Said Boumaraf - researchr alias

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Viewing Publication 1 - 6 from 6

2023

Vision-Based Analytics of Flare Stacks Using Deep Learning DetectionMuaz Al Radi, Said Boumaraf, Hamad Karki, Jorge Dias 0001, Naoufel Werghi, Sajid Javed. icar 2023: 467-472 [doi]

2021

A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological imagesSaid Boumaraf, Xiabi Liu, Zhongshu Zheng, Xiaohong Ma, Chokri Ferkous. bspc, 63:102192, 2021. [doi]

U-SDRC: a novel deep learning-based method for lesion enhancement in liver CT imagesZhongshu Zheng, Ling Ma, Songxiao Yang, Said Boumaraf, Xiabi Liu, Xiaohong Ma. miip 2021: [doi]

2020

Deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced Medical Image SegmentationHuiyu Li, Xiabi Liu, Said Boumaraf, Xiaopeng Gong, Donghai Liao, Xiaohong Ma. miccai 2020: 231-240 [doi]

A New Three-stage Curriculum Learning Approach for Deep Network Based Liver Tumor SegmentationHuiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma. ijcnn 2020: 1-6 [doi]

2019

A New Feature Selection Method based on Monarch Butterfly Optimization and Fisher CriterionXiaodong Qi, Xiabi Liu, Said Boumaraf. ijcnn 2019: 1-6 [doi]

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