Diplomski studij računarstva [2018.] - Fakultet elektrotehnike i računarstva, Sveučilište u Zagrebu

Izvorni znanstveni rad

• Kopriva, Ivica; Sitnik, Dario; Dion-Bertrand, Laura-Isabelle; Milković Periša, Marija; Pačić, Arijana; Hadžija, Mirko; Hadžija, Marijana Popović | A hyperspectral imaging dataset and Grassmann manifold method for intraoperative pixel-wise classification of metastatic colon cancer in the liver // Computers in biology and medicine, 196 (2025), Part B; 110841, 14. doi: 10.1016/j.compbiomed.2025.110841

  doiwww.sciencedirect.comfulir.irb.hr

• Sitnik, Dario; Aralica, Gorana; Hadžija, Mirko; Popović Hadžija, Marijana; Pačić, Arijana; Milković Periša, Marija; Manojlović, Luka; Krstanaca, Karolina; Plavetić, Andrija; Kopriva, Ivica | A dataset and a methodology for intraoperative computer-aided diagnosis of a metastatic colon cancer in a liver // Biomedical Signal Processing and Control, 66 (2021), 102402, 11. doi: 10.1016/j.bspc.2020.102402

  doiwww.sciencedirect.comfulir.irb.hr

Izvorni znanstveni rad

• Kopriva, Ivica ; Sitnik, Dario ; Aralica, Gorana ; Paćić, Arijana ; Popović Hadžija, Marijana ; Hadžija, Mirko ; | Approximate explicit feature map for computational augmentation of RGB images of hematoxylin and eosin stained histopathological specimens // Medical Imaging 2021: Digital Pathology, vol. 11603. | Belingham: SPIE, 2021, 1160301, 16. doi: 10.1117/12.2579408

  doi

• Sitnik, Dario ; Kopriva, Ivica ; Aralica, Gorana ; Pačić, Arijana ; Popović Hadžija, Marijana ; Hadžija, Mirko | Transfer Learning Approach for Intraoperative Pixel-based Diagnosis of Colon Cancer Metastasis in a Liver from Hematohylin-Eosin Stained Specimens // Proceedings Volume 11320, Medical Imaging 2020: Digital Pathology ; 1132009 (2020). | Bellingham (WA): SPIE, 2020, 113200A, 12. doi: 10.1117/12.2538303

  doidoi.org

• Sitnik, Dario ; Aralica, Gorana ; Pačić, Arijana ; Popović Hadžija, Marijana ; Hadžija, Mirko ; Kopriva, Ivica | Deep learning approaches for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from phase-contrast images of unstained specimens // Digital Pathology Conference - SPIE Medical Imaging Symposium 2020. | Bellingham (WA): SPIE, 2020, 1132009, 11. doi: 10.1117/12.2542799

  doidoi.org

Doktorski rad

• Sitnik, Dario | Deep learning methods for segmentation of images of frozen tissue sections / Kopriva, Ivica (mentor). | Zagreb, Fakultet elektrotehnike i računarstva, 2022

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