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Disambiguation of "Jin, Dakai"

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Fuzzy Skeletonization Improves the Performance of Characterizing Trabecular Bone Micro-architecture.

, , and . ISVC (1), volume 9474 of Lecture Notes in Computer Science, page 14-24. Springer, (2015)

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Dr. Xinxin Jing University of Stuttgart

 

Other publications of authors with the same name

A New Algorithm for Cortical Bone Segmentation with Its Validation and Applications to In Vivo Imaging., , , , , and . ICIAP (2), volume 8157 of Lecture Notes in Computer Science, page 349-358. Springer, (2013)A New Approach of Arc Skeletonization for Tree-like Objects Using Minimum Cost Path., , , and . ICPR, page 942-947. IEEE Computer Society, (2014)A Novel Iterative Method for Airway Tree Segmentation from CT Imaging Using Multiscale Leakage Detection., , , and . ACCV Workshops (3), volume 10118 of Lecture Notes in Computer Science, page 46-60. Springer, (2016)Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker., , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 195-203. Springer, (2017)Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans., , , , , , , and . MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 491-500. Springer, (2020)Automated Assessment of Pulmonary Arterial Morphology in Multi-row Detector CT Imaging Using Correspondence with Anatomic Airway Branches., , , and . ISVC (1), volume 8887 of Lecture Notes in Computer Science, page 521-530. Springer, (2014)Volumetric Topological Analysis on In Vivo Trabecular Bone Magnetic Resonance Imaging., , , , , , , and . ISVC (1), volume 8887 of Lecture Notes in Computer Science, page 501-510. Springer, (2014)A robust and efficient curve skeletonization algorithm for tree-like objects using minimum cost paths., , , , and . Pattern Recognition Letters, (2016)Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge., , , , , , , , , and 34 other author(s). IEEE Trans. Med. Imaging, 38 (11): 2556-2568 (2019)White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections., , , and . CoRR, (2018)