Our Publications

Publications in year '2018' for 'Žiga Špiclin'

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

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