1. Assessing accuracy and consistency in intracranial aneurysm sizingAndrej Planinc, Nina Špegel, Zala Podobnik, Uroš Šinigoj, Petra Skubic, June Ho Choi, Wonhyoung Park, Tina Robič, Nika Tabor, Leon Jarabek, Žiga Špiclin, Žiga Bizjak, 2024, original scientific article Keywords: intrarater variability, interrater variability, deep learning, intracranial aneurysms Full text (file, 1,91 MB) This document has more files! More... |
2. Samodejna razgradnja kritičnih organov v medicinskih slikah za načrtovanje radioterapijeUrban Jeraj, 2021, master's thesis Keywords: Rak, radioterapija, anatomske strukture, kakovost razgradenj, CT, strojno učenje, globoke nevronske mreže. Full text (file, 2,70 MB) |
3. 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... |
4. BASE: Brain Age Standardized EvaluationLara Dular, Žiga Špiclin, 2024, original scientific article Keywords: brain age, evaluation, deep regression, accuracy, robustness, reproducibility, consistency, UK biobank Full text (file, 2,24 MB) This document has more files! More... |
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, 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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7. Analysis of brain age gap across subject cohorts and prediction model architecturesLara Dular, Žiga Špiclin, 2024, original scientific article Keywords: magnetnoresonančno slikanje, napovedovanje možganske starosti, globoki regresijski modeli, analiza starostnega primanjkljaja, primerjalna študija, kvantitativno vrednotenje Full text (file, 1,01 MB) This document has more files! More... |
8. Grafični vmesnik za računalniško-podprto analizo angiografskih slik z modeli globokega učenjaERAZEM KOS, 2022, master's thesis/paper Keywords: razgradnja intrakranialnega ožilja, avtomatsko zaznavanje anevrizem, globoko učenje, ročna referenčna razgradnja, objektivno vrednotenje, grafični vmesnik za prikaz 2D in 3D slik, 3D upodabljanje, analiza morfologije Full text (file, 9,54 MB) |
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