| Enhancement of vascular structures in 3D and 2D angiographic images T Jerman, F Pernuš, B Likar, Ž Špiclin IEEE transactions on medical imaging 35 (9), 2107-2118, 2016 | 275 | 2016 |
| Beyond Frangi: an improved multiscale vesselness filter T Jerman, F Pernuš, B Likar, Ž Špiclin Medical imaging 2015: Image processing 9413, 623-633, 2015 | 111 | 2015 |
| Blob enhancement and visualization for improved intracranial aneurysm detection T Jerman, F Pernuš, B Likar, Ž Špiclin IEEE Transactions on Visualization and Computer Graphics 22 (6), 1705-1717, 2015 | 44 | 2015 |
| Combining unsupervised and supervised methods for lesion segmentation T Jerman, A Galimzianova, F Pernuš, B Likar, Ž Špiclin Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016 | 21 | 2016 |
| Computer-aided detection and quantification of intracranial aneurysms T Jerman, F Pernuš, B Likar, Ž Špiclin Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 21 | 2015 |
| Aneurysm detection in 3D cerebral angiograms based on intra-vascular distance mapping and convolutional neural networks T Jerman, F Pernus, B Likar, Ž Špiclin 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 16 | 2017 |
| ˇZiga Špiclin. Enhancement of vascular structures in 3d and 2d angiographic images T Jerman, F Pernuš, B Likar IEEE transactions on medical imaging 35 (9), 2107-2118, 2016 | 15 | 2016 |
| Dataset variability leverages white-matter lesion segmentation performance with convolutional neural network D Ravnik, T Jerman, F Pernuš, B Likar, Ž Špiclin Medical Imaging 2018: Image Processing 10574, 388-396, 2018 | 11 | 2018 |
| Medical Imaging 2015: Image Processing T Jerman, F Pernuš, B Likar, Ž Špiclin Volume, 2015 | 9 | 2015 |
| Automated cutting plane positioning for intracranial aneurysm quantification T Jerman, A Chien, F Pernuš, B Likar, Ž Špiclin IEEE Transactions on Biomedical Engineering 67 (2), 577-587, 2019 | 6 | 2019 |
| Comparison of two digital cameras based on spectral data estimation obtained with two methods D Javoršek, T Jerman, A Javoršek Acta Polytech. Hungarica 12, 183-197, 2015 | 5 | 2015 |
| Influence of rendering engines on color reproduction N Bratuž, T Jerman, H Gabrijelčič Tomc, D Javoršek Proceedings of 7th International Symposium in Graphic Engineering and Design …, 2014 | 5 | 2014 |
| Registration based detection and quantification of intracranial aneurysm growth Ž Bizjak, T Jerman, B Likar, F Pernuš, A Chien, Ž Špiclin Medical Imaging 2019: Computer-Aided Diagnosis 10950, 33-43, 2019 | 3 | 2019 |
| Automatic cutting plane identification for computer-aided analysis of intracranial aneurysms T Jerman, F Pernuš, B Likar, Ž Špiclin, A Chien 2016 23rd International Conference on Pattern Recognition (ICPR), 1484-1489, 2016 | 3 | 2016 |
| Assessing the performance of a spectral reflectance estimation method based on a diffraction grating and a spectroradiometer D Javoršek, T Jerman, B Rat, A Hladnik Coloration Technology 130 (4), 288-295, 2014 | 3 | 2014 |
| Prediction of RGB camera values by means of artificial neural networks M Lazar, A Hladnik, D Javoršek, T Jerman Scientific papers of the University of Pardubice. Series A, Faculty of …, 2013 | 1 | 2013 |
| Računalniško podprta zaznava in kvantifikacija intrakranialnih anevrizem T Jerman Univerza v Ljubljani, Fakulteta za elektrotehniko, 2017 | | 2017 |
| Computer-aided Detection and Quantification of Intracranial Aneurysms: PhD Thesis T Jerman T. Jerman, 2017 | | 2017 |
| Spektralna simulacija polja osvetljenosti T Jerman T. Jerman, 2013 | | 2013 |
Žiga ŠpiclinUniversity of Ljubljana在 fe.uni-lj.si 的电子邮件经过验证
Žiga ŠpiclinUniversity of Ljubljana在 fe.uni-lj.si 的电子邮件经过验证