Ziga Spiclin - RankMe

65 papers B 10C 1Misc 1Journal 23Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge. Medical Image Anal. 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, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Ziga Spiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A. Niederer, András Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra
2026	J	`jnl`	Cross-modality white matter lesion segmentation by modality de-indentification. Pattern Recognit. Lett. Domen Preloznik, Ziga Spiclin
2026	J	`jnl`	Self-Supervised Multi-Stage Domain Unlearning for White-Matter Lesion Segmentation. CoRR Domen Preloznik, Ziga Spiclin
2025	J	`jnl`	Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. CoRR 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, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Ziga Spiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A. Niederer, András Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra
2025	J	`jnl`	Prediction of intracranial aneurysm rupture from computed tomography angiography using an automated artificial intelligence framework. Comput. Biol. Medicine June Ho Choi, Jannik Sobisch, Minwoo Kim, Jung Cheol Park, Jae Sung Ahn, Byung Duk Kwun, Ziga Spiclin, Ziga Bizjak, Wonhyoung Park
2025	—	`conf`	Robustness and Diagnostic Performance of Super-Resolution Fetal Brain MRI. PIPPI@MICCAI Ema Masterl, Tina Vipotnik Vesnaver, Ziga Spiclin
2025	J	`jnl`	Robustness and Diagnostic Performance of Super-Resolution Fetal Brain MRI. CoRR Ema Masterl, Tina Vipotnik Vesnaver, Ziga Spiclin
2024	J	`jnl`	BASE: Brain Age Standardized Evaluation. NeuroImage Lara Dular, Ziga Spiclin, Alzheimer's Disease Neuroimaging Initiative
2024	—	`ed.`	Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings WBIR Marc Modat, Ivor J. A. Simpson, Ziga Spiclin, Wietske A. P. Bastiaansen, Alessa Hering, Tony C. W. Mok
2024	—	`conf`	Enhancing Prenatal Diagnosis: Automated Fetal Brain MRI Morphometry. PIPPI@MICCAI Ema Masterl, Anja Parkelj, Tina Vipotnik Vesnaver, Ziga Spiclin
2024	J	`jnl`	Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models. Comput. Biol. Medicine Lara Dular, Franjo Pernus, Ziga Spiclin
2024	—	`conf`	Improving Brain MRI Segmentation with Multi-Stage Deep Domain Unlearning. PRIME@MICCAI Domen Preloznik, Ziga Spiclin
2024	J	`jnl`	QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR 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
2023	—	`conf`	Domain Unlearning Boosts Lesion Segmentation Performance on Seen and Unseen MR Scanner Data. BrainLes/SWITCH@MICCAI Domen Preloznik, Ziga Spiclin
2023	—	`conf`	Predicting future multiple sclerosis disease progression from MR scans. Computer-Aided Diagnosis Lara Dular, Gregor Brecl-Jakob, Lina Savsek, Jozef Magdic, Ziga Spiclin
2022	—	`conf`	Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context. GeoMedIA Jannik Sobisch, Ziga Bizjak, Aichi Chien, Ziga Spiclin
2022	—	`conf`	Deep Learning Based Modality-Independent Intracranial Aneurysm Detection. MICCAI (3) Ziga Bizjak, June Ho Choi, Won-Hyoung Park, Ziga Spiclin
2022	—	`conf`	Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI Scans. PRIME@MICCAI Lara Dular, Ziga Spiclin
2022	B	`conf`	Novel dataset and evaluation of state-of-the-art vessel segmentation methods. Image Processing Ziga Bizjak, Aichi Chien, Iza Burnik, Ziga Spiclin
2021	—	`conf`	Improving Across Dataset Brain Age Predictions Using Transfer Learning. PRIME@MICCAI Lara Dular, Ziga Spiclin
2021	—	`conf`	Modality agnostic intracranial aneurysm detection through supervised vascular surface classification. Computer-Aided Diagnosis Ziga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin
2021	—	`conf`	Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem. BrainLes@MICCAI (1) Martin Zukovec, Lara Dular, Ziga Spiclin
2020	J	`jnl`	Automated Cutting Plane Positioning for Intracranial Aneurysm Quantification. IEEE Trans. Biomed. Eng. Tim Jerman, Aichi Chien, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2020	—	`ed.`	Biomedical Image Registration - 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1-2, 2020, Proceedings WBIR Ziga Spiclin, Jamie McClelland, Jan Kybic, Orcun Goksel
2020	J	`jnl`	Practical Priors for Bayesian Inference of Latent Biomarkers. IEEE J. Biomed. Health Informatics Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernus, Ziga Spiclin
2020	—	`conf`	Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. BrainLes@MICCAI (1) Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong-Tae Kim, Nassir Navab
2020	J	`jnl`	Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. CoRR Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong Tae Kim, Nassir Navab
2020	—	`conf`	Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification. MICCAI (6) Ziga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin
2019	—	`conf`	Registration based detection and quantification of intracranial aneurysm growth. Computer-Aided Diagnosis Ziga Bizjak, Tim Jerman, Bostjan Likar, Franjo Pernus, Aichi Chien, Ziga Spiclin
2018	J	`jnl`	3D-2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms. Int. J. Comput. Assist. Radiol. Surg. Uros Mitrovic, Bostjan Likar, Franjo Pernus, Ziga Spiclin
2018	—	`conf`	A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI. DLMIA/ML-CDS@MICCAI Myra Cheng, Alfiia Galimzianova, Ziga Lesjak, Ziga Spiclin, Christopher B. Lock, Daniel L. Rubin
2018	J	`jnl`	A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus. Neuroinformatics Ziga Lesjak, Alfiia Galimzianova, Ales Koren, Matej Lukin, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2018	B	`conf`	Dataset variability leverages white-matter lesion segmentation performance with convolutional neural network. Image Processing Domen Ravnik, Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2018	—	`conf`	Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations. PRIME@MICCAI Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernus, Ziga Spiclin
2017	J	`jnl`	A framework for automatic creation of gold-standard rigid 3D-2D registration datasets. Int. J. Comput. Assist. Radiol. Surg. Hennadii Madan, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2017	—	`conf`	Aneurysm detection in 3D cerebral angiograms based on intra-vascular distance mapping and convolutional neural networks. ISBI Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2017	—	`conf`	Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard. MICCAI (2) Hennadii Madan, Franjo Pernus, Ziga Spiclin
2016	B	`conf`	Automatic cutting plane identification for computer-aided analysis of intracranial aneurysms. ICPR Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin, Aichi Chien
2016	J	`jnl`	Blob Enhancement and Visualization for Improved Intracranial Aneurysm Detection. IEEE Trans. Vis. Comput. Graph. Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2016	J	`jnl`	Enhancement of Vascular Structures in 3D and 2D Angiographic Images. IEEE Trans. Medical Imaging Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2016	J	`jnl`	Stratified mixture modeling for segmentation of white-matter lesions in brain MR images. NeuroImage Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2016	J	`jnl`	Validation of White-Matter Lesion Change Detection Methods on a Novel Publicly Available MRI Image Database. Neuroinformatics Ziga Lesjak, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2015	B	`conf`	Beyond Frangi: an improved multiscale vesselness filter. Image Processing Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2015	—	`conf`	Combining Unsupervised and Supervised Methods for Lesion Segmentation. Brainles@MICCAI Tim Jerman, Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2015	—	`conf`	Computer-Aided Detection and Quantification of Intracranial Aneurysms. MICCAI (2) Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2015	—	`conf`	Device and methods for "gold standard" registration of clinical 3D and 2D cerebral angiograms. Image-Guided Procedures Hennadii Madan, Bostjan Likar, Franjo Pernus, Ziga Spiclin
2015	B	`conf`	Locally adaptive MR intensity models and MRF-based segmentation of multiple sclerosis lesions. Image Processing Alfiia Galimzianova, Ziga Lesjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin
2015	J	`jnl`	Robust Estimation of Unbalanced Mixture Models on Samples with Outliers. IEEE Trans. Pattern Anal. Mach. Intell. Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2014	—	`conf`	Fast and Robust 3D to 2D Image Registration by Backprojection of Gradient Covariances. WBIR Ziga Spiclin, Bostjan Likar, Franjo Pernus
2013	J	`jnl`	3D-2D Registration of Cerebral Angiograms: A Method and Evaluation on Clinical Images. IEEE Trans. Medical Imaging Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus
2013	B	`conf`	Automated segmentation of MS lesions in brain MR images using localized trimmed-likelihood estimation. Image Processing Alfiia Galimzianova, Ziga Spiclin, Bostjan Likar, Franjo Pernus
2013	—	`conf`	Automatic Detection of Misalignment in Rigid 3D-2D Registration. CLIP Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus
2013	B	`conf`	Evaluation of 3D-2D registration methods for registration of 3D-DSA and 2D-DSA cerebral images. Image Processing Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus
2013	—	`conf`	Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images. MCV Alfiia Galimzianova, Ziga Spiclin, Bostjan Likar, Franjo Pernus
2012	B	`conf`	3D-2D registration of cerebral angiograms based on vessel directions and intensity gradients. Image Processing Uros Mitrovic, Ziga Spiclin, Darko Stern, Primoz Markelj, Bostjan Likar, Zoran Milosevic, Franjo Pernus
2012	J	`jnl`	Groupwise Registration of Multimodal Images by an Efficient Joint Entropy Minimization Scheme. IEEE Trans. Image Process. Ziga Spiclin, Bostjan Likar, Franjo Pernus
2012	—	`conf`	Method for 3D-2D Registration of Vascular Images: Application to 3D Contrast Agent Flow Visualization. CLIP Uros Mitrovic, Ziga Spiclin, Bostjan Likar, Franjo Pernus
2012	—	`conf`	Quad-tree Based Entropy Estimator for Fast and Robust Brain Image Registration. WBIR Ziga Spiclin, Bostjan Likar, Franjo Pernus
2011	B	`conf`	Groupwise consistent image registration: a crucial step for the construction of a standardized near infrared hyper-spectral teeth database. Image Processing Ziga Spiclin, Peter Usenik, Miran Bürmen, Ales Fidler, Franjo Pernus, Bostjan Likar
2011	J	`jnl`	Image registration for visual inspection of imprinted pharmaceutical tablets. Mach. Vis. Appl. Ziga Spiclin, Marko Bukovec, Franjo Pernus, Bostjan Likar
2011	—	`conf`	Information-Theoretic Multi-modal Image Registration Based on the Improved Fast Gauss Transform: Application to Brain Images. MBIA Ziga Spiclin, Bostjan Likar, Franjo Pernus
2009	B	`conf`	Registration of EEG electrode positions to PET and fMRI images. Image Processing Ziga Spiclin, Bostjan Likar, Franjo Pernus
2008	—	`conf`	EEG to MRI Registration Based on Global and Local Similarities of MRI Intensity Distributions. MICCAI (1) Ziga Spiclin, Arne Hans, Frank H. Duffy, Simon K. Warfield, Bostjan Likar, Franjo Pernus
2007	Misc	`conf`	Geometrical and Statistical Visual Inspection of Imprinted Tablets. MVA Marko Bukovec, Ziga Spiclin, Franjo Pernus, Bostjan Likar
2007	C	`conf`	Matching images of imprinted tablets. ETFA Ziga Spiclin, Marko Bukovec, Franjo Pernus, Bostjan Likar