Automatic Calibration of the Deceived Non Local Means Filter for Improving the Segmentation of Cells in Fluorescence Based Microscopy. - Saúl Calderón Ramírez; Joel Barrantes; J. Schuster; Mauro Mendez; Jakub Begera (ICBEA, 2018)

Using Cluster Analysis to Assess the Impact of Dataset Heterogeneity on Deep Convolutional Network Accuracy: A First Glance. - Mauro Mendez; Saúl Calderón Ramírez; Pascal N. Tyrrell (CARLA, 2019)

Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging. - Wendi Qu; Indranil Balki; Mauro Mendez; John Valen; Jacob Levman; Pascal N. Tyrrell (Int. J. Comput. Assist. Radiol. Surg., 2020)

Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. - Willard Zamora-Cárdenas; Mauro Mendez; Saúl Calderón Ramírez; Martin Vargas; Gerardo Monge; Steve Quirós; David A. Elizondo; Jordina Torrents-Barrena; Miguel A. Molina-Cabello (IWANN (1), 2021)

Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. - Willard Zamora-Cárdenas; Mauro Mendez; Saúl Calderón Ramírez; Martin Vargas; Gerardo Monge; Steve Quirós; David A. Elizondo; Miguel A. Molina-Cabello (CoRR, 2021)

Quantifying uncertainty in machine learning classifiers for medical imaging. - John Valen; Indranil Balki; Mauro Mendez; Wendi Qu; Jacob Levman; Alexander Bilbily; Pascal N. Tyrrell (Int. J. Comput. Assist. Radiol. Surg., 2022)