Our Publications

Publications for 'Alfiia Galimzianova'

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 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 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 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 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 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

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

Doctoral Disssertations

Alfiia Galimzianova

Automated segmentation of magnetic resonance brain images into normal and pathological structures

PhD thesis: University of Ljubljana, Faculty of Electrical Engineering, Slovenia (F. Pernuš), 2015

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

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

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