Glioma Segmentation with 3D U-Net Backed with Energy-Based Post-Processing. - Richard Zsamboki; Petra Takacs; Borbála Deák-Karancsi (BrainLes@MICCAI (2), 2020)

Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning. - László Ruskó; Marta E. Capala; Vanda Czipczer; Bernadett Kolozsvári; Borbála Deák-Karancsi; Renáta Czabány; Bence Gyalai; Tao Tan; Zoltán Végváry; Emoke Borzasi; Zsófia Együd; Renáta Kószó; et al. (BIOIMAGING, 2021)

Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders. - Levente Lippenszky; István Megyeri; Krisztian Koos; Zsófia Karancsi; Borbála Deák-Karancsi; András Frontó; Makk Árpád; Attila Rádics; Erhan Bas; László Ruskó (CoRR, 2025)