, Ziga Spiclin, Bostjan Likar, Franjo Pernus:
Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images. MCV 2013: 84-94 - [c12]Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus:
Automatic Detection of Misalignment in Rigid 3D-2D Registration. CLIP 2013: 117-124 - [c11]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: 86693E - [c10]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: 866931 - 2012
- [c9]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: 50-58 - [c8]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: 83141T - [c7]Ziga Spiclin, Bostjan Likar, Franjo Pernus:
Quad-tree Based Entropy Estimator for Fast and Robust Brain Image Registration. WBIR 2012: 160-169 - 2011
- [c6]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: 135-142 - [c5]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: 79622A - 2009
- [c4]Ziga Spiclin, Bostjan Likar, Franjo Pernus:
Registration of EEG electrode positions to PET and fMRI images. Medical Imaging: Image Processing 2009: 72592J - 2008
- [c3]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: 762-770 - 2007
- [c2]Ziga Spiclin, Marko Bukovec, Franjo Pernus, Bostjan Likar:
Matching images of imprinted tablets. ETFA 2007: 916-919 - [c1]Marko Bukovec, Ziga Spiclin, Franjo Pernus, Bostjan Likar:
Geometrical and Statistical Visual Inspection of Imprinted Tablets. MVA 2007: 412-415
Editorship
- 2020
- [e1]Ziga Spiclin
, Jamie McClelland
, Jan Kybic
, Orcun Goksel
:
Biomedical Image Registration - 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1-2, 2020, Proceedings. Lecture Notes in Computer Science 12120, Springer 2020, ISBN 978-3-030-50119-8 [contents]
Informal and Other Publications
- 2024
- [i2]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 abs/2405.18435 (2024) - 2020
- [i1]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 abs/2004.03675 (2020)
Coauthor Index
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