A Novel Approach on Segmentation of AgNOR-Stained Cytology Images Using Deep Learning. - João Gustavo Atkinson Amorim; Luiz Antonio Buschetto Macarini; André Victória Matias; Allan Cerentini; Fabiana Botelho de Miranda Onofre; Alexandre Sherlley Casimiro Onofre; Aldo von Wangenheim (CBMS, 2020)

Towards a Complete Pipeline for Segmenting Nuclei in Feulgen-Stained Images. - Luiz Antonio Buschetto Macarini; Aldo von Wangenheim; Felipe Perozzo Daltoé; Alexandre Sherlley Casimiro Onofre; Fabiana Botelho de Miranda Onofre; Marcelo Ricardo Stemmer (CoRR, 2020)

What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review. - André Victória Matias; João Gustavo Atkinson Amorim; Luiz Antonio Buschetto Macarini; Allan Cerentini; Alexandre Sherlley Casimiro Onofre; Fabiana Botelho de Miranda Onofre; Felipe Perozzo Daltoé; Marcelo Ricardo Stemmer; Aldo von Wangenheim (Comput. Medical Imaging Graph., 2021)

Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation. - João Gustavo Atkinson Amorim; André Victória Matias; Allan Cerentini; Luiz Antonio Buschetto Macarini; Alexandre Sherlley Casimiro Onofre; Fabiana Botelho de Miranda Onofre; Aldo von Wangenheim (CoRR, 2022)

Towards Universal Cytopathology Segmentation: Transformer and Cnn Models Across Stains. - Luís Otávio Santos; Rodrigo P. S. Ribeiro; Aldo von Wangenheim; Alexandre Sherlley Casimiro Onofre; Fabiana Botelho de Miranda Onofre; Bibiana Q. Tiellet; Beatriz Silva Lopes; Douglas J. D. Macedo (CBMS, 2025)