Author of the publication

Vector Field Convolution-Based B-Spline Deformation Model for 3D Segmentation of Cartilage in MRI.

, , , , and . Symmetry, 10 (11): 591 (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation., , , , , and . Medical Image Anal., (2017)Sparse Representation-Based Deformation Model for Atlas-Based Segmentation of Liver CT Images., , and . ICIG (3), volume 9219 of Lecture Notes in Computer Science, page 410-419. Springer, (2015)SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver CT segmentation., , , and . CoRR, (2021)SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography., , , and . Comput. Methods Programs Biomed., (2021)Greedy algorithm based deformable simplex meshes using gradient vector flow as external energy., , , and . BMEI, page 199-204. IEEE, (2014)Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images., , , and . CoRR, (2021)Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation., , , , and . CoRR, (2021)Vector Field Convolution-Based B-Spline Deformation Model for 3D Segmentation of Cartilage in MRI., , , , and . Symmetry, 10 (11): 591 (2018)A hierarchical local region-based sparse shape composition for liver segmentation in CT scans., , , , , and . Pattern Recognit., (2016)A Two-Stage High-Dimensional Feature Selection Method for Pulmonary Tumor Classification in CT., , , , and . J. Medical Imaging Health Informatics, 9 (7): 1516-1523 (2019)