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2. 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
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3. 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
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4. 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
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5. 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
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7. 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
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