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Visual Computing for Industry, Biomedicine, and Art, Volume 7
Volume 7, Number 1, December 2024
- Jia Fu, Mengjie Fang, Zhiyong Lin, Jianxing Qiu, Min Yang, Jie Tian, Di Dong, Yinghua Zou:
CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis. 1 - Jaouad Tagnamas, Hiba Ramadan, Ali Yahyaouy, Hamid Tairi:
Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images. 2 - Sazia Parvin, Sonia Farhana Nimmy, Md Sarwar Kamal:
Convolutional neural network based data interpretable framework for Alzheimer's treatment planning. 3 - Yuxuan Liang, Chuang Niu, Pingkun Yan, Ge Wang:
Flipover outperforms dropout in deep learning. 4 - Jaouad Tagnamas, Hiba Ramadan, Ali Yahyaouy, Hamid Tairi:
Correction: Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images. 5 - Linyuan Wang, Xiaofeng Zhang, Congyu Tian, Shu Chen, Yongzhi Deng, Xiangyun Liao, Qiong Wang, Weixin Si:
PlaqueNet: deep learning enabled coronary artery plaque segmentation from coronary computed tomography angiography. 6 - Zhenxing Xu, Aizeng Wang, Fei Hou, Gang Zhao:
Three-dimensional reconstruction of industrial parts from a single image. 7 - Shangyu Cai, Yongsheng Lin, Haoxin Chen, Zihao Huang, Yongjin Zhou, Yongping Zheng:
Automated analysis of pectoralis major thickness in pec-fly exercises: evolving from manual measurement to deep learning techniques. 8 - Yue Zhang, Wanshu Fan, Peixi Peng, Xin Yang, Dongsheng Zhou, Xiaopeng Wei:
Dual modality prompt learning for visual question-grounded answering in robotic surgery. 9 - Yun Gao, Junhu Fu, Yuanyuan Wang, Yi Guo:
Typicality- and instance-dependent label noise-combating: a novel framework for simulating and combating real-world noisy labels for endoscopic polyp classification. 10
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