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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: 1.863 (2016); 97/197 surgery; 2. četrtina]

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Alfiia Galimzianova, Žiga Lesjak, Daniel L. Rubin, Boštjan Likar, Franjo Pernuš in Žiga Špiclin
Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesions
Journal of Medical Imaging, 5(1):011007 , 2018
[doi: 10.1117/1.JMI.5.1.011007]

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Hennadii Madan, Franjo Pernuš in Žiga Špiclin
Reference-free error estimation for multiple measurement methods
Statistical Methods in Medical Research, 2018
[doi: 10.1177/0962280217754231]
[FV: 3.953 (2016); 3/124 statistics & probability; 1. četrtina]

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Uroš Petković, Robert Korez, Stefan Parent, Samuel Kadoury in Tomaž Vrtovec
3D Cobb angle measurements from scoliotic mesh models with varying face-vertex density
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 10734:48-58, 2018
[doi: 10.1007/978-3-319-74113-0_5]

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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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