Kangneng Zhou
Orcid: 0000-0001-9102-9527
According to our database1,
Kangneng Zhou
authored at least 21 papers
between 2020 and 2024.
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Bibliography
2024
MeshWGAN: Mesh-to-Mesh Wasserstein GAN With Multi-Task Gradient Penalty for 3D Facial Geometric Age Transformation.
IEEE Trans. Vis. Comput. Graph., August, 2024
EAR: Edge-Aware Reconstruction of 3-D vertebrae structures from bi-planar X-ray images.
CoRR, 2024
CoRR, 2024
2023
Integration- and separation-aware adversarial model for cerebrovascular segmentation from TOF-MRA.
Comput. Methods Programs Biomed., May, 2023
Comput. Biol. Medicine, May, 2023
Generative Consistency for Semi-Supervised Cerebrovascular Segmentation From TOF-MRA.
IEEE Trans. Medical Imaging, February, 2023
FDE-net: Frequency-domain enhancement network using dynamic-scale dilated convolution for thyroid nodule segmentation.
Comput. Biol. Medicine, February, 2023
CoRR, 2023
All answers are in the images: A review of deep learning for cerebrovascular segmentation.
Comput. Medical Imaging Graph., 2023
2022
TMSF-Net: Multi-series fusion network with treeconnect for colorectal tumor segmentation.
Comput. Methods Programs Biomed., 2022
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by multi-feature fusion and vessel completion.
Comput. Medical Imaging Graph., 2022
Comput. Aided Des., 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
2021
An Effective Deep Neural Network for Lung Lesions Segmentation From COVID-19 CT Images.
IEEE Trans. Ind. Informatics, 2021
Cerebrovascular segmentation from TOF-MRA based on multiple-U-net with focal loss function.
Comput. Methods Programs Biomed., 2021
CSR-Net: Cross-Scale Residual Network for multi-objective scaphoid fracture segmentation.
Comput. Biol. Medicine, 2021
2020
Open Curvature Scale Space Matching for Coronary Artery Identification in X-Ray Angiographic Images.
IEEE Access, 2020
Retinal Vessel Segmentation Combined With Generative Adversarial Networks and Dense U-Net.
IEEE Access, 2020