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
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
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
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
Wu, D.S.[Da-Sheng],
Li, H.M.[Hao-Ming],
Chang, J.B.[Jian-Bo],
Qin, C.C.[Chen-Chen],
Chen, Y.H.[Yi-Hao],
Liu, Y.X.[Yi-Xun],
Zhang, Q.H.[Qing-Hua],
Huang, B.S.[Bing-Sheng],
Feng, M.[Ming],
Wang, R.Z.[Ren-Zhi],
Yao, J.H.[Jian-Hua],
Automatic Brain Midline Surface Delineation on 3D CT Images With
Intracranial Hemorrhage,
MedImg(41), No. 9, September 2022, pp. 2217-2227.
IEEE DOI
2209
Hemorrhaging, Head, Computed tomography, Task analysis, Surgery,
Image edge detection, 3D brain midline surface,
rectification learning
BibRef
Kim, S.[Sekeun],
Jiang, Z.X.[Zhen-Xiang],
Zambrano, B.A.[Byron A.],
Jang, Y.G.[Yeong-Gul],
Baek, S.[Seungik],
Yoo, S.[Sunkook],
Chang, H.J.[Hyuk-Jae],
Deep Learning on Multiphysical Features and Hemodynamic Modeling for
Abdominal Aortic Aneurysm Growth Prediction,
MedImg(42), No. 1, January 2023, pp. 196-208.
IEEE DOI
2301
Predictive models, Hemodynamics, Data models,
Convolutional neural networks, Image segmentation
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
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Heart Valve Analysis .