Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The L0 Regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images.

Y. Duan, H. Chang, W. Huang, J. Zhou, Z. Lu, and C. Wu. IEEE Trans. Image Processing, 24 (11): 3927-3938 (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Dr. -Ing. Huan Zhou University of Stuttgart

Yangchao Zhou University of Stuttgart

Qian Zhou University of Stuttgart

Other publications of authors with the same name

Oversampled delta-sigma beamformer with modified zone-based dynamic focusing.C. Gao, J. Zhou, L. Koh, and E. Wong. ISBI, page 892-895. IEEE, (2006)Nasopharyngeal carcinoma lesion segmentation from MR images by support vector machine.J. Zhou, K. Chan, P. Xu, and V. Chong. ISBI, page 1364-1367. IEEE, (2006)Efficient and robust image segmentation with a new piecewise-smooth decomposition model.Y. Gu, L. Wang, W. Xiong, J. Cheng, W. Huang, and J. Zhou. ICIP, page 2718-2722. IEEE, (2013)Computer-aided focal liver lesion detection.Y. Chi, J. Zhou, S. Venkatesh, S. Huang, Q. Tian, T. Hennedige, and J. Liu. Int. J. Comput. Assist. Radiol. Surg., 8 (4): 511-525 (2013)Segmentation of Skull Base Tumors from MRI Using a Hybrid Support Vector Machine-Based Method.J. Zhou, Q. Tian, V. Chong, W. Xiong, W. Huang, and Z. Wang. MLMI, volume 7009 of Lecture Notes in Computer Science, page 134-141. Springer, (2011)Modeling and Simulation of Soft Tissue Deformation.Y. Duan, W. Huang, H. Chang, W. Chen, K. Toe, J. Zhou, T. Yang, J. Liu, S. Teo, C. Lim and 3 other author(s). Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 221-230. Springer, (2013)Longitudinal in-vivo volumetry study for porcine liver regeneration from CT data.J. Zhou, W. Huang, S. Chang, W. Xiong, T. Oo, and W. Chen. EMBC, page 4743-4746. IEEE, (2014)A semi-automatic approach to the segmentation of liver parenchyma from 3D CT images with Extreme Learning Machine.W. Huang, Z. Tan, Z. Lin, G. Huang, J. Zhou, C. Chui, Y. Su, and S. Chang. EMBC, page 3752-3755. IEEE, (2012)Liver tumor detection and segmentation using kernel-based extreme learning machine.W. Huang, N. Li, Z. Lin, G. Huang, W. Zong, J. Zhou, and Y. Duan. EMBC, page 3662-3665. IEEE, (2013)Synchronous simulation for deformation of liver and gallbladder with stretch and compression compensation.Y. Duan, W. Huang, H. Chang, K. Toe, T. Yang, J. Zhou, J. Liu, S. Teo, C. Lim, Y. Su and 2 other author(s). EMBC, page 4941-4944. IEEE, (2013)

PUMA

Disambiguation of "Zhou, Jiayin"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The L0 Regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images.

Please choose a person to relate this publication to

Dr. -Ing. Huan Zhou University of Stuttgart

Yangchao Zhou University of Stuttgart

Qian Zhou University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Zhou, Jiayin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The L0 Regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images.

Please choose a person to relate this publication to

Dr. -Ing. Huan Zhou University of Stuttgart

Yangchao Zhou University of Stuttgart

Qian Zhou University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The L0 Regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images.