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143. Reflectance calibration of multimode optical fiber probes by probe-to-target distance reflectance profile modelingPeter Naglič, Franjo Pernuš, Miran Bürmen, 2022, original scientific article Keywords: optical fiber probes, reflectance calibration, reflectance modeling, Monte Carlo simulations, optical properties Full text (file, 1,48 MB) This document has more files! More... |
144. Fast and accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance for a realistic optical fiber probe tip model aided by a deep neural networkYevhen Zelinskyi, Peter Naglič, Franjo Pernuš, Boštjan Likar, Miran Bürmen, 2020, original scientific article Keywords: light propagation model, Monte Carlo simulations, absorption, subdiffusive spatially resolved reflectance, optical fiber probe, deep neural networks, deep learning Full text (file, 3,68 MB) This document has more files! More... |
145. Deep shape features for predicting future intracranial aneurysm growthŽiga Bizjak, Franjo Pernuš, Žiga Špiclin, 2021, original scientific article Keywords: intracranial aneurysm, growth prediction, vascular disease, deep learning, classification, morphological features Full text (file, 1,23 MB) This document has more files! More... |
146. Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, 2024, original scientific article Keywords: magnetic resonance imaging, brain age prediction, image preprocessing, deep model regression, comparative study, quantitative evaluation, brain age, MRI preprocessing, deep regression models, linear mixed effect models, dataset bias, transfer learning, reproducible research, UK Biobank Full text (file, 4,29 MB) This document has more files! More... |
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148. Računalniško podprta zaznava in kvantifikacija intrakranialnih anevrizemTIM JERMAN, 2017, doctoral dissertation Keywords: medicinske slike, tridimenzionalne slike, angiografija, analiza medicinskih slik, ožilje, anevrizma, računalniško podprta detekcija, računalniško podprta kvantifikacija, morfologija, ruptura Full text (file, 23,87 MB) |
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