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ORCID6th CSI@MICCAI 2019: Shenzhen, China
- Yunliang Cai, Liansheng Wang, Michel A. Audette, Guoyan Zheng, Shuo Li:
Computational Methods and Clinical Applications for Spine Imaging - 6th International Workshop and Challenge, CSI@MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11963, Springer 2020, ISBN 978-3-030-39751-7
Regular Papers
- Joeri Nicolaes
, Steven Raeymaeckers, David Robben, Guido Wilms, Dirk Vandermeulen, Cesar Libanati, Marc Debois:
Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks. 3-14 - Geoff Klein, Anne L. Martel, Arjun Sahgal, Cari M. Whyne, Michael R. Hardisty:
Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline. 15-28 - Malek El Husseini, Anjany Sekuboyina, Amirhossein Bayat, Bjoern H. Menze, Maximilian Löffler, Jan S. Kirschke:
Conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures. 29-38 - Amirhossein Bayat, Anjany Sekuboyina, Felix Hofmann, Malek El Husseini, Jan S. Kirschke, Bjoern H. Menze:
Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape. 39-46 - Huaqing Liu, Haoping Xiao, Lishu Luo, Chaobo Feng, Bangde Yin, Dongdong Wang, Yufeng Li, Shisheng He, Guoxin Fan:
Semi-supervised Semantic Segmentation of Multiple Lumbosacral Structures on CT. 47-59
AASCE Challenge
- Kailin Chen, Cheng Peng, Yi Li, Dalong Cheng, Si Wei:
Accurate Automated Keypoint Detections for Spinal Curvature Estimation. 63-68 - Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng:
Seg4Reg Networks for Automated Spinal Curvature Estimation. 69-74 - Shixuan Zhao, Bo Wang, Kaifu Yang, Yongjie Li:
Automatic Spine Curvature Estimation by a Top-Down Approach. 75-80 - Bidur Khanal, Lavsen Dahal, Prashant Adhikari, Bishesh Khanal:
Automatic Cobb Angle Detection Using Vertebra Detector and Vertebra Corners Regression. 81-87 - Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Wiro J. Niessen, Marleen de Bruijne:
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. 88-94 - Rong Tao, Shangliang Xu, Haiping Wu, Cheng Zhang, Chuanfeng Lv:
Automated Spinal Curvature Assessment from X-Ray Images Using Landmarks Estimation Network via Rotation Proposals. 95-100 - Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao:
A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment. 101-106 - Shuxin Wang, Shaohui Huang, Liansheng Wang:
Spinal Curve Guide Network (SCG-Net) for Accurate Automated Spinal Curvature Estimation. 107-112 - Jiacheng Wang, Liansheng Wang, Changhua Liu:
A Multi-task Learning Method for Direct Estimation of Spinal Curvature. 113-118
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