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Fradkin, M.,
Breeuwer, M.,
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0501
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0609
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ICIP96(III: 699-702).
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9610
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The Haemodynamics of Endovascular Aneurysm Treatment: A Computational
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MedImg(27), No. 6, June 2008, pp. 814-824.
IEEE DOI
0711
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Pulse Wave Imaging of Normal and Aneurysmal Abdominal Aortas In Vivo,
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IEEE DOI
0904
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Cesar, L.,
Seong, J.,
Wakhloo, A.K.,
Lieber, B.B.,
Treatment of Rabbit Elastase-Induced Aneurysm Models by Flow Diverters:
Development of Quantifiable Indexes of Device Performance Using Digital
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MedImg(28), No. 7, July 2009, pp. 1117-1125.
IEEE DOI
0906
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Pozo, J.M.,
Bogunovic, H.,
Larrabide, I.,
Frangi, A.F.,
Automatic Aneurysm Neck Detection Using Surface Voronoi Diagrams,
MedImg(30), No. 10, October 2011, pp. 1863-1876.
IEEE DOI
1110
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Bogunovic, H.,
Pozo, J.M.,
Cardenes, R.,
Roman, L.S.,
Frangi, A.F.,
Anatomical Labeling of the Circle of Willis Using Maximum A
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IEEE DOI
1309
Anatomical labeling
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Ayerdi, B.[Borja],
Maiora, J.[Josu],
Active Learning with Bootstrapped Dendritic Classifier applied to
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Lattice Computing. Interactive segmentation
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Tapia, A.[Arantxa],
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Textural Classification of Abdominal Aortic Aneurysm after Endovascular
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1109
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Improving microaneurysm detection using an optimally selected subset
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1410
Biomedical imaging processing
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1302
BibRef
Earlier:
An Oriented Flux Symmetry Based Active Contour Model for Three
Dimensional Vessel Segmentation,
ECCV10(III: 720-734).
Springer DOI
1009
BibRef
Earlier:
Three Dimensional Curvilinear Structure Detection Using Optimally
Oriented Flux,
ECCV08(IV: 368-382).
Springer DOI
0810
BibRef
Earlier:
Segmentation of Vessels Using Weighted Local Variances and an Active
contour Model,
MMBIA06(83).
IEEE DOI
0609
BibRef
And:
Minimal Weighted Local Variance as Edge Detector for Active Contour
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ACCV06(I:622-632).
Springer DOI
0601
BibRef
Benmansour, F.[Fethallah],
Cohen, L.D.[Laurent D.],
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IEEE DOI
0906
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Elastic Interaction Models for Active Contours and Surfaces,
CVBIA05(314-323).
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0601
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0507
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Auer, M.,
Gasser, T.C.,
Reconstruction and Finite Element Mesh Generation of Abdominal Aortic
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1003
BibRef
Jerman, T.,
Pernuš, F.,
Likar, B.,
Špiclin, Ž.,
Enhancement of Vascular Structures in 3D and 2D Angiographic Images,
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IEEE DOI
1609
Aneurysm
BibRef
Phillips, E.H.,
Achille, P.D.[P. Di],
Bersi, M.R.,
Humphrey, J.D.,
Goergen, C.J.,
Multi-Modality Imaging Enables Detailed Hemodynamic Simulations in
Dissecting Aneurysms in Mice,
MedImg(36), No. 6, June 2017, pp. 1297-1305.
IEEE DOI
1706
Aneurysm, Computational modeling, Hemodynamics, Imaging, Lesions, Mice,
Aneurysm, animal models and imaging, aortic dissection,
blood vessels, computational fluid dynamic models, hemodynamics,
multi-modality fusion, optical coherence tomography (OCT),
optical imaging, quantification and estimation, ultrasound
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Li, S.S.[Shu-Sheng],
Chen, Y.P.[Yi-Ping],
Lin, J.K.[Jian-Kun],
Liu, C.H.[Chang-Hua],
Structure Fusion for Automatic Segmentation of Left Atrial Aneurysm
Based on Deep Residual Networks,
MLMI16(262-270).
Springer DOI
1611
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Martínez-Mera, J.A.[Juan Antonio],
Tahoces, P.G.[Pablo G.],
Varela-Ponte, R.,
Suárez-Cuenca, J.J.[Jorge Juan],
Souto, M.[Miguel],
Carreira, J.M.[José M.],
Clinical Evaluation of an Automatic Method for Segmentation and
Characterization of the Thoracic Aorta with and Without Aneurysm
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IbPRIA15(727-734).
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1506
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Zhang, L.[Lei],
You, J.[Jane],
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Microaneurysm (MA) Detection via Sparse Representation Classifier with
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ICPR10(277-280).
IEEE DOI
1008
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Pallawala, P.M.D.S.,
Hsu, W.[Wynne],
Lee, M.L.[Mong Li],
Goh, S.S.[Say Song],
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Eigenvectors,
WACV05(I: 322-327).
IEEE DOI
0502
BibRef
Magee, D.,
Bulpitt, A.,
Berry, E.,
Automated Segmentation and Structural Analysis of Vascular Trees Using
Deformable Models,
LevelSet01(xx-yy).
0106
BibRef
And:
Combining 3D Deformable Models and Level Set Methods for the
Segmentation of Abdominal Aortic Aneurysms,
BMVC01(Session 4: Segmentation).
HTML Version. University of Leeds
0110
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Heart Valve Analysis .