Cheng Chen
Affiliations:- University of Bern, Institute of Surgical Technology and Biomechanics, Switzerland
According to our database1,
Cheng Chen
authored at least 11 papers
between 2013 and 2015.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2015
Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge.
IEEE Trans. Medical Imaging, 2015
Localization and Segmentation of 3D Intervertebral Discs in MR Images by Data Driven Estimation.
IEEE Trans. Medical Imaging, 2015
J. Digit. Imaging, 2015
2014
Automatic X-ray landmark detection and shape segmentation via data-driven joint estimation of image displacements.
Medical Image Anal., 2014
Fully automatic segmentation of AP pelvis X-rays via random forest regression with efficient feature selection and hierarchical sparse shape composition.
Comput. Vis. Image Underst., 2014
Statistical model-based segmentation of the proximal femur in digital antero-posterior (AP) pelvic radiographs.
Int. J. Comput. Assist. Radiol. Surg., 2014
Fully Automatic CT Segmentation for Computer-Assisted Pre-operative Planning of Hip Arthroscopy.
Proceedings of the Computer-Assisted and Robotic Endoscopy - First International Workshop, 2014
3D Intervertebral Disc Localization and Segmentation from MR Images by Data-Driven Regression and Classification.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2013
Fully Automatic X-Ray Image Segmentation via Joint Estimation of Image Displacements.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Robust Proximal Femur Segmentation in Conventional X-Ray Images via Random Forest Regression on Multi-resolution Gradient Features.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013
Fully Automatic Segmentation of AP Pelvis X-rays via Random Forest Regression and Hierarchical Sparse Shape Composition.
Proceedings of the Computer Analysis of Images and Patterns, 2013