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:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

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

Ruler Based Automatic C-Arm Image Stitching Without Overlapping Constraint.
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


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