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Guanyu Yang
Researcher at Southeast University
Publications - 109
Citations - 1702
Guanyu Yang is an academic researcher from Southeast University. The author has contributed to research in topics: Computer science & Segmentation. The author has an hindex of 18, co-authored 80 publications receiving 1181 citations. Previous affiliations of Guanyu Yang include Leiden University Medical Center & Chinese Ministry of Education.
Papers
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Motion Compensated Tomography Reconstruction of Coronary Arteries in Rotational Angiography
TL;DR: 3-D reconstruction of the coronary tree from a rotational X-ray projection sequence using an algebraic reconstruction technique algorithm is proposed and performances are comparable to those obtained by reconstruction of a statical coronary tree using an mathematics-based technique.
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Application of texture analysis to muscle MRI: 2 – technical recommendations
Richard A. Lerski,Jacques D. de Certaines,Dorota Duda,Wlodzimierz Klonowski,Guanyu Yang,Jean Louis Coatrieux,Jean Louis Coatrieux,Noura Azzabou,Pierre-Antoine Eliat +8 more
TL;DR: Recommendations on the optimal methodology to collect the MRI data, to analyse it via texture analysis and to make conclusions from the resultant texture parameter data are presented.
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HIFUNet: Multi-Class Segmentation of Uterine Regions From MR Images Using Global Convolutional Networks for HIFU Surgery Planning
Chen Zhang,Huazhong Shu,Guanyu Yang,Faqi Li,Yingang Wen,Qin Zhang,Jean-Louis Dillenseger,Jean-Louis Coatrieux +7 more
TL;DR: A large kernel Encoder-Decoder Network based on a 2D segmentation model that can capture multi-scale contexts by enlarging the valid receptive field and extract denser feature maps is proposed.
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Vessel segmentation using centerline constrained level set method
TL;DR: An algorithm termed Centerline constrained level set (CC-LS) for vessel segmentation which utilizes centerline information to improve the evolution of level set and a new centerline modulated velocity term can be used in the level set evolution function to avoid the wrong inclusion of non-vessel structures.
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Accelerated gradient-based free form deformable registration for online adaptive radiotherapy
TL;DR: An accurate gradient-based free form deformation algorithm (GFFD) that can decrease the effect of the inconsistent intensities between the two modalities, thus improving the registration accuracy and robustness and was implemented by graphics processing units (GPU) through OpenCL framework.