Said Boumaraf

According to our database, Said Boumaraf authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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

Weihua Liu, Lin Li, Chaochao Lin, Said Boumaraf

CoRR, 2023

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

Weihua Liu, Youyuan Xue, Chaochao Lin, Said Boumaraf

CoRR, 2023

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

Weihua Liu, Chaochao Lin, Haoping Yu, Said Boumaraf, Zhaoqiong Pi

CoRR, 2023

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

Muaz Al Radi, Said Boumaraf, Hamad Karki, Jorge Dias, Naoufel Werghi, Sajid Javed

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.

Said Boumaraf, Xiabi Liu, Zhongshu Zheng, Xiaohong Ma, Chokri Ferkous

Biomed. Signal Process. Control., 2021

U-SDRC: a novel deep learning-based method for lesion enhancement in liver CT images.

Zhongshu Zheng, Ling Ma, Songxiao Yang, Said Boumaraf, Xiabi Liu, Xiaohong Ma

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.

Said Boumaraf, Xiabi Liu, Chokri Ferkous, Xiaohong Ma

CoRR, 2020

Deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced Medical Image Segmentation.

Huiyu Li, Xiabi Liu, Said Boumaraf, Xiaopeng Gong, Donghai Liao, Xiaohong Ma

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.

Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma

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.

Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma

CoRR, 2019

A New Feature Selection Method based on Monarch Butterfly Optimization and Fisher Criterion.

Xiaodong Qi, Xiabi Liu, Said Boumaraf

Proceedings of the International Joint Conference on Neural Networks, 2019