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@article{DBLP:journals/vciba/CaiLCHZZ24,
  author       = {Shangyu Cai and
                  Yongsheng Lin and
                  Haoxin Chen and
                  Zihao Huang and
                  Yongjin Zhou and
                  Yongping Zheng},
  title        = {Automated analysis of pectoralis major thickness in pec-fly exercises:
                  evolving from manual measurement to deep learning techniques},
  journal      = {Vis. Comput. Ind. Biomed. Art},
  volume       = {7},
  number       = {1},
  pages        = {8},
  year         = {2024},
  url          = {https://doi.org/10.1186/s42492-024-00159-6},
  doi          = {10.1186/S42492-024-00159-6},
  timestamp    = {Sat, 04 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/vciba/CaiLCHZZ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/vciba/FuFLQYTDZ24,
  author       = {Jia Fu and
                  Mengjie Fang and
                  Zhiyong Lin and
                  Jianxing Qiu and
                  Min Yang and
                  Jie Tian and
                  Di Dong and
                  Yinghua Zou},
  title        = {CT-based radiomics: predicting early outcomes after percutaneous transluminal
                  renal angioplasty in patients with severe atherosclerotic renal artery
                  stenosis},
  journal      = {Vis. Comput. Ind. Biomed. Art},
  volume       = {7},
  number       = {1},
  pages        = {1},
  year         = {2024},
  url          = {https://doi.org/10.1186/s42492-023-00152-5},
  doi          = {10.1186/S42492-023-00152-5},
  timestamp    = {Mon, 22 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/vciba/FuFLQYTDZ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/vciba/GaoFWG24,
  author       = {Yun Gao and
                  Junhu Fu and
                  Yuanyuan Wang and
                  Yi Guo},
  title        = {Typicality- and instance-dependent label noise-combating: a novel
                  framework for simulating and combating real-world noisy labels for
                  endoscopic polyp classification},
  journal      = {Vis. Comput. Ind. Biomed. Art},
  volume       = {7},
  number       = {1},
  pages        = {10},
  year         = {2024},
  url          = {https://doi.org/10.1186/s42492-024-00162-x},
  doi          = {10.1186/S42492-024-00162-X},
  timestamp    = {Wed, 15 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/vciba/GaoFWG24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/vciba/LiangNYW24,
  author       = {Yuxuan Liang and
                  Chuang Niu and
                  Pingkun Yan and
                  Ge Wang},
  title        = {Flipover outperforms dropout in deep learning},
  journal      = {Vis. Comput. Ind. Biomed. Art},
  volume       = {7},
  number       = {1},
  pages        = {4},
  year         = {2024},
  url          = {https://doi.org/10.1186/s42492-024-00153-y},
  doi          = {10.1186/S42492-024-00153-Y},
  timestamp    = {Tue, 05 Mar 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/vciba/LiangNYW24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/vciba/ParvinNK24,
  author       = {Sazia Parvin and
                  Sonia Farhana Nimmy and
                  Md Sarwar Kamal},
  title        = {Convolutional neural network based data interpretable framework for
                  Alzheimer's treatment planning},
  journal      = {Vis. Comput. Ind. Biomed. Art},
  volume       = {7},
  number       = {1},
  pages        = {3},
  year         = {2024},
  url          = {https://doi.org/10.1186/s42492-024-00154-x},
  doi          = {10.1186/S42492-024-00154-X},
  timestamp    = {Tue, 13 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/vciba/ParvinNK24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/vciba/TagnamasRYT24,
  author       = {Jaouad Tagnamas and
                  Hiba Ramadan and
                  Ali Yahyaouy and
                  Hamid Tairi},
  title        = {Multi-task approach based on combined CNN-transformer for efficient
                  segmentation and classification of breast tumors in ultrasound images},
  journal      = {Vis. Comput. Ind. Biomed. Art},
  volume       = {7},
  number       = {1},
  pages        = {2},
  year         = {2024},
  url          = {https://doi.org/10.1186/s42492-024-00155-w},
  doi          = {10.1186/S42492-024-00155-W},
  timestamp    = {Tue, 07 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/vciba/TagnamasRYT24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/vciba/TagnamasRYT24a,
  author       = {Jaouad Tagnamas and
                  Hiba Ramadan and
                  Ali Yahyaouy and
                  Hamid Tairi},
  title        = {Correction: Multi-task approach based on combined CNN-transformer
                  for efficient segmentation and classification of breast tumors in
                  ultrasound images},
  journal      = {Vis. Comput. Ind. Biomed. Art},
  volume       = {7},
  number       = {1},
  pages        = {5},
  year         = {2024},
  url          = {https://doi.org/10.1186/s42492-024-00156-9},
  doi          = {10.1186/S42492-024-00156-9},
  timestamp    = {Tue, 05 Mar 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/vciba/TagnamasRYT24a.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/vciba/WangZTCDLWS24,
  author       = {Linyuan Wang and
                  Xiaofeng Zhang and
                  Congyu Tian and
                  Shu Chen and
                  Yongzhi Deng and
                  Xiangyun Liao and
                  Qiong Wang and
                  Weixin Si},
  title        = {PlaqueNet: deep learning enabled coronary artery plaque segmentation
                  from coronary computed tomography angiography},
  journal      = {Vis. Comput. Ind. Biomed. Art},
  volume       = {7},
  number       = {1},
  pages        = {6},
  year         = {2024},
  url          = {https://doi.org/10.1186/s42492-024-00157-8},
  doi          = {10.1186/S42492-024-00157-8},
  timestamp    = {Thu, 11 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/vciba/WangZTCDLWS24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/vciba/XuWHZ24,
  author       = {Zhenxing Xu and
                  Aizeng Wang and
                  Fei Hou and
                  Gang Zhao},
  title        = {Three-dimensional reconstruction of industrial parts from a single
                  image},
  journal      = {Vis. Comput. Ind. Biomed. Art},
  volume       = {7},
  number       = {1},
  pages        = {7},
  year         = {2024},
  url          = {https://doi.org/10.1186/s42492-024-00158-7},
  doi          = {10.1186/S42492-024-00158-7},
  timestamp    = {Thu, 11 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/vciba/XuWHZ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/vciba/ZhangFPYZW24,
  author       = {Yue Zhang and
                  Wanshu Fan and
                  Peixi Peng and
                  Xin Yang and
                  Dongsheng Zhou and
                  Xiaopeng Wei},
  title        = {Dual modality prompt learning for visual question-grounded answering
                  in robotic surgery},
  journal      = {Vis. Comput. Ind. Biomed. Art},
  volume       = {7},
  number       = {1},
  pages        = {9},
  year         = {2024},
  url          = {https://doi.org/10.1186/s42492-024-00160-z},
  doi          = {10.1186/S42492-024-00160-Z},
  timestamp    = {Sat, 04 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/vciba/ZhangFPYZW24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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