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Objave za člana 'Žiga Lesjak'

Izvirni znanstveni članki

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 faktor vpliva: 5,127 (2018) -- Najboljša kategorija (angl.): 9/106 computer science, interdisciplinary applications -- Kvartil: 1

Izvirni znanstveni članki

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

Prispevki na konferencah

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

Izvirni znanstveni članki

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

Doktorske disertacije

Žiga Lesjak

Avtomatska zaznava sprememb bele možganovine v magnetno resonančnih slikah [slo]

PhD thesis: University of Ljubljana, Faculty of Electrical Engineering, Slovenia (T. Vrtovec), 2017

Izvirni znanstveni članki

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 faktor vpliva: 3,200 (2016) -- Najboljša kategorija (angl.): 17/105 computer science, interdisciplinary applications -- Kvartil: 1

Prispevki na konferencah

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

Povzetki prispevkov na konferencah

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 faktor vpliva: 4,671 (2015) -- Najboljša kategorija (angl.): 27/192 clinical neurology -- Kvartil: 1

Prispevki na konferencah

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

Povzetki prispevkov na konferencah

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

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