UMR CNRS 7253

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en:publi:appli_art [2023/02/27 06:01] tdenoeuxen:publi:appli_art [2023/03/17 05:30] tdenoeux
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 === Medical image processing === === Medical image processing ===
-  - Ling Huang, Su Ruan and Thierry Denoeux.Semi-Supervised Multiple Evidence Fusion for Brain Tumor Segmentation. Neurocomputing (accepted for publication), 2023. {{ :en:publi:neurocomputing2022_semi_v3.pdf |pdf}}+  - Ling Huang, Su Ruan and Thierry Denoeux. Semi-Supervised Multiple Evidence Fusion for Brain Tumor Segmentation. Neurocomputing Vol. 535, Pages 40-52, 2023. {{ :en:publi:neurocomputing2022_semi_v3.pdf |pdf}}
   - Ling Huang, Su Ruan and Thierry Denoeux. Application of belief functions to medical image segmentation: A review. Information Fusion, Vol. 91, Pages 737-756, 2023. {{ :en:publi:information_fusion_final_td.pdf |pdf}}   - Ling Huang, Su Ruan and Thierry Denoeux. Application of belief functions to medical image segmentation: A review. Information Fusion, Vol. 91, Pages 737-756, 2023. {{ :en:publi:information_fusion_final_td.pdf |pdf}}
   - Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen. PENet: Prior Evidence Deep Neural Network for Bladder Cancer Staging. Methods, vol. 207, pages 20–28, 2022. {{ :en:publi:pedcnn2.pdf |pdf}}   - Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen. PENet: Prior Evidence Deep Neural Network for Bladder Cancer Staging. Methods, vol. 207, pages 20–28, 2022. {{ :en:publi:pedcnn2.pdf |pdf}}

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