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Pregled prema Autor Vranes, Velicko

Prikaz rezultata 1 do 5 od 5
GodinaTitleAuthor(s)TypeМp-cat.
2020Analysis of Spatial Distribution and Prognostic Value of Different Pan Cytokeratin Immunostaining Intensities in Breast Tumor Tissue SectionsVranes, Velicko; Vujasinović, Tijana; Rajković, Nemanja  ; Kanjer, Ksenija  ; Milošević, Nebojša T.; Radulović, Marko  Article
21M21
2025Enhanced Prognostication of Early Breast Cancer Outcomes Using Deep Learning on Merged Multistain and Multicolor-Depth Tumor HistopathologyLin, Yifei; Li, Xingyu; Milovanović, Jelena  ; Todorović Raković, Nataša  ; Vranes, Velicko; Vujasinović, Tijana ; Kanjer, Ksenija  ; Radulovic, Marko  Article
21aM21a
2026Individualized Prediction of Meningioma Response to Gamma Knife Radiosurgery Using Nested Consensus Machine Learning with 3D Fractal, Lacunarity and Radiomic Features from MRISpeckter, Herwin; Radulovic, Marko; Gonzalez, Ivan; Hernandez, Giancarlo; Bido, Jose; Rivera, Diones; Suazo, Luis; Valenzuela, Santiago; Peralta, Ismael; Paulino, Jeffrey;
Bernard, Teuddis; Ramirez, Issael; Stoeter, Peter; Vranes, Velicko;
Article
21aM21a
2025Prediction of Pituitary Adenoma's Volumetric Response to Gamma Knife Radiosurgery Using Machine Learning-Supported MRI RadiomicsSpeckter, Herwin; Radulovic, Marko; Lazo, Erwin; Hernandez, Giancarlo; Bido, Jose; Rivera, Diones; Suazo, Luis; Valenzuela, Santiago; Stoeter, Peter; Vranes, VelickoArticle
21M21
2019The binary images of aspiny neurons from the human neostriatum: cluster classification using parameters of monofractal analysisMilošević, Nebojša T.  ; Stojić, Damjan A.  ; Vranes, VelickoConference Paper
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