Petrographic microfacies classification with deep convolutional neural networks. - Rafael Pires de Lima; David Duarte; Charles D. Nicholson; Roger Slatt; Kurt J. Marfurt (Comput. Geosci., 2020)

Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer Learning Analysis. - Rafael Pires de Lima; Kurt J. Marfurt (Remote. Sens., 2020)

Deep Learning on SAR Imagery: Transfer Learning Versus Randomly Initialized Weights. - Morteza Karimzadeh; Rafael Pires de Lima (IGARSS, 2023)

Comparison of Cross-Entropy, Dice, and Focal Loss for Sea Ice Type Segmentation. - Rafael Pires de Lima; Behzad Vahedi; Morteza Karimzadeh (IGARSS, 2023)

Increasing the Spatial Coverage of Atmospheric Aerosol Depth Measurements using Random Forest and Mean Filters. - Zhongying Wang; Rafael Pires de Lima; James L. Crooks; Elizabeth Anne Regan; Morteza Karimzadeh (IGARSS, 2023)

Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions. - Rafael Pires de Lima; Behzad Vahedi; Nick Hughes; Andrew P. Barrett; Walter N. Meier; Morteza Karimzadeh (CoRR, 2023)

Model Ensemble With Dropout for Uncertainty Estimation in Sea Ice Segmentation Using Sentinel-1 SAR. - Rafael Pires de Lima; Morteza Karimzadeh (IEEE Trans. Geosci. Remote. Sens., 2023)

Investigating the Effect of Spatial Context on Multi-Task Sea Ice Segmentation. - Behzad Vahedi; Rafael Pires de Lima; Sepideh Jalayer; Walter N. Meier; Andrew P. Barrett; Morteza Karimzadeh (CoRR, 2025)