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Structure: Internal structure identifier : 333404

BKC-Net: Bi-Knowledge Contrastive Learning for renal tumor diagnosis on 3D CT images

J. Kong , Y. He , X Zhu , P. Shao , Y. Xu et al.
Knowledge-Based Systems, 2022, 252, pp.109369. ⟨10.1016/j.knosys.2022.109369⟩
Journal articles hal-03779269v1
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O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation

Z. Jiang , Y. He , S. Ye , P. Shao , X. Zhu et al.
Knowledge-Based Systems, 2023, 265, pp.110378. ⟨10.1016/j.knosys.2023.110378⟩
Journal articles hal-04064224v1
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A Multi-Task Convolutional Neural Network for Renal Tumor Segmentation and Classification Using Multi-Phasic CT Images

Tan Pan , Guanyu Yang , Chuanxia Wang , Ziwei Lu , Zhongwen Zhou et al.
2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.809-813, ⟨10.1109/ICIP.2019.8802924⟩
Conference papers hal-02281573v1
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Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module

Guanyu Yang , Guoqing Li , Tan Pan , Youyong Kong , Jiasong Wu et al.
24th International Conference on Pattern Recognition, ICPR 2018, Aug 2018, Beijing, China. pp.3790-3795, ⟨10.1109/ICPR.2018.8545143⟩
Conference papers hal-02036719v1

Improving Low-dose Cardiac CT Images based on 3D Sparse Representation

Luyao Shi , Yining Hu , Yang Chen , Xindao Yin , Huazhong Shu et al.
Scientific Reports, 2016, 6 (1), pp.22804. ⟨10.1038/srep22804⟩
Journal articles hal-01301540v1
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CT Metal Artifact Reduction Method Based on Improved Image Segmentation and Sinogram In-Painting

Yang Chen , Yinsheng Li , Hong Guo , Yining Hu , Limin Luo et al.
Mathematical Problems in Engineering, 2012, Volume 2012 (2012) (Article ID 786281), 18 p. ⟨10.1155/2012/786281⟩
Journal articles inserm-00770481v1
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CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images

Wang Song , He Yiting , Kong Youyong , Zhu Xiaomei , Zhang Shaobo et al.
MICCAI 2021, Sep 2021, Strasbourg, France. pp.592-602, ⟨10.1007/978-3-030-87196-3_55⟩
Conference papers hal-03354577v1
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DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy

Yuting He , Guanyu Yang , Yang Chen , Youyong Kong , Jiasong Wu et al.
MICCAI 2019, Oct 2019, Shenzhen, China. pp.139-147, ⟨10.1007/978-3-030-32226-7_16⟩
Conference papers hal-02363278v1
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BiSC-UNet: A fine segmentation framework for kidney and renal tumor

Chuanxia Wang , Yuting He , Xiaoming Qi , Ziteng Zhao , Guanyu Yang et al.
2019 Kidney Tumor Segmentation Challenge: KiTS19, Miccai 2019, Oct 2019, Shenzen, China. ⟨10.24926/548719.013⟩
Conference papers hal-02358682v1
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ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network.

Zhan Wu , Rongjun Ge , Minli Wen , Gaoshuang Liu , Yang Chen et al.
Medical Image Analysis, 2021, 67, pp.101838. ⟨10.1016/⟩
Journal articles hal-02998748v1
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CMF-Net: craniomaxillofacial landmark localization on CBCT images using geometric constraint and transformer

Gang Lu , Huazhong Shu , Han Bao , Youyong Kong , Chen Zhang et al.
Physics in Medicine and Biology, 2023, ⟨10.1088/1361-6560/acb483⟩
Journal articles hal-03980294v1
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Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images

Guanyu Yang , Chuanxia Wang , Jian Yang , Yang Chen , Lijun Tang et al.
BMC Medical Imaging, 2020, 20 (37), ⟨10.1186/s12880-020-00435-w⟩
Journal articles hal-02546702v1
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CCE-Net: A rib fracture diagnosis network based on contralateral, contextual, and edge enhanced modules

Y. Gao , H. Liu , L. Jiang , C. Yang , X. Yin et al.
Biomedical Signal Processing and Control, 2022, 75, pp.103620. ⟨10.1016/j.bspc.2022.103620⟩
Journal articles hal-03634166v1
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Automatic classification of esophageal lesions in endoscopic images using a convolutional neural network

Gaoshuang Liu , Jie Hua , Zhan Wu , Tianfang Meng , Mengxue Sun et al.
Annals of translational medicine, 2020, 8 (7), ⟨10.21037/atm.2020.03.24⟩
Journal articles hal-02735846v1
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Unconventional immune-related phenomena observed using 18F-FDG PET/CT in Hodgkin lymphoma treated with anti PD-1 monoclonal antibodies

Laurent Dercle , Fatima-Zohra Mokrane , Jean Marc Schiano de Colella , Apasia Stamatoullas , Franck Morschhauser et al.
European Journal of Nuclear Medicine and Molecular Imaging, 2019, 46 (6), pp.1391-1392. ⟨10.1007/s00259-019-04310-x⟩
Journal articles hal-02119287v1
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Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network

Tianling Lyu , Wei Zhao , Yinsu Zhu , Zhan Wu , Yikun Zhang et al.
Medical Image Analysis, 2021, 70, pp.102001. ⟨10.1016/⟩
Journal articles hal-03190848v1
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Meta Grayscale Adaptive Network for 3D Integrated Renal Structures Segmentation

Yuting He , Guanyu Yang , Jian Yang , Rongjun Ge , Youyong Kong et al.
Medical Image Analysis, 2021, 71, pp.102055. ⟨10.1016/⟩
Journal articles hal-03195538v1
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Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation

Yuting He , Guanyu Yang , Jian Yang , Yang Chen , Youyong Kong et al.
Medical Image Analysis, 2020, 63, pp.101722. ⟨10.1016/⟩
Journal articles hal-02614243v1
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Unsupervised Three-Dimensional Image Registration Using a Cycle Convolutional Neural Network

Ziwei Lu , Guanyu Yang , Tiancong Hua , Liyu Hu , Youyong Kong et al.
2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.2174-2178, ⟨10.1109/ICIP.2019.8803163⟩
Conference papers hal-02281541v1

Ordered subsets Non-Local means constrained reconstruction for sparse view cone beam CT system

Yining Hu , Zheng Wang , Lizhe Xie , Limin Luo
Australasian Physical and Engineering Sciences in Medicine, 2019, 42 (4), pp.1117-1128. ⟨10.1007/s13246-019-00811-z⟩
Journal articles hal-02364097v1

Low-dose lung CT processing using weighted intensity averaging over large-scale neighborhoods

Yining Hu , Lizhe Xie , Jinyu Meng , Jian Yang , Libo Zhang et al.
Australasian Physical and Engineering Sciences in Medicine, 2015, 38 (2), pp.345--356. ⟨10.1007/s13246-015-0347-4⟩
Journal articles hal-01300042v1
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Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence

Han Bao , Kejia Zhang , Chenhao Yu , Hu Li , Dan Cao et al.
BMC Oral Health, 2023, 23 (1), pp.191. ⟨10.1186/s12903-023-02881-8⟩
Journal articles hal-04090307v1
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An exact line search scheme to accelerate the EM algorithm Application to Gaussian mixture models identification

Wentao Xiang , Ahmad Karfoul , Chunfeng Yang , Huazhong Shu , Régine Le Bouquin Jeannès et al.
Journal of computational science, 2020, 41, pp.101073. ⟨10.1016/j.jocs.2019.101073⟩
Journal articles hal-02534923v1
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Improving abdomen tumor low-dose CT images using a fast dictionary learning based processing.

Yang Chen , Xindao Yin , Luyao Shi , Huazhong Shu , Limin Luo et al.
Physics in Medicine and Biology, 2013, 58 (16), pp.5803-20. ⟨10.1088/0031-9155/58/16/5803⟩
Journal articles inserm-00874944v1
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Radiation dose reduction with dictionary learning based processing for head CT.

Yang Chen , Luyao Shi , Jiang Yang , Yining Hu , Limin Luo et al.
Australasian Physical and Engineering Sciences in Medicine, 2014, 37 ((3)), pp.483-93. ⟨10.1007/s13246-014-0276-7⟩
Journal articles inserm-01007561v1
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Investigation of two neural mass models for DCM-based effective connectivity inference in temporal epilepsy

Wentao Xiang , Ahmad Karfoul , Chunfeng Yang , Huazhong Shu , Régine Le Bouquin Jeannès et al.
Computer Methods and Programs in Biomedicine, 2022, 221, pp.106840. ⟨10.1016/j.cmpb.2022.106840⟩
Journal articles hal-03689764v1