Prof. Žiga Špiclin Profile

Prof. Žiga Špiclin

at Univ of Ljubljana

SPIE Involvement:

Author

Publications (20)

Proceedings Article | 3 April 2024 Poster + Paper

Deep shape based intracranial aneurysm rupture prediction

June Ho Choi, Žiga Bizjak, Wonhyoung Park, Jannik Sobisch, Žiga Špiclin

Proceedings Volume 12927, 129272I (2024) https://doi.org/10.1117/12.3007178

KEYWORDS: Aneurysms, Feature selection, Random forests, Machine learning, Image segmentation, Performance modeling, Education and training, Data modeling, Deep learning, Cross validation

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Proceedings Article | 7 April 2023 Poster + Paper

Predicting future multiple sclerosis disease progression from MR scans

Lara Dular, Gregor Brecl-Jakob, Lina Savšek, Jožef Magdič, Žiga Špiclin

Proceedings Volume 12465, 124652U (2023) https://doi.org/10.1117/12.2654416

KEYWORDS: Multiple sclerosis, Magnetic resonance imaging, Diseases and disorders, Binary data, Data modeling, Brain

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Proceedings Article | 4 April 2022 Poster + Paper

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

Žiga Bizjak, Aichi Chien, Iza Burnik, Žiga Špiclin

Proceedings Volume 12032, 120322X (2022) https://doi.org/10.1117/12.2611756

KEYWORDS: Image segmentation, Angiography, Visualization, Performance modeling, Gaussian filters, Arteries, 3D modeling, Data modeling, Anisotropic filtering, Visual process modeling

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Proceedings Article | 15 February 2021 Presentation + Paper

Modality agnostic intracranial aneurysm detection through supervised vascular surface classification

Žiga Bizjak, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

Proceedings Volume 11597, 115970O (2021) https://doi.org/10.1117/12.2580868

KEYWORDS: Aneurysms, Angiography, 3D modeling, Visualization, Performance modeling, Neural networks

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Proceedings Article | 13 March 2019 Presentation + Paper

Registration based detection and quantification of intracranial aneurysm growth

Žiga Bizjak, Tim Jerman, Boštjan Likar, Franjo Pernuš, Aichi Chien, Žiga Špiclin

Proceedings Volume 10950, 1095007 (2019) https://doi.org/10.1117/12.2512781

KEYWORDS: Aneurysms, Shape analysis, Statistical analysis, Feature extraction, Image registration, Angiography, Rigid registration, Neck, Image visualization, Receivers

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Proceedings Article | 2 March 2018 Presentation + Paper

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

Domen Ravnik, Tim Jerman, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Proceedings Volume 10574, 105741J (2018) https://doi.org/10.1117/12.2293702

KEYWORDS: Image segmentation, Scanners, Brain, Neuroimaging, Magnetic resonance imaging, Convolutional neural networks, Image processing, 3D image processing, Performance modeling, Magnetism

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SPIE Journal Paper | 1 November 2017

Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesions

Alfiia Galimzianova, Ziga Lesjak, Daniel Rubin, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

JMI, Vol. 5, Issue 01, 011007, (November 2017) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.011007

KEYWORDS: Image segmentation, Magnetic resonance imaging, Brain, Neuroimaging, Magnetism, Data modeling, Databases, Performance modeling, 3D modeling, Statistical analysis

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Proceedings Article | 10 March 2017 Paper

Regression without truth with Markov chain Monte-Carlo

Hennadii Madan, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Proceedings Volume 10136, 101360K (2017) https://doi.org/10.1117/12.2255880

KEYWORDS: Error analysis, Statistical analysis, Statistical modeling, Medical imaging, Probability theory, Blood, Optimization (mathematics), Heart, Image segmentation, Computed tomography

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Proceedings Article | 20 March 2015 Paper

Beyond Frangi: an improved multiscale vesselness filter

Tim Jerman, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Proceedings Volume 9413, 94132A (2015) https://doi.org/10.1117/12.2081147

KEYWORDS: Image segmentation, Image enhancement, Angiography, Visualization, Signal to noise ratio, 3D image processing, 3D image enhancement, Pathology, Spherical lenses, Lithium

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Proceedings Article | 20 March 2015 Paper

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

Alfiia Galimzianova, Žiga Lesjak, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

Proceedings Volume 9413, 94133G (2015) https://doi.org/10.1117/12.2081642

KEYWORDS: Image segmentation, Magnetic resonance imaging, Brain, Neuroimaging, Tissues, Pathology, Statistical modeling, Fuzzy logic, Data modeling, Statistical analysis

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Proceedings Article | 18 March 2015 Paper

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

Hennadii Madan, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

Proceedings Volume 9415, 94151G (2015) https://doi.org/10.1117/12.2081908

KEYWORDS: Gold, Image registration, 3D imaging standards, 3D image processing, Calibration, Standards development, X-rays, Image processing, Angiography, 3D acquisition

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Proceedings Article | 11 March 2014 Paper

Validation and comparison of intensity based methods for change detection in serial brain images

Žiga Lesjak, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Proceedings Volume 9037, 90371C (2014) https://doi.org/10.1117/12.2043102

KEYWORDS: Magnetic resonance imaging, Databases, Brain, Neuroimaging, Data modeling, Binary data, Image registration, Principal component analysis, Statistical modeling, Magnetism

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Proceedings Article | 13 March 2013 Paper

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

Uroš Mitrović, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Proceedings Volume 8669, 866931 (2013) https://doi.org/10.1117/12.2007009

KEYWORDS: Image registration, 3D image processing, Gold, Imaging systems, Calibration, 3D imaging standards, 3D acquisition, Angiography, Pathology, Sensors

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Proceedings Article | 13 March 2013 Paper

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

Alfiia Galimzianova, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Proceedings Volume 8669, 86693E (2013) https://doi.org/10.1117/12.2006381

KEYWORDS: Image segmentation, Brain, Magnetic resonance imaging, Tissues, Neuroimaging, Expectation maximization algorithms, Magnetism, Process modeling, 3D image processing, Image classification

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Proceedings Article | 28 February 2012 Paper

Characterization and modelling of the spatially- and spectrally-varying point-spread function in hyperspectral imaging systems for computational correction of axial optical aberrations

Žiga Špiclin, Miran Bürmen, Franjo Pernuš, Boštjan Likar

Proceedings Volume 8215, 82150R (2012) https://doi.org/10.1117/12.908619

KEYWORDS: Point spread functions, Imaging systems, Image segmentation, Spatial resolution, Hyperspectral imaging, Optical aberrations, Modulation transfer functions, Image deconvolution, Image analysis, Image resolution

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Proceedings Article | 14 February 2012 Paper

3D-2D registration of cerebral angiograms based on vessel directions and intensity gradients

Uroš Mitrovic, Žiga Špiclin, Darko Štern, Primož Markelj, Boštjan Likar, Zoran Miloševic, Franjo Pernuš

Proceedings Volume 8314, 83141T (2012) https://doi.org/10.1117/12.910904

KEYWORDS: Image registration, 3D image processing, Gold, 3D imaging standards, Phase modulation, Angiography, Databases, Chromium, Navigation systems, Pathology

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Proceedings Article | 12 March 2011 Paper

Groupwise consistent image registration: a crucial step for the construction of a standardized near infrared hyper-spectral teeth database

Žiga Špiclin, Peter Usenik, Miran Bürmen, Aleš Fidler, Franjo Pernuš, Boštjan Likar

Proceedings Volume 7962, 79622A (2011) https://doi.org/10.1117/12.877940

KEYWORDS: Image registration, Near infrared, Teeth, Image restoration, Databases, Cameras, X-ray imaging, X-rays, Information visualization, Image processing

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Proceedings Article | 22 February 2011 Paper

Correction of axial optical aberrations in hyperspectral imaging systems

Žiga Špiclin, Franjo Pernuš, Boštjan Likar

Proceedings Volume 7891, 78910S (2011) https://doi.org/10.1117/12.873180

KEYWORDS: Point spread functions, Image restoration, Imaging systems, Hyperspectral systems, Image quality, Optical aberrations, Image processing, Deconvolution, Expectation maximization algorithms, Optical calibration

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Proceedings Article | 24 February 2010 Paper

Geometrical calibration of an AOTF hyper-spectral imaging system

Žiga Špiclin, Jaka Katrašnik, Miran Bürmen, Franjo Pernuš, Boštjan Likar

Proceedings Volume 7556, 75560I (2010) https://doi.org/10.1117/12.841727

KEYWORDS: Calibration, Imaging systems, Hyperspectral systems, Cameras, Optical aberrations, Distortion, Affine motion model, Optical filters, Image registration, Optical testing

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Proceedings Article | 27 March 2009 Paper

Registration of EEG electrode positions to PET and fMRI images

Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Proceedings Volume 7259, 72592J (2009) https://doi.org/10.1117/12.811892

KEYWORDS: Electrodes, Electroencephalography, Image registration, Positron emission tomography, Brain, Functional magnetic resonance imaging, Magnetic resonance imaging, Neuroimaging, Monte Carlo methods, Tomography

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Showing 5 of 20 publications

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