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Uroš Mitrović, Boštjan Likar, Franjo Pernuš in 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
[doi: 10.1007/s11548-017-1678-2]
[FV: 1.961 (2017); 89/200 surgery; 2. četrtina]

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Žiga Lesjak, Alfiia Galimzianova, Aleš Koren, Matej Lukin, Franjo Pernuš, Boštjan Likar in 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
[doi: 10.1007/s12021-017-9348-7]
[FV: 3.852 (2017); 13/105 computer science, interdisciplinary applications; 1. četrtina]

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Matic Ivančič, Peter Naglič, Franjo Pernuš, Boštjan Likar in Miran Bürmen
Efficient estimation of subdiffusive optical parameters in real time from spatially resolved reflectance by artificial neural networks
Optics Letters, 43(12):2901-2904, 2018
[doi: 10.1364/OL.43.002901]
[FV: 3.589 (2017); 14/94 optics; 1. četrtina]

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Domen Močnik, Bulat Ibragimov, Lei Xing, Primož Strojan, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Segmentation of parotid glands from registered CT and MR images
Physica Medica, 52:33-41, 2018
[doi: 10.1016/j.ejmp.2018.06.012]
[FV: 2.240 (2017); 57/128 radiology, nuclear medicine & medical imaging; 2. četrtina]

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Dejan Knez, Janez Mohar, Robert J. Cirman, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Variability analysis of manual and computer-assisted preoperative thoracic pedicle screw placement planning
Spine, 2018
[doi: 10.1097/BRS.0000000000002659]
[FV: 2.792 (2017); 15/77 orthopedics; 1. četrtina]

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Domen Ravnik, Tim Jerman, Franjo Pernuš, Boštjan Likar in Žiga Špiclin
Dataset variability leverages white-matter lesion segmentation performance with convolutional neural network
SPIE Medical Imaging 2018, Image Processing, 10-15 Feb, Houston TX, USA, E.D. Angelini, B.A. Landman (Eds.), 10574:105741J, 2018
[doi: 10.1117/12.2293702]

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Peter Naglič, Matic Ivančič, Franjo Pernuš, Boštjan Likar in Miran Bürmen
Portable measurement system for real-time acquisition and analysis of in-vivo spatially resolved reflectance in the subdiffusive regime
SPIE Photonics West 2018, BiOS, Design and Quality for Biomedical Technologies XI, 27 Jan - 1 Feb, San Francisco, CA, USA, R.Raghavachari, R. Liang (Eds.), 10486:1048618, 2018
[doi: 10.1117/12.2290460]

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Peter Naglič, Matic Ivančič, Franjo Pernuš, Boštjan Likar in Miran Bürmen
Regression models for real-time estimation of optical and structural sample properties from subdiffusive spatially resolved reflectance
SPIE Photonics West 2018, BiOS, Optical Interactions with Tissue and Cells XXIX, 27 Jan - 1 Feb, San Francisco, CA, USA, E.D. Jansen, H.T. Beier (Eds.), 10492:104920Q, 2018
[doi: 10.1117/12.2291509]

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Robert Korez, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Segmentation of pathological spines in CT images using a two-way CNN and a collision-based model
Computational Methods and Clinical Applications in Musculoskeletal Imaging, 5th International Workshop, MSKI 2017, held in conjunction with the 20th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, Lecture Notes in Computer Science 10734:95-107, 2018
[doi: 10.1007/978-3-319-74113-0_9]

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