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McLennan, G.,
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Beigelman-Aubry, C.,
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Duber, C.,
Kauczor, H.U.,
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MedImg(27), No. 1, January 2008, pp. 64-74.
IEEE DOI
0712
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Lo, P.,
van Ginneken, B.,
Reinhardt, J.M.,
Yavarna, T.,
de Jong, P.A.,
Irving, B.,
Fetita, C.,
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Feuerstein, M.,
Fabijanska, A.,
Bauer, C.,
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Chen, D.Z.,
Tawhai, M.H.,
Wu, X.,
Hoffman, E.A.,
Sonka, M.,
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1303
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1307
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Earlier: A1, A5, A2, A3, A4:
Geometries on Spaces of Treelike Shapes,
ACCV10(II: 160-173).
Springer DOI
1011
Binary trees; Topology; anatomical structure; tree metric.
Statistical method for shapes.
Shape of trees, such as data trees and pulmonary trees.
BibRef
Feragen, A.,
Petersen, J.,
Owen, M.,
Lo, P.[Pechin],
Thomsen, L.H.[L. Hohwu],
Wille, M.M.W.,
Dirksen, A.,
de Bruijne, M.,
Geodesic Atlas-Based Labeling of Anatomical Trees:
Application and Evaluation on Airways Extracted From CT,
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1506
cancer
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Complexity of Computing Distances between Geometric Trees,
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1211
BibRef
Feragen, A.[Aasa],
Hauberg, S.[Soren],
Nielsen, M.[Mads],
Lauze, F.[Francois],
Means in spaces of tree-like shapes,
ICCV11(736-746).
IEEE DOI
1201
Computations for other then Euclidean spae.
See also Toward a Theory of Statistical Tree-Shape Analysis.
BibRef
Feragen, A.[Aasa],
Lauze, F.[Francois],
Nielsen, M.[Mads],
Fundamental Geodesic Deformations in Spaces of Treelike Shapes,
ICPR10(2089-2093).
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1008
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Feragen, A.[Aasa],
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Jensen, E.B.V.[Eva Bjřrn Vedel],
du Plessis, A.[Andrew],
Lauze, F.[François],
Geometry and Statistics: Manifolds and Stratified Spaces,
JMIV(50), No. 1-2, September 2014, pp. 1-4.
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1408
BibRef
Bauer, C.,
Eberlein, M.,
Beichel, R.R.,
Graph-Based Airway Tree Reconstruction From Chest CT Scans:
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IEEE DOI
1505
Cavity resonators
BibRef
Abadi, E.,
Segars, W.P.,
Sturgeon, G.M.,
Roos, J.E.,
Ravin, C.E.,
Samei, E.,
Modeling Lung Architecture in the XCAT Series of Phantoms:
Physiologically Based Airways, Arteries and Veins,
MedImg(37), No. 3, March 2018, pp. 693-702.
IEEE DOI
1804
blood vessels, cardiology, computerised tomography, haemodynamics,
lung, medical image processing, phantoms, pneumodynamics, XCAT lungs,
tissue modeling
BibRef
Aguilar, K.[Kevin],
Alférez, G.H.[Germán H.],
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Nadeem, S.A.,
Hoffman, E.A.,
Sieren, J.C.,
Comellas, A.P.,
Bhatt, S.P.,
Barjaktarevic, I.Z.,
Abtin, F.,
Saha, P.K.,
A CT-Based Automated Algorithm for Airway Segmentation Using
Freeze-and-Grow Propagation and Deep Learning,
MedImg(40), No. 1, January 2021, pp. 405-418.
IEEE DOI
2012
Computed tomography, Image segmentation, Lung,
Atmospheric modeling, Diseases, Airway tree, COPD, CT,
tree-leakages
BibRef
Zheng, H.[Hao],
Qin, Y.[Yulei],
Gu, Y.[Yun],
Xie, F.F.[Fang-Fang],
Yang, J.[Jie],
Sun, J.Y.[Jia-Yuan],
Yang, G.Z.[Guang-Zhong],
Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway
Segmentation,
MedImg(40), No. 9, September 2021, pp. 2452-2462.
IEEE DOI
2109
Training, Image segmentation, Sun, Lung, Task analysis, Sensitivity,
Medical diagnostic imaging, Airway segmentation, class imbalance,
General Union loss
BibRef
Tan, W.J.[Wen-Jun],
Liu, P.[Pan],
Li, X.S.[Xiao-Shuo],
Xu, S.X.[Shao-Xun],
Chen, Y.F.[Yu-Fei],
Yang, J.Z.[Jin-Zhu],
Segmentation of lung airways based on deep learning methods,
IET-IPR(16), No. 5, 2022, pp. 1444-1456.
DOI Link
2203
BibRef
Zamani, M.[Majid],
Kallio, M.[Merja],
Bayford, R.[Richard],
Demosthenous, A.[Andreas],
Generation of Anatomically Inspired Human Airway Tree Using
Electrical Impedance Tomography: A Method to Estimate Regional Lung
Filling Characteristics,
MedImg(41), No. 5, May 2022, pp. 1125-1137.
IEEE DOI
2205
Electrical impedance tomography, Lung, Impedance, Filling,
Electrodes, Convolution, Ventilation,
self-exploratory tracing algorithm
BibRef
Yu, W.H.[Wei-Hao],
Zheng, H.[Hao],
Gu, Y.[Yun],
Xie, F.F.[Fang-Fang],
Yang, J.[Jie],
Sun, J.Y.[Jia-Yuan],
Yang, G.Z.[Guang-Zhong],
TNN: Tree Neural Network for Airway Anatomical Labeling,
MedImg(42), No. 1, January 2023, pp. 103-118.
IEEE DOI
2301
Image segmentation, Computed tomography, Labeling,
Feature extraction, Skeleton, Pipelines, Lung,
overlapping distribution
BibRef
Lidayová, K.[Kristína],
Betancur, D.A.G.[Duván Alberto Gómez],
Frimmel, H.[Hans],
Hoyos, M.H.[Marcela Hernández],
Orkisz, M.[Maciej],
Smedby, Ö.[Örjan],
Airway-Tree Segmentation in Subjects with Acute Respiratory Distress
Syndrome,
SCIA17(II: 76-87).
Springer DOI
1706
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Nadeem, S.A.[Syed Ahmed],
Jin, D.[Dakai],
Hoffman, E.A.[Eric A.],
Saha, P.K.[Punam K.],
A Novel Iterative Method for Airway Tree Segmentation from CT Imaging
Using Multiscale Leakage Detection,
MCBMIIA16(III: 46-60).
Springer DOI
1704
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Pan, Y.,
Christensen, G.E.,
Durumeric, O.C.,
Gerard, S.E.,
Reinhardt, J.M.,
Hugo, G.D.,
Current-and Varifold-Based Registration of Lung Vessel and Airway
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WBIR16(566-573)
IEEE DOI
1612
Diffeomorphic image registration
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Betancur, D.A.G.[Duván Alberto Gómez],
Fabijanska, A.[Anna],
Flórez-Valencia, L.[Leonardo],
Pinzón, A.M.[Alfredo Morales],
Serrano, E.E.D.[Eduardo Enrique Dávila],
Richard, J.C.[Jean-Christophe],
Orkisz, M.[Maciej],
Hoyos, M.H.[Marcela Hernández],
Airway Segmentation, Skeletonization, and Tree Matching to Improve
Registration of 3D CT Images with Large Opacities in the Lungs,
ICCVG16(395-407).
Springer DOI
1611
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Huang, R.,
Bi, L.,
Li, C.,
Jung, Y.,
Kim, J.M.[Jin-Man],
Fulham, M.J.,
Feng, D.D.,
A Locally Constrained Random Walk Approach for Airway Segmentation of
Low-Contrast Computed Tomography (CT) Image,
DICTA15(1-7)
IEEE DOI
1603
computerised tomography
BibRef
Ortner, M.[Margarete],
Fetita, C.[Catalin],
Brillet, P.Y.[Pierre-Yves],
Pręteux, F.[Françoise],
Grenier, P.[Philippe],
3D Vector Flow Guided Segmentation of Airway Wall in MSCT,
ISVC10(II: 302-311).
Springer DOI
1011
BibRef
Fabijanska, A.[Anna],
Janaszewski, M.[Marcin],
Postolski, M.[Michal],
Babout, L.[Laurent],
Airway Tree Segmentation from CT Scans Using Gradient-Guided 3D Region
Growing,
CIARP09(247-254).
Springer DOI
0911
BibRef
Rudrapatna, M.,
Amaratunga, P.,
Prasad, M.N.,
Sowmya, A.,
Wilson, P.,
Automatic Detection of Tram Tracks on HRCT Images,
ICIP06(885-888).
IEEE DOI
0610
high-res CT airways appear as pair of tracks.
BibRef
Deschamps, T.[Thomas], and
Cohen, L.D.[Laurent D.],
Fast extraction of tubular and tree 3d surfaces with front propagation
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ICPR02(I: 731-734).
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PDF File.
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Bronchoscopy Systems, Bronchial Analysis .