A Convolutional Neural Network-based Mobile Application to Bedside Neonatal Pain Assessment. - Lucas Pereira Carlini; Leonardo Antunes Ferreira; Gabriel de Almeida Sá Coutrin; Victor V. Varoto; Tatiany M. Heiderich; Rita de Cássia Xavier Balda; Marina Carvalho de Moraes Barros; Ruth Guinsburg; Carlos E. Thomaz (SIBGRAPI, 2021)

Convolutional Neural Networks for Newborn Pain Assessment Using Face Images: A Quantitative and Qualitative Comparison. - Gabriel A. S. Coutrin; Lucas Pereira Carlini; Leonardo Antunes Ferreira; Tatiany M. Heiderich; Rita C. X. Balda; Marina C. M. Barros; Ruth Guinsburg; Carlos E. Thomaz (MICAD, 2022)

Revisiting N-CNN for Clinical Practice. - Leonardo Antunes Ferreira; Lucas Pereira Carlini; Gabriel de Almeida Sá Coutrin; Tatiany Marcondes Heiderich; Marina Carvalho de Moraes Barros; Ruth Guinsburg; Carlos Eduardo Thomaz (PRIME@MICCAI, 2023)

Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks. - Lucas Pereira Carlini; Gabriel de Almeida Sá Coutrin; Leonardo Antunes Ferreira; Juliana do Carmo Azevedo Soares; Giselle V. T. Silva; Tatiany Marcondes Heiderich; Rita C. X. Balda; Marina Carvalho de Moraes Barros; Ruth Guinsburg; Carlos Eduardo Thomaz (Artif. Intell. Medicine, 2024)

Disclosing neonatal pain in real-time: AI-derived pain sign from continuous assessment of facial expressions. - Leonardo Antunes Ferreira; Lucas Pereira Carlini; Gabriel de Almeida Sá Coutrin; Tatiany Marcondes Heiderich; Rita de Cássia Xavier Balda; Marina Carvalho de Moraes Barros; Ruth Guinsburg; Carlos Eduardo Thomaz (Comput. Biol. Medicine, 2025)