LABORATORY OF IMAGING TECHNOLOGIES
Publications - in year 2018 
 

 
2018
1. Uros Mitrovic, Bostjan Likar, Franjo Pernus and Ziga Spiclin. 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] [IF: 1.961 (2017); 89/200 surgery; 2nd quartile]
2. Alan Petrônio Pinheiro, Júlio Cézar Coelho, Antônio C. Paschoarelli Veiga and Tomaz Vrtovec. A computerized method for evaluating scoliotic deformities using elliptical pattern recognition in X-ray spine images. Computer Methods and Programs in Biomedicine, 161:85-92, 2018. [doi:10.1016/j.cmpb.2018.04.015] [IF: 2.674 (2017); 19/103 computer science, theory & methods; 1st quartile]
3. Ziga Lesjak, Alfiia Galimzianova, Ales Koren, Matej Lukin, Franjo Pernus, Bostjan Likar and Ziga Spiclin. 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] [IF: 3.852 (2017); 13/105 computer science, interdisciplinary applications; 1st quartile]
4. Matic Ivancic, Peter Naglic, Franjo Pernus, Bostjan Likar and Miran Buermen. 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] [IF: 3.589 (2017); 14/94 optics; 1st quartile]
5. Tomaz Vrtovec. Image Analysis & Stereology: 2017 research highlights. Image Analysis & Stereology, 37(1):1001-1007, 2018. [doi:10.5566/ias.1916] [IF: 1.424 (2017); 67/252 mathematics, applied; 2nd quartile]
6. Uros Petkovic, Robert Korez, Stefan Parent, Samuel Kadoury and Tomaz Vrtovec. Polavtomatsko merjenje 3D Cobbovega kota na trikotniski mrezi modela hrbtenice. Elektrotehniski vestnik, 85(1-2):1-6, 2018.
7. Hennadii Madan, Franjo Pernus and Ziga Spiclin. Reference-free error estimation for multiple measurement methods. Statistical Methods in Medical Research, 2018. [doi:10.1177/0962280217754231] [IF: 2.284 (2017); 17/123 statistics & probability; 1st quartile]
8. Domen Mocnik, Bulat Ibragimov, Lei Xing, Primoz Strojan, Bostjan Likar, Franjo Pernus and Tomaz 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] [IF: 2.240 (2017); 57/128 radiology, nuclear medicine & medical imaging; 2nd quartile]
9. Dejan Knez, Janez Mohar, Robert J. Cirman, Bostjan Likar, Franjo Pernus and Tomaz Vrtovec. Variability analysis of manual and computer-assisted preoperative thoracic pedicle screw placement planning. Spine, 2018. [doi:10.1097/BRS.0000000000002659] [IF: 2.792 (2017); 15/77 orthopedics; 1st quartile]
10. Uros Petkovic, Robert Korez, Stefan Parent, Samuel Kadoury and Tomaz 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]
11. Dejan Knez, Imad S. Nahle, Tomaz Vrtovec, Stefan Parent and Samuel Kadoury. Computer-assisted pedicle screw placement planning: towards clinical practice. 2018 IEEE Symposium on Biomedical Imaging: From Nano to Macro - ISBI 2018, 4-7 Apr, Washington, DC, USA, A. Amini, S. Acton (Eds.), 249-252, 2018. [doi:10.1109/ISBI.2018.8363566]
12.  Domen Ravnik, Tim Jerman, Franjo Pernus, Bostjan Likar and Ziga Spiclin . 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]
13. Peter Naglic, Matic Ivancic, Franjo Pernus, Bostjan Likar and Miran Buermen . 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]
14. Peter Naglic, Matic Ivancic, Franjo Pernus, Bostjan Likar and Miran Buermen. 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]
15. Robert Korez, Bostjan Likar, Franjo Pernus and Tomaz 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]
 

 
Source: http://lit.fe.uni-lj.si   |   Date: 17 Jul 2018   |   Time: 3:37 pm