Searched for: in-biosketch:yes
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MetaMorphs: Deformable shape and texture models
Chapter by: Huang, XL; Metaxas, D; Chen, T
in: PROCEEDINGS OF THE 2004 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1 by
LOS ALAMITOS : IEEE COMPUTER SOC, 2004
pp. 496-503
ISBN: 0-7695-2158-4
CID: 2932242
A hybrid 3D segmentation framework
Chapter by: Metaxas, D; Chen, T
in: 2004 2ND IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1 AND 2 by
NEW YORK : IEEE, 2004
pp. 13-16
ISBN: 0-7803-8388-5
CID: 2932292
Cardiac segmentation from MRI-tagged and CT images
Chapter by: Metaxas, D; Chen, Ting; Huang, X; Axel, Leon
in: 8th WSEAS International Conf. on Computers, special session on Imaging and Image Processing of Dynamic Processes in biology and medicine by
[S.l. : s.n.], 2004
pp. ?-?
ISBN:
CID: 2932422
Hybrid segmentation methods
Chapter by: Imielinska, C; Jin, YP; Angelini, E; Metaxas, D; Chen, T; Udupa, JK; Zhuge, Y
in: Insight into images : principles and practice for segmentation, registration, and image analysis by Yoo, Terry S (Ed)
Wellesley, Mass. : A K Peters, 2004
pp. 351-388
ISBN: 9781568812175
CID: 2932322
Gibbs prior models, marching cubes, and deformable models: A hybrid framework for 3D medical image segmentation
Chapter by: Chen, T; Metaxas, D
in: MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2003, PT 2 by ; Ellis, RE; Peters, TM
BERLIN : SPRINGER-VERLAG BERLIN, 2003
pp. 703-710
ISBN: 3-540-20464-4
CID: 2932302
Hybrid segmentation framework for 3D medical image analysis
Chapter by: Chen, T; Metaxas, D
in: MEDICAL IMAGING 2003: IMAGE PROCESSING, PTS 1-3 by ; Sonka, M; Fitzpatrick, JM
BELLINGHAM : SPIE-INT SOC OPTICAL ENGINEERING, 2003
pp. 1421-1432
ISBN: 0-8194-4833-8
CID: 2932132
Integration of Gibbs prior models and deformable models for 3D medical image segmentation
Chapter by: Chen, T; Metaxas, D
in: 16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL I, PROCEEDINGS by ; Kasturi, R; Laurendeau, D; Suen, C
LOS ALAMITOS : IEEE COMPUTER SOC, 2002
pp. 719-722
ISBN: 0-7695-1695-x
CID: 2932142
Hybrid Segmentation of Anatomical Data
Imielinska, Celina; Metaxas, Dimitris; Udupa, Jayaram; Jin, Yinpgen; Chen, Ting
We propose new hybrid methods for automated segmentation of radiological patient data and the Visible Human data. In this paper, we integrate boundary-based and region-based segmentation methods which amplifies the strength but reduces the weakness of both approaches. The novelty comes from combining a boundary-based method, the deformable model-based segmentation with region-based segmentation methods, the fuzzy connectedness and Voronoi Diagram-based segmentation, to develop hybrid methods that yield high precision, accuracy and efficiency. This work is a part of a NLM funded effort to provide a fully implemented and tested Visible Human Project Segmentation and Registration Toolkit
ORIGINAL:0012467
ISSN: 0302-9743
CID: 2932412
Image segmentation based on the integration of Markov Random Fields and deformable models
Chapter by: Chen, T; Metaxas, D
in: MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2000 by ; Delp, S; DiGioia, AM; Jaramaz, B
BERLIN : SPRINGER-VERLAG BERLIN, 2000
pp. 256-265
ISBN: 3-540-41189-5
CID: 2932252
Hybrid segmentation of the visible human data
Chapter by: Imielinska, C; Metaxas, D; Udupa, J; Jin, Yinpeng; Chen, Ting
in: The third visible human project : conference proceedings 2000 by Banvard, Richard A (Ed)
[S.l. : s.n.], 2000
pp. ?-?
ISBN: n/a
CID: 2932382