Said Boumaraf
Orcid: 0000-0001-8154-7195
According to our database1,
Said Boumaraf
authored at least 14 papers
between 2019 and 2024.
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Bibliography
2024
Occlusion-aware deep convolutional neural network via homogeneous Tanh-transforms for face parsing.
Image Vis. Comput., 2024
CoRR, 2024
IEEE Access, 2024
2023
CoRR, 2023
CoRR, 2023
Occlusion-Aware Deep Convolutional Neural Network via Homogeneous Tanh-transforms for Face Parsing.
CoRR, 2023
Proceedings of the 21st International Conference on Advanced Robotics, 2023
2021
A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images.
Biomed. Signal Process. Control., 2021
U-SDRC: a novel deep learning-based method for lesion enhancement in liver CT images.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
2020
A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms.
CoRR, 2020
Deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
A New Three-stage Curriculum Learning Approach for Deep Network Based Liver Tumor Segmentation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation.
CoRR, 2019
A New Feature Selection Method based on Monarch Butterfly Optimization and Fisher Criterion.
Proceedings of the International Joint Conference on Neural Networks, 2019