Chao Lu
Affiliations:- Yale University, Department of Electrical Engineering, School of Engineering and Applied Science, New Heaven, CT, USA
- Siemens Corporate Research, Image Analytics and Informatics, Princeton, New Jersey, USA
According to our database1,
Chao Lu
authored at least 10 papers
between 2010 and 2012.
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Bibliography
2012
Simultaneous Nonrigid Registration, Segmentation, and Tumor Detection in MRI Guided Cervical Cancer Radiation Therapy.
IEEE Trans. Medical Imaging, 2012
A coupled segmentation and registration framework for medical image analysis using robust point matching and active shape model.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012
Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy.
Medical Image Anal., 2011
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided Radiotherapy.
Proceedings of the Information Processing in Medical Imaging, 2011
An algorithm for simultaneous image segmentation and nonrigid registration, with clinical application in image guided radiotherapy.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Constrained non-rigid registration using Lagrange multipliers for application in prostate radiotherapy.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010