Our Publications

Publications for 'Žiga Špiclin'

Papers in Journals

Lara Dular, Žiga Špiclin

BASE: brain age standardized evaluation

NeuroImage, 285:120469, 2024

JCR Impact Factor: 5.7 (2022) -- Best Category: 1/14 neuroimaging -- Quartile: 1

Papers in Journals

Lara Dular, Franjo Pernuš, Žiga Špiclin

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

Computers in Biology and Medicine, 173:108320, 2024

JCR Impact Factor: 7.7 (2022) -- Best Category: 4/55 mathematical & computational biology -- Quartile: 1

Papers in Journals

Maj Jožef, Igor Locatelli, Gregor Brecl Jakob, Lina Savšek, Katarina Šurlan Popovič, Žiga Špiclin, Uroš Rot, Mitja Kos

Psychometric evaluation of the 5-item Medication Adherence Report Scale questionnaire in persons with multiple sclerosis

PLoS One, 19(3):e0294116, 2024

JCR Impact Factor: 3.7 (2022) -- Best Category: 26/73 multidisciplinary sciences -- Quartile: 2

Papers in Conference Proceedings

June H. Choi, Žiga Bizjak, Wonhyoung Park, Jannik Sobisch, Žiga Špiclin

Deep shape based intracranial aneurysm rupture prediction

SPIE Medical Imaging 2024: Computer-Aided Diagnosis, Feb 18-22, San Diego, CA, USA (W. Chen, S.M. Astley, Eds.), 12927:129272I, 2024

Papers in Journals

Žiga Bizjak, Žiga Špiclin

A systematic review of deep-learning methods for intracranial aneurysm detection in CT angiography

Biomedicines, 11(11):2921, 2023

JCR Impact Factor: 4.7 (2022) -- Best Category: 68/278 pharmacology & pharmacy -- Quartile: 1

Papers in Journals

Žiga Bizjak, June Ho Choi, Wonhyoung Park, Franjo Pernuš, Žiga Špiclin

Deep geometric learning for intracranial aneurysm detection: towards expert rater performance

Journal of Neurointerventional Surgery, 2023

JCR Impact Factor: 4.9 (2022) -- Best Category: 2/14 neuroimaging -- Quartile: 1

Papers in Journals

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

Napovedovanje kliničnega poteka multiple skleroze iz magnetnoresonančnih slik: predhodni rezultati raziskave

Medicinski razgledi, 62(suppl. 1):51-57, 2023

Papers in Conference Proceedings

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

Predicting future multiple sclerosis disease progression from MR scans

SPIE Medical Imaging 2023: Image Processing, Feb 19-23, San Diego, CA, USA (I. Išgum, O. Colliot, Eds.), 12465:124652U, 2023

Abstracts in Conference Proceedings

Žiga Bizjak, Gregor Brecl Jakob, Žiga Špiclin

Design and validation of an autonomous nine hole peg test

9th Joint ECTRIMS-ACTRIMS meeting - MSMilan2023, Oct 11-13, Milan, Italy, Multiple Scleroris Journal 29(Suppl 3):752-753, 2023

Abstracts in Conference Proceedings

Lara Dular, Domen Preložnik, Gregor Brecl Jakob, Lina Savšek, Jožef Magdič, Bojan Rojc, Žiga Špiclin

Future MS disease progression prediction using deep learning on conventional MRI scans

ACTRIMS Forum 2023, Feb 23-25, San Diego, USA, Multiple Scleroris Journal 29(Suppl 2):151, 2023

Abstracts in Conference Proceedings

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

Prediction of future disease progression from magnetic resonance images using brain and lesion volumetry and lesion-induced tract disconnectivity

9th Joint ECTRIMS-ACTRIMS meeting - MSMilan2023, Oct 11-13, Milan, Italy, Multiple Scleroris Journal 29(Suppl 3):323-324, 2023

Papers in Journals

Aichi Chien, Žiga Špiclin, Žiga Bizjak, Kambiz Nael

Computer-assisted aneurysm growth evaluation and detection (AGED): comparison with clinical aneurysm follow-up

Journal of Blood Disorders & Transfusion, 13(8):1000517, 2022

Papers in Journals

Leon Jarabek, Jan Jamšek, Anka Cuderman, Sebastijan Rep, Marko Hočevar, Tomaž Kocjan, Mojca Jensterle Sever, Žiga Špiclin, Žiga Maček Ležaić, Filip Cvetko, Luka Ležaič

Detection and localization of hyperfunctioning parathyroid glands on [18F]fluorocholine PET/CT using deep learning - model performance and comparison to human experts

Radiology and Oncology, 56(4):440-452, 2022

JCR Impact Factor: 2.4 (2022) -- Best Category: 79/135 radiology, nuclear medicine & medical imaging -- Quartile: 3

Papers in Conference Proceedings

Jannik Sobisch, Žiga Bizjak, Aichi Chien, Žiga Špiclin

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

1st International Workshop on Geometric Deep Learning in Medical Image Analysis - GeoMedIA 2022, Nov 18, Amsterdam, the Netherlands, Proceedings of Machine Learning Research 194:34-44, 2022

Papers in Conference Proceedings

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

Deep learning based modality-independent intracranial aneurysm detection

25th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, Sep 18-22, Singapore (L. Wang et al., Eds.), Lecture Notes in Computer Science 13433:760-769, 2022

Papers in Conference Proceedings

Lara Dular, Žiga Špiclin

Mixup augmentation improves age prediction from T1-weighted brain MRI scans

5th International Workshop on Predictive Intelligence in Medicine - MICCAI-PRIME 2022, Sep 20, Singapore (I. Rekik et al., Eds.), Lecture Notes in Computer Science 13564:60-70, 2022

Papers in Conference Proceedings

Martin Žukovec, Lara Dular, Žiga Špiclin

Modeling multi-annotator uncertainty as multi-class segmentation problem

7th BrainLes International Workshop, held in conjunction with the 24th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2021, Sep 27, Strasbourg, France (A. Crimi, S. Bakas, Eds.), Lecture Notes in Computer Science 12962:112-123, 2022

Papers in Conference Proceedings

Žiga Bizjak, Aichi Chien, Iza Burnik, Žiga Špiclin

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

SPIE Medical Imaging 2022: Image Processing, Feb 20-24, San Diego, CA, USA (I. Išgum, O. Colliot, Eds.), 12032:120322X, 2022

Papers in Journals

Žiga Bizjak, Franjo Pernuš, Žiga Špiclin

Deep shape features for predicting future intracranial aneurysm growth

Frontiers in Physiology, 12:644349, 2021

JCR Impact Factor: 4.755 (2021) -- Best Category: 20/81 physiology -- Quartile: 1

Papers in Journals

Lina Savšek, Tamara Stergar, Vojko Strojnik, Alojz Ihan, Aleš Koren, Žiga Špiclin, Saša Šega Jazbec

Impact of aerobic exercise on clinical and magnetic resonance imaging biomarkers in persons with multiple sclerosis: an exploratory randomized controlled trial

Journal of Rehabilitation Medicine, 53(4):jrm00178, 2021

JCR Impact Factor: 3.959 (2021) -- Best Category: 13/68 rehabilitation -- Quartile: 1

Papers in Journals

Žiga Bizjak, Žiga Špiclin

Napovedovanje prihodnje rasti intrakranialnih anevrizem

Elektrotehniški vestnik - Electrotechnical Review, 88(3):136-140, 2021

Papers in Conference Proceedings

Lara Dular, Žiga Špiclin

Improving across dataset brain age predictions using transfer learning

4th International Workshop on Predictive Intelligence in Medicine - MICCAI-PRIME 2021, Oct 1, Strasbourg, France (I. Rekik et al., Eds.), Lecture Notes in Computer Science 12928:243-254, 2021

Papers in Conference Proceedings

Žiga Bizjak, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

Modality agnostic intracranial aneurysm detection through supervised vascular surface classification

SPIE Medical Imaging 2021: Computer-Aided Diagnosis, Feb 15-20 (A. M. Mazurowski, K. Drukker, Eds.), 11597:115970O, 2021

Papers in Journals

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

Automated cutting plane positioning for intracranial aneurysm quantification

IEEE Transactions on Biomedical Engineering, 67(2):577-587, 2020

JCR Impact Factor: 4.538 (2020) -- Best Category: 24/90 engineering, biomedical -- Quartile: 2

Papers in Journals

Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernuš, Žiga Špiclin

Practical priors for Bayesian inference of latent biomarkers

IEEE Journal of Biomedical and Health Informatics, 24(2):396-406, 2020

JCR Impact Factor: 5.772 (2020) -- Best Category: 5/58 mathematical & computational biology -- Quartile: 1

Papers in Conference Proceedings

Žiga Bizjak, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

Vascular surface segmentation for intracranial aneurysm isolation and quantification

23rd International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, Oct 4-8, Lima, Peru (A. L. Martel et al., Eds.), Lecture Notes in Computer Science 12266:128-137, 2020

Abstracts in Conference Proceedings

Lara Dular, Žiga Špiclin

Deep learning models for brain age estimation

Computational Approaches for Ageing and Age-Related Diseases - CompAge 2020, Sep 1-2, Paris, France, 2020

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Books and Book Chapters

Žiga Špiclin, Jamie McClelland, Jan Kybic, Orcun Goksel

9th International Workshop on Biomedical Image Registration, WBIR 2020, Dec 1-2, Portotož, Slovenia

Lecture Notes in Computer Science, 12120, 2020

Other Publications

Žiga Špiclin

Analiza medicinskih slik: laboratorijske vaje v programskem jeziku Python

Univerza v Ljubljani, Fakulteta za elektrotehniko, Laboratorij za slikovne tehnologije, 2020

Other Publications

Žiga Špiclin

Analiza medicinskih slik: predavanja

Univerza v Ljubljani, Fakulteta za elektrotehniko, Laboratorij za slikovne tehnologije, 2020

Papers in Conference Proceedings

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

Registration based detection and quantification of intracranial aneurysm growth

SPIE Medical Imaging 2019: Computer-Aided Diagnosis, Feb 16-21, San Diego, CA, USA (K. Mori, H. K. Hahn, Eds.), 10950:1095007, 2019

Books and Book Chapters

Timur Aksoy, Gozde Unal, Franjo Pernuš, Žiga Špiclin

3D-2D registration of vascular structures

Chapter 10 of the book Vascular and Intravascular Imaging Trends, Analysis, and Challenges, Vol. 1, Stent Applications (IOP Publishing), 1-33, 2019

Other Publications

Žiga Špiclin

Robotski vid: predavanja

Univerza v Ljubljani, Fakulteta za elektrotehniko, Laboratorij za slikovne tehnologije, 2019

Other Publications

Žiga Špiclin

Zasnova in razvoj izdelkov: laboratorijske vaje

Univerza v Ljubljani, Fakulteta za elektrotehniko, Laboratorij za slikovne tehnologije, 2019

Papers in Journals

Uroš Mitrović, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

3D–2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms

International Journal of Computer Assisted Radiology and Surgery, 13(2):193-202, 2018

JCR Impact Factor: 2.155 (2018) -- Best Category: 83/203 surgery -- Quartile: 2

Papers in Journals

Žiga Lesjak, Alfiia Galimzianova, Aleš Koren, Matej Lukin, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

A novel public MR image dataset of multiple sclerosis patients with lesion segmentations based on multi-rater consensus

Neuroinformatics, 16(1):51-63, 2018

JCR Impact Factor: 5.127 (2018) -- Best Category: 9/106 computer science, interdisciplinary applications -- Quartile: 1

Papers in Journals

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

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

Journal of Medical Imaging, 5(1):011007, 2018

Papers in Journals

Hennadii Madan, Franjo Pernuš, Žiga Špiclin

Reference-free error estimation for multiple measurement methods

Statistical Methods in Medical Research, 28(7):2196-2209, 2018

JCR Impact Factor: 2.388 (2018) -- Best Category: 15/123 statistics & probability -- Quartile: 1

Papers in Conference Proceedings

Myra Cheng, Alfiia Galimzianova, Žiga Lesjak, Žiga Špiclin, Christopher B. Lock, Daniel L. Rubin

A multi-scale multiple sclerosis lesion change detection in a multi-sequence MRI

4th International Workshop on Deep Learning in Medical Image Analysis - DLMIA 2018 & 8th International Workshop on Multimodal Learning for Clinical Decision Support - ML-CDS 2018, held in conjunction with the 21th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, Sep 20, Granada, Spain (D. Stoyanov et al., Eds.), Lecture Notes in Computer Science 11045:353-360, 2018

Papers in Conference Proceedings

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

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

SPIE Medical Imaging 2018: Image Processing, Feb 10-15, Houston, TX, USA (E. D. Angelini, B. A. Landman, Eds.), 10574:105741J, 2018

Papers in Conference Proceedings

Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernuš, Žiga Špiclin

Predicting nucleus basalis of Meynert volume from compartmental brain segmentations

1st International Workshop on Predictive Intelligence in Medical Imaging - PRIME 2018, held in conjunction with the 21th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, Sep 16, Granada, Spain (I. Rekik et al., Eds.), Lecture Notes in Computer Science 11121:68-75, 2018

Abstracts in Conference Proceedings

Jožef Magdič, Žiga Špiclin, Tanja Hojs-Fabjan

Brain volume loss in RRMS is associated to clinical scores irrespective of quantification method

70th Annual Meeting og the American Academy of Neurology - AAN 2018, Apr 21-27, Los Angeles CA, USA, Neurology 90(suppl. 15):P3.371, 2018

Other Publications

Žiga Špiclin

Interdisciplinarni projekti: laboratorijske vaje

Univerza v Ljubljani, Fakulteta za elektrotehniko, Laboratorij za slikovne tehnologije, 2018

Papers in Journals

Hennadii Madan, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

A framework for automatic creation of gold-standard rigid 3D-2D registration datasets

International Journal of Computer Assisted Radiology and Surgery, 12(2):263-275, 2017

JCR Impact Factor: 1.961 (2017) -- Best Category: 89/200 surgery -- Quartile: 2

Papers in Journals

Žiga Lesjak, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

Določitev optimalnih značilnic za zaznavo sprememb bele možganovine

Elektrotehniški vestnik - Electrotechnical Review, 84(3):85-92, 2017

Papers in Journals

Timur Aksoy, Žiga Špiclin, Franjo Pernuš, Gözde Ünal

Monoplane 3D-2D registration of cerebral angiograms based on multi-objective stratified optimization

Physics in Medicine and Biology, 62(24):9377-9394, 2017

JCR Impact Factor: 2.665 (2017) -- Best Category: 27/78 engineering, biomedical -- Quartile: 2

Papers in Conference Proceedings

Tim Jerman, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

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

14th IEEE International Symposium on Biomedical Imaging - ISBI 2017, Apr 18-21, Melbourne, Australia (G. Egan, O. Salvado, Eds.), 612-615, 2017

Papers in Conference Proceedings

Hennadii Madan, Franjo Pernuš, Žiga Špiclin

Benchmarking quantitative imaging biomarker measurement methods without a gold standard

20th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, Sep 10-14, Québec City, Canada (M. Descoteaux et al., Eds.), Lecture Notes in Computer Science 10434:763-771, 2017

Papers in Conference Proceedings

Hennadii Madan, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Regression without truth with Markov chain Monte-Carlo

SPIE Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, Feb 11-16, Orlando, FL, USA (M. A. Kupinski, R. M. Nishikawa, Eds.), 10136:101360K, 2017

Abstracts in Conference Proceedings

Lina Savšek, Vojko Strojnik, Alojz Ihan, Žiga Špiclin, Saša Šega

Brain atrophy in multiple sclerosis could be ameliorated by aerobic exercise (EP1849)

7th Joint ECTRIMS-ACTRIMS Meeting - MSPARIS2017, Oct 25-28, Paris, France, Multiple Sclerosis Journal 23(suppl. 3):974, 2017

Abstracts in Conference Proceedings

Lina Savšek, Vojko Strojnik, Žiga Špiclin, Saša Šega

Evaluation of the human activity profile on patients with multiple sclerosis (EP1417)

7th Joint ECTRIMS-ACTRIMS Meeting - MSPARIS2017, Oct 25-28, Paris, France, Multiple Sclerosis Journal 23(suppl. 3):747, 2017

Abstracts in Conference Proceedings

Hennadii Madan, Lina Savšek, Saša Šega, Žiga Špiclin

Method for assessing quality of lesion volume and brain atrophy measurements

7th Joint ECTRIMS-ACTRIMS Meeting - MSPARIS2017, Oct 25-28, Paris, France, Multiple Sclerosis Journal 23(suppl. 3):593-594, 2017

Papers in Journals

Tim Jerman, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Blob enhancement and visualization for improved intracranial aneurysm detection

IEEE Transactions on Visualization and Computer Graphics, 22(6):1705-1717, 2016

JCR Impact Factor: 2.254 (2016) -- Best Category: 14/106 computer science, sowtware engineering -- Quartile: 1

Papers in Journals

Tim Jerman, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Enhancement of vascular structures in 3D and 2D angiographic images

IEEE Transactions on Medical Imaging, 35(9):2107-2118, 2016

JCR Impact Factor: 3.942 (2016) -- Best Category: 9/105 computer science, interdisciplinary applications -- Quartile: 1

Papers in Journals

Alfiia Galimzianova, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

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

NeuroImage, 124(Part A):1031-1043, 2016

JCR Impact Factor: 5.835 (2016) -- Best Category: 1/14 neuroimaging -- Quartile: 1

Papers in Journals

Žiga Lesjak, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Validation of white-matter lesion change detection methods on a novel publicly available MRI image database

Neuroinformatics, 14(4):403-420, 2016

JCR Impact Factor: 3.200 (2016) -- Best Category: 17/105 computer science, interdisciplinary applications -- Quartile: 1

Papers in Conference Proceedings

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

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

23rd International Conference on Pattern Recognition - ICPR 2016, Dec 4-8, Cancun, Mexico, 1484-1489, 2016

Papers in Conference Proceedings

Tim Jerman, Alfiia Galimzianova, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Combining unsupervised and supervised methods for lesion segmentation

1st BrainLes International Workshop, held in conjunction with the 18th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2015, Oct 5, Munich, Germany, Lecture Notes in Computer Science 9556:45-56, 2016

Papers in Conference Proceedings

Žiga Špiclin

Kvantifikacija magnetnoresonančnih slik bolnikov z multiplo sklerozo [Quantification of magnetic resonance images of patients with multiple sclerosis]

3. srečanje z multiplo sklerozo, 2. december, Maribor, Slovenija (T. Hojs-Fabjan, S. Šega, ur.), Medicinski razgledi, 55(suppl. 5):5-9, 2016

Abstracts in Conference Proceedings

Žiga Špiclin

Kvantitativne meritve možganskih struktur z avtomatsko analizo MR slik

6. kongres radiologov Slovenije, 17.-19. november, Nova Gorica, Slovenija (M. Marlot-Mušič et al., ur.), 57, 2016

Other Publications

Žiga Špiclin

Robotski vid: laboratorijske vaje v programskem jeziku Matlab

Univerza v Ljubljani, Fakulteta za elektrotehniko, Laboratorij za slikovne tehnologije, 2016

Papers in Journals

Alfiia Galimzianova, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Robust estimation of unbalanced mixture models on samples with outliers

IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(11):2273-2285, 2015

JCR Impact Factor: 6.077 (2015) -- Best Category: 5/255 engineering, electrical & electronic -- Quartile: 1

Papers in Journals

Uroš Mitrović, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Simultaneous 3D–2D image registration and C-arm calibration: application to endovascular image-guided interventions

Medical Physics, 42(11):6433-6447, 2015

JCR Impact Factor: 2.496 (2015) -- Best Category: 41/124 radiology, nuclear medicine & medical imaging -- Quartile: 2

Papers in Journals

Žiga Špiclin

Vrednotenje mer podobnosti med strukturnimi tenzorji za poravnavo 3D in 2D slik

Elektrotehniški vestnik - Electrotechnical Review, 82(1-2):66-72, 2015

Papers in Conference Proceedings

Tim Jerman, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Beyond Frangi: an improved multiscale vesselness filter

SPIE Medical Imaging 2015: Image Processing, Feb 21-26, Orlando, FL, USA (S. Ourselin, M. A. Styner, Eds.), 9413:94132A-1-11, 2015

Papers in Conference Proceedings

Tim Jerman, Alfiia Galimzianova, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Combining unsupervised and supervised methods for lesion segmentation

1st Brain Lesions Workshop - MICCAI-Brainles 2015, Oct 5, Munich, Germany, 28-35, 2015

Papers in Conference Proceedings

Tim Jerman, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Computer-aided detection and quantification of intracranial aneurysms

18th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2015, Oct 5-9, Munich, Germany (N. Navab et al., Eds.), Lecture Notes in Computer Science 9350:3-10, 2015

Papers in Conference Proceedings

Hennadii Madan, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

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

SPIE Medical Imaging 2015: Image-Guided Procedures, Feb 21-26, Orlando, FL, USA (Z. R. Yaniv, R. J. Webster III, Eds.), 9415:94151G-1-10, 2015

Papers in Conference Proceedings

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

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

SPIE Medical Imaging 2015: Image Processing, Feb 21-26, Orlando, FL, USA (S. Ourselin, M. A. Styner, Eds.), 9413:94133G-1-9, 2015

Abstracts in Conference Proceedings

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

Increased accuracy and reproducibility of MS lesion volume quantification by using publicly available BrainSeg3D image analysis software

Multiple Sclerosis Journal, 21(Suppl. 11):500-501, 2015

JCR Impact Factor: 4.671 (2015) -- Best Category: 27/192 clinical neurology -- Quartile: 1

Papers in Conference Proceedings

Uroš Mitrović, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Automatic detection of misalignment in rigid 3D-2D registration

2nd International Workshop on Clinical Image-Based Procedures: Translational Research in Medical Imaging - CLIP 2013, held in conjunction with the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, Sep 22, Nagoya, Japan (M. Erdt et al., Eds.), Lecture Notes in Computer Science 8361:117-124, 2014

Papers in Conference Proceedings

Tim Jerman, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Blob enhancement filter for computer-aided diagnosis of cerebral aneurysms

Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting - MICCAI-CVII-STENT 2014, Sep 14, Boston, MA, USA (S.-L. Lee et al., Eds.), 14-21, 2014

Papers in Conference Proceedings

Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Fast and robust 3D to 2D image registration by backprojection of gradient covariances

6th International Workshop on Biomedical Image Registration - WBIR 2014, Jul 7-8, London, UK (S. Ourselin, M. Modat, Eds.), Lecture Notes in Computer Science 8545:124-133, 2014

Papers in Conference Proceedings

Alfiia Galimzianova, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Robust mixture-parameter estimation for unsupervised segmentation of brain MR images

3rd International Workshop on Medical Computer Vision: Large Data in Medical Imaging - MCV 2013, held in conjunvtion with MICCAI 2013, Sep 26, Nagoya, Japan (B. Menze et al., Eds.), Lecture Notes in Computer Science 8331:84-94, 2014

Papers in Conference Proceedings

Žiga Lesjak, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

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

SPIE Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, Feb 15-20, San Diego, CA, USA (C. R. Mello-Thoms, M. A. Kupinski, Eds.), 9037:90371C, 2014

Papers in Journals

Uroš Mitrović, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

3D-2D registration of cerebral angiograms: a method and evaluation on clinical images

IEEE Transactions on Medical Imaging, 32(8):1550-1563, 2013

JCR Impact Factor: 3.799 (2013) -- Best Category: 16/247 engineering, electrical & electronic -- Quartile: 1

Papers in Conference Proceedings

Alfiia Galimzianova, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

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

SPIE Medical Imaging 2013: Image Processing, Feb 9-14, Lake Buena Vista, FL, USA (S. Ourselin, D. R. Haynor, Eds.), 8669:86693E, 2013

Papers in Conference Proceedings

Uroš Mitrović, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

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

SPIE Medical Imaging 2013: Image Processing, Feb 9-14, Lake Buena Vista, FL, USA (S. Ourselin, D. R. Haynor, Eds.), 8669:866931, 2013

Papers in Conference Proceedings

Uroš Mitrović, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Method for 3D-2D registration of vascular images: application to 3D contrast agent flow visualization

1st International Workshop on Clinical Image-Based Procedures: from Planning to Intervention - CLIP 2012, held in conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, Oct 5, Nice, France (K. Drechsler et al., Eds.), Lecture Notes in Computer Science 7761:50-58, 2013

Abstracts in Conference Proceedings

Žiga Lesjak, Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Avtomatska zaznava časovno pogojenih morfoloških sprememb v MR slikah glave

8. strokovna konferenca o računalniški obdelavi slik in njeni uporabi v Sloveniji - ROSUS 2013, 21. marec, Maribor, Slovenija (B. Potočnik, ur.), 65-71, 2013

Papers in Journals

Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Groupwise registration of multi-modal images by an efficient joint entropy minimization scheme

IEEE Transactions on Image Processing, 21(5):2546-2558, 2012

JCR Impact Factor: 3.199 (2012) -- Best Category: 17/242 engineering, electrical & electronic -- Quartile: 1

Papers in Conference Proceedings

Uroš Mitrović, Žiga Špiclin, Darko Štern, Primož Markelj, Boštjan Likar, Zoran Milošević, Franjo Pernuš

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

SPIE Medical Imaging 2012: Image Processing, Feb 4-9, San Diego, CA, USA (D. R. Haynor, S. Ourselin, Eds.), 8314:83141T, 2012

Papers in Conference Proceedings

Žiga Špiclin, Miran Bürmen, Franjo Pernuš, Boštjan Likar

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

SPIE Photonics West 2012: Clinical Technologies and Systems, Design and Quality for Biomedical Technologies V, Jan 21-26, San Francisco, CA, USA (R. Raghavachari, R. Liang, J. Pfefer, Eds.), 8215:82150R, 2012

Papers in Conference Proceedings

Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Quad-tree based entropy estimator for fast and robust brain image registration

5th International Workshop on Biomedical Image Registration - WBIR 2012, Jul 7-8, Nashville, TN, USA (B. M. Dawant et al., Eds.), Lecture Notes in Computer Science 7359:160-169, 2012

Papers in Journals

Žiga Špiclin, Marko Bukovec, Franjo Pernuš, Boštjan Likar

Image registration for visual inspection of imprinted pharmaceutical tablets

Machine Vision and Applications, 22(1):197-206, 2011

JCR Impact Factor: 1.009 (2011) -- Best Category: 125/244 engineering, electrical & electronic -- Quartile: 3

Papers in Conference Proceedings

Žiga Špiclin, Franjo Pernuš, Boštjan Likar

Correction of axial optical aberrations in hyper-spectral imaging systems

SPIE Photonics West 2011: Hyperspectral Imaging Systems, Design and Quality for Biomedical Technologies IV, Jan 22-27, San Francisco, CA, USA (R. Raghavachari, R. Liang, Eds.), 7891:78910S, 2011

Papers in Conference Proceedings

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

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

SPIE Medical Imaging 2011: Image Processing, Feb 12-17, Lake Buena Vista, FL, USA (B. M. Dawant, D. R. Haynor, Eds.), 7962:79622A, 2011

Papers in Conference Proceedings

Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Information-theoretic multi-modal image registration based on the improved fast Gauss transform: application to brain images

1st International Workshop on Multimodal Brain Image Analysis - MBIA 2011, held in conjunction with the 14th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2011, Sep 18, Toronto, ON, Canada (T. Liu et al., Eds.), Lecture Notes in Computer Science 7012:135-142, 2011

Doctoral Disssertations

Žiga Špiclin

Image registration and restoration for machine vision

PhD thesis: University of Ljubljana, Faculty of Electrical Engineering, Slovenia (F. Pernuš), 2011

Papers in Journals

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

Geometric calibration of a hyperspectral imaging system

Applied Optics, 49(15):2813–2818, 2010

JCR Impact Factor: 1.703 (2010) -- Best Category: 30/70 optics -- Quartile: 2

Papers in Conference Proceedings

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

Geometrical calibration of an AOTF hyper-spectral imaging system

SPIE Photonics West 2010: Progress in Biomedical Optics and Imaging, Design and Quality for Biomedical Technologies III, Jan 23-28, San Francisco, CA, USA (R. Raghavachari, R. Liang, Eds.), 7556:75560I, 2010

Papers in Conference Proceedings

Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Real-time print localization on pharmaceutical capsules for automatic visual inspection

IEEE International Conference on Industrial Technology - ICIT 2010, Mar 14-17, Viña del Mar, Chile, 279-284, 2010

Papers in Conference Proceedings

Žiga Špiclin, Boštjan Likar, Franjo Pernuš

Registration of EEG electrode positions to PET and fMRI images

SPIE Medical Imaging 2009: Image Processing, Feb 7-12, Lake Buena Vista, FL, USA (J. P. W. Pluim, B. M. Dawant, Eds.), 7259:72592J, 2009

Papers in Conference Proceedings

Žiga Špiclin, Arne Hans, Frank Duffy, Simon Warfield, Boštjan Likar, Franjo Pernuš

EEG to MRI registration based on global and local similarities of MRI intensity distributions

11th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, Sep 6-10, New York, USA (D. Metaxas et al., Eds.), Lecture Notes in Computer Science 5241:762-770, 2008

Papers in Journals

Marko Bukovec, Žiga Špiclin, Franjo Pernuš, Boštjan Likar

Automated visual inspection of imprinted pharmaceutical tablets

Measurement Science and Technology, 18(9):2921-2930, 2007

JCR Impact Factor: 1.297 (2007) -- Best Category: 10/67 engineering, multidisciplinary -- Quartile: 1

Papers in Conference Proceedings

Marko Bukovec, Žiga Špiclin, Franjo Pernuš, Boštjan Likar

Geometrical and statistical visual inspection of imprinted tablets

10th IAPR International Conference on Machine Vision Applications - MVA 2007, May 16-18, Tokyo, Japan, 412-415, 2007

Papers in Conference Proceedings

Žiga Špiclin, Marko Bukovec, Franjo Pernuš, Boštjan Likar

Matching images of imprinted tablets

12th IEEE International Conference on Emerging Technologies and Factory Automation - ETFA 2007, Sep 25-28, Patras, Greece, 916-919, 2007

JCR Impact Factor: 5.561 -- Best Category: 3/87 radiology, nuclear medicine & medical imaging -- Quartile: 1

Abstracts in Conference Proceedings

Žiga Špiclin, Marko Bukovec, Franjo Pernuš, Boštjan Likar

Poravnava slik za vizualno kontrolo kakovosti

2. strokovna konferenca o računalniški obdelavi slik in njeni uporabi v Sloveniji - ROSUS 2007, 22. marec, Maribor, Slovenija (B. Potočnik, ur.), 55-64, 2007

Abstracts in Conference Proceedings

Marko Bukovec, Žiga Špiclin, Franjo Pernuš, Boštjan Likar

Vizualna kontrola kakovosti vtisnjenih farmacevtskih tablet

2. strokovna konferenca o računalniški obdelavi slik in njeni uporabi v Sloveniji - ROSUS 2007, 22. marec, Maribor, Slovenija (B. Potočnik, ur.), 65-74, 2007

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