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2020 – today
- 2022
[j2]John Valen, Indranil Balki, Mauro Mendez
, Wendi Qu, Jacob Levman, Alexander Bilbily, Pascal N. Tyrrell:
Quantifying uncertainty in machine learning classifiers for medical imaging. Int. J. Comput. Assist. Radiol. Surg. 17(4): 711-718 (2022)- 2021
- [c3]Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quirós, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello:
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. IWANN (1) 2021: 36-46 - [i1]Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quirós, David A. Elizondo, Miguel A. Molina-Cabello:
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. CoRR abs/2106.05843 (2021) - 2020
- [j1]Wendi Qu, Indranil Balki, Mauro Mendez, John Valen, Jacob Levman, Pascal N. Tyrrell:
Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging. Int. J. Comput. Assist. Radiol. Surg. 15(12): 2041-2048 (2020)
2010 – 2019
- 2019
- [c2]Mauro Mendez, Saúl Calderón Ramírez, Pascal N. Tyrrell:
Using Cluster Analysis to Assess the Impact of Dataset Heterogeneity on Deep Convolutional Network Accuracy: A First Glance. CARLA 2019: 307-319 - 2018
- [c1]Saúl Calderón Ramírez, Joel Barrantes, J. Schuster, Mauro Mendez, Jakub Begera:
Automatic Calibration of the Deceived Non Local Means Filter for Improving the Segmentation of Cells in Fluorescence Based Microscopy. ICBEA 2018: 1-6
Coauthor Index
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