Computer Vision Based Systems for Human Pupillary Behavior Evaluation: A Systematic Review of the Literature. - Cleyton Rafael Gomes Silva; Cristhiane Gonçalves; Joyce Siqueira; Fabrízzio Alphonsus A. M. N. Soares; Rodrigo Albernaz Bezerra; Hedenir Monteiro Pinheiro; Ronaldo Martins da Costa; Eduardo Nery Rossi Camilo; Augusto Paranhos Junior (COMPSAC (1), 2019)

Evaluating machine learning techniques for enhanced glaucoma screening through Pupillary Light Reflex analysis. - Hedenir Monteiro Pinheiro; Eduardo Nery Rossi Camilo; Augusto Paranhos Junior; Afonso Ueslei Da Fonseca; Gustavo Teodoro Laureano; Ronaldo Martins da Costa (Array, 2024)

A pupillary image dataset: 10,000 annotated and 258,790 non-annotated images of patients with glaucoma, diabetes, and subjects influenced by alcohol, coupled with a segmentation performance evaluation. - Eduardo Nery Rossi Camilo; Augusto Paranhos Junior; Hedenir Monteiro Pinheiro; Ronaldo Martins da Costa (Comput. Biol. Medicine, 2025)