The following publications are possibly variants of this publication:
- Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and SegmentationXiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng. miccai 2016: 85-91 [doi]
- Fully Automatic Localization and Segmentation of Intervertebral Disc from 3D Multi-modality MR Images by Regression Forest and CNNXing Ji, Guoyan Zheng, Li Liu, Dong Ni. miccai 2016: 92-101 [doi]
- Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand ChallengeGuodong Zeng, Daniel Belavy, Shuo Li 0001, Guoyan Zheng. miccai 2019: 163-171 [doi]
- DSMS-FCN: A Deeply Supervised Multi-scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR ImagesGuodong Zeng, Guoyan Zheng. miccai 2018: 148-159 [doi]
- Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation FrameworkChengwen Chu, Weimin Yu, Shuo Li, Guoyan Zheng. miccai 2016: 141-149 [doi]
- Multi-stream 3D FCN with multi-scale deep supervision for multi-modality isointense infant brain MR image segmentationGuodong Zeng, Guoyan Zheng. isbi 2018: 136-140 [doi]
- Localization and Segmentation of 3D Intervertebral Discs in MR Images by Data Driven EstimationCheng Chen, Daniel Belavy, Weimin Yu, Chengwen Chu, Gabriele Armbrecht, Martin Bansmann, Dieter Felsenberg, Guoyan Zheng. tmi, 34(8):1719-1729, 2015. [doi]
- 3D Intervertebral Disc Localization and Segmentation from MR Images by Data-Driven Regression and ClassificationCheng Chen, D. Belavy, Guoyan Zheng. miccai 2014: 50-58 [doi]