ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection. - Daniel Vitor Ruiz; Bruno A. Krinski; Eduardo Todt (ICAR, 2019)

Masking Salient Object Detection, a Mask Region-Based Convolutional Neural Network Analysis for Segmentation of Salient Objects. - Bruno Alexandre Krinski; Daniel Vitor Ruiz; Guilherme Zasyeki Machado; Eduardo Todt (LARS/SBR/WRE, 2019)

IDA: Improved Data Augmentation Applied to Salient Object Detection. - Daniel Vitor Ruiz; Bruno A. Krinski; Eduardo Todt (SIBGRAPI, 2020)

Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic Segmentation. - Bruno A. Krinski; Daniel Vitor Ruiz; Eduardo Todt (LARS/SBR/WRE, 2021)

Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation. - Bruno A. Krinski; Daniel Vitor Ruiz; Eduardo Todt (CoRR, 2022)

DACov: a deeper analysis of data augmentation on the computed tomography segmentation problem. - Bruno A. Krinski; Daniel Vitor Ruiz; Rayson Laroca; Eduardo Todt (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)