20.10.6.2 Aneurysms -- Vascular Analysis

Chapter Contents (Back)
Blood Vessels. Arterial Network. Brain specific: See also Brain, Cortex, Cerebral Arteries.

Olabarriaga, S.D., Rouet, J.M., Fradkin, M., Breeuwer, M., Niessen, W.J.,
Segmentation of Thrombus in Abdominal Aortic Aneurysms From CTA With Nonparametric Statistical Grey Level Appearance Modeling,
MedImg(24), No. 4, April 2005, pp. 477-485.
IEEE Abstract. 0501
BibRef

Fleming, A.D., Philip, S., Goatman, K.A., Olson, J.A., Sharp, P.F.,
Automated microaneurysm detection using local contrast normalization and local vessel detection,
MedImg(25), No. 9, September 2006, pp. 1223-1232.
IEEE DOI 0609
BibRef

Cree, M.J., Olson, J.A., McHardy, K.C., Forrester, J.V., Sharp, P.F.,
Automated microaneurysm detection,
ICIP96(III: 699-702).
IEEE DOI 9610
BibRef

Kakalis, N.M.P., Mitsos, A.P., Byrne, J.V., Ventikos, Y.,
The Haemodynamics of Endovascular Aneurysm Treatment: A Computational Modelling Approach for Estimating the Influence of Multiple Coil Deployment,
MedImg(27), No. 6, June 2008, pp. 814-824.
IEEE DOI 0711
BibRef

Luo, J., Fujikura, K., Tyrie, L.S., Tilson, M.D., Konofagou, E.E.,
Pulse Wave Imaging of Normal and Aneurysmal Abdominal Aortas In Vivo,
MedImg(28), No. 4, April 2009, pp. 477-486.
IEEE DOI 0904
BibRef

Sadasivan, C., 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 Subtraction Angiography,
MedImg(28), No. 7, July 2009, pp. 1117-1125.
IEEE DOI 0906
BibRef

Cardenes, R., 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
BibRef

Bogunovic, H., Pozo, J.M., Cardenes, R., Roman, L.S., Frangi, A.F.,
Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Probability Estimation,
MedImg(32), No. 9, 2013, pp. 1587-1599.
IEEE DOI 1309
Anatomical labeling BibRef

Chyzhyk, D.[Darya], Ayerdi, B.[Borja], Maiora, J.[Josu],
Active Learning with Bootstrapped Dendritic Classifier applied to medical image segmentation,
PRL(34), No. 14, 2013, pp. 1602-1608.
Elsevier DOI 1308
Lattice Computing. Interactive segmentation BibRef

García, G.[Guillermo], Maiora, J.[Josu], Tapia, A.[Arantxa], de Blas, M.[Mariano],
Textural Classification of Abdominal Aortic Aneurysm after Endovascular Repair: Preliminary Results,
CAIP11(I: 537-544).
Springer DOI 1109
BibRef

Antal, B.[Bálint], Hajdu, A.[András],
Improving microaneurysm detection using an optimally selected subset of candidate extractors and preprocessing methods,
PR(45), No. 1, 2012, pp. 264-270.
Elsevier DOI 1410
Biomedical imaging processing BibRef

Law, M.W.K.[Max W.K.], Chung, A.C.S.[Albert C.S.],
Segmentation of Intracranial Vessels and Aneurysms in Phase Contrast Magnetic Resonance Angiography Using Multirange Filters and Local Variances,
IP(22), No. 3, March 2013, pp. 845-859.
IEEE DOI 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 Models,
ACCV06(I:622-632).
Springer DOI 0601
BibRef

Benmansour, F.[Fethallah], Cohen, L.D.[Laurent D.], Law, M.W.K.[Max W. K.], Chung, A.C.S.[Albert C. S.],
Tubular anisotropy for 2D vessel segmentation,
CVPR09(2286-2293).
IEEE DOI 0906
BibRef

Chung, A.C.S.[Albert C.S.], Xiang, Y.[Yang], Ye, J.[Jian], Law, W.K.,
Elastic Interaction Models for Active Contours and Surfaces,
CVBIA05(314-323).
Springer DOI 0601
BibRef

Xiang, Y.[Yang], Chung, A.C.S.[Albert C.S.], Ye, J.[Jian],
A New Active Contour Method Based on Elastic Interaction,
CVPR05(I: 452-457).
IEEE DOI 0507
BibRef

Auer, M., Gasser, T.C.,
Reconstruction and Finite Element Mesh Generation of Abdominal Aortic Aneurysms From Computerized Tomography Angiography Data With Minimal User Interactions,
MedImg(29), No. 4, April 2010, pp. 1022-1028.
IEEE DOI 1003
BibRef

Jerman, T., Pernuš, F., Likar, B., Špiclin, Ž.,
Enhancement of Vascular Structures in 3D and 2D Angiographic Images,
MedImg(35), No. 9, September 2016, pp. 2107-2118.
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 BibRef


Morariu, C.A., Thomas, M., Pauli, J., Dohle, D.S., Tsagakis, K.,
Sequential vs. batch machine-learning with evolutionary hyperparameter optimization for segmenting aortic dissection thrombus,
ICPR16(1189-1194)
IEEE DOI 1705
Aneurysm, Blood, Feature extraction, Image segmentation, Narrowband, Three-dimensional displays, Training BibRef

Wang, L.S.[Lian-Sheng], 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
BibRef

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 Patients,
IbPRIA15(727-734).
Springer DOI 1506
BibRef

Zhang, B.[Bob], Zhang, L.[Lei], You, J.[Jane], Karray, F.[Fakhri],
Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and Non-MA Dictionary Learning,
ICPR10(277-280).
IEEE DOI 1008
BibRef

Pallawala, P.M.D.S., Hsu, W.[Wynne], Lee, M.L.[Mong Li], Goh, S.S.[Say Song],
Automated Microaneurysm Segmentation and Detection using Generalized 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 .


Last update:Jun 13, 2019 at 09:53:00