Said Boumaraf

Orcid: 0000-0001-8154-7195

According to our database1, Said Boumaraf authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Occlusion-aware deep convolutional neural network via homogeneous Tanh-transforms for face parsing.
Image Vis. Comput., 2024

Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review.
CoRR, 2024

AI-Enhanced Gas Flares Remote Sensing and Visual Inspection: Trends and Challenges.
IEEE Access, 2024

2023
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection.
CoRR, 2023

Dynamic Multi-Domain Knowledge Networks for Chest X-ray Report Generation.
CoRR, 2023

Occlusion-Aware Deep Convolutional Neural Network via Homogeneous Tanh-transforms for Face Parsing.
CoRR, 2023

Vision-Based Analytics of Flare Stacks Using Deep Learning Detection.
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


  Loading...