Towards feature selection for digital mammogram classification. - Adél Bajcsi; Anca Andreica; Camelia Chira (KES, 2021)

An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection. - Cristiana Moroz-Dubenco; Adél Bajcsi; Anca Andreica; Camelia Chira (KES, 2022)

Textural and Shape Features for Lesion Classification in Mammogram Analysis. - Adél Bajcsi; Camelia Chira (HAIS, 2023)

Significance of Training Images and Feature Extraction in Lesion Classification. - Adél Bajcsi; Anca Andreica; Camelia Chira (ICAART (3), 2024)

fMRI Analysis for Alzheimer's Disease Detection: Traditional vs. Deep Learning Models. - Adél Bajcsi; Camelia Chira (AIME (1), 2025)

Evaluating ResNet-Based Self-Explanatory Models for Breast Lesion Classification. - Adél Bajcsi; Camelia Chira; Annamária Szenkovits (ICAART (3), 2025)

Towards an interpretable breast cancer detection and diagnosis system. - Cristiana Moroz-Dubenco; Adél Bajcsi; Anca Andreica; Camelia Chira (Comput. Biol. Medicine, 2025)