Ziga Spiclin

Orcid: 0000-0001-8300-0417

According to our database1, Ziga Spiclin authored at least 50 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
BASE: Brain Age Standardized Evaluation.
NeuroImage, January, 2024

2023
Predicting future multiple sclerosis disease progression from MR scans.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022
Novel dataset and evaluation of state-of-the-art vessel segmentation methods.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI Scans.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Deep Learning Based Modality-Independent Intracranial Aneurysm Detection.
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.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

2021
Improving Across Dataset Brain Age Predictions Using Transfer Learning.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Modality agnostic intracranial aneurysm detection through supervised vascular surface classification.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Practical Priors for Bayesian Inference of Latent Biomarkers.
IEEE J. Biomed. Health Informatics, 2020

Automated Cutting Plane Positioning for Intracranial Aneurysm Quantification.
IEEE Trans. Biomed. Eng., 2020

Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Registration based detection and quantification of intracranial aneurysm growth.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus.
Neuroinformatics, 2018

3D-2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms.
Int. J. Comput. Assist. Radiol. Surg., 2018

Dataset variability leverages white-matter lesion segmentation performance with convolutional neural network.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI.
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.
Int. J. Comput. Assist. Radiol. Surg., 2017

Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard.
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.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Blob Enhancement and Visualization for Improved Intracranial Aneurysm Detection.
IEEE Trans. Vis. Comput. Graph., 2016

Enhancement of Vascular Structures in 3D and 2D Angiographic Images.
IEEE Trans. Medical Imaging, 2016

Validation of White-Matter Lesion Change Detection Methods on a Novel Publicly Available MRI Image Database.
Neuroinformatics, 2016

Stratified mixture modeling for segmentation of white-matter lesions in brain MR images.
NeuroImage, 2016

Automatic cutting plane identification for computer-aided analysis of intracranial aneurysms.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Robust Estimation of Unbalanced Mixture Models on Samples with Outliers.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Beyond Frangi: an improved multiscale vesselness filter.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Locally adaptive MR intensity models and MRF-based segmentation of multiple sclerosis lesions.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Device and methods for "gold standard" registration of clinical 3D and 2D cerebral angiograms.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

Computer-Aided Detection and Quantification of Intracranial Aneurysms.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Combining Unsupervised and Supervised Methods for Lesion Segmentation.
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.
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014

2013
3D-2D Registration of Cerebral Angiograms: A Method and Evaluation on Clinical Images.
IEEE Trans. Medical Imaging, 2013

Evaluation of 3D-2D registration methods for registration of 3D-DSA and 2D-DSA cerebral images.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Automated segmentation of MS lesions in brain MR images using localized trimmed-likelihood estimation.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Automatic Detection of Misalignment in Rigid 3D-2D Registration.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2013

Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images.
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.
IEEE Trans. Image Process., 2012

Quad-tree Based Entropy Estimator for Fast and Robust Brain Image Registration.
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

3D-2D registration of cerebral angiograms based on vessel directions and intensity gradients.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Method for 3D-2D Registration of Vascular Images: Application to 3D Contrast Agent Flow Visualization.
Proceedings of the Clinical Image-Based Procedures. From Planning to Intervention, 2012

2011
Image registration for visual inspection of imprinted pharmaceutical tablets.
Mach. Vis. Appl., 2011

Groupwise consistent image registration: a crucial step for the construction of a standardized near infrared hyper-spectral teeth database.
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.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

2009
Registration of EEG electrode positions to PET and fMRI images.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

2008
EEG to MRI Registration Based on Global and Local Similarities of MRI Intensity Distributions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007
Geometrical and Statistical Visual Inspection of Imprinted Tablets.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

Matching images of imprinted tablets.
Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2007


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