Publications

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Journal Articles


Autoencoders to detect manifestation shift in medical images

Published in Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS) 2025, 2025

This study introduces a novel approach proposing self-awareness in detecting manifestation shifts within medical images, designing the challenge as a classification of lesion subtypes. The proposed method achieved competitive performance compared with recent literature utilizing reconstruction thresholds based on histogram analysis.

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Convolutional neural network misclassification analysis in oral lesions: an error evaluation criterion by image characteristics

Published in Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology, 2023

This retrospective study analyzed the errors generated by a convolutional neural network (CNN) when performing automated classification of oral lesions according to their clinical characteristics, seeking to identify patterns in systemic errors in the intermediate layers of the CNN.

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Conference Papers