151 related articles for article (PubMed ID: 36018822)
1. Automated morphologic analysis of intracranial and extracranial arteries using convolutional neural networks.
Wan L; Li H; Zhang L; Su S; Wang C; Zhang B; Liang D; Zheng H; Liu X; Zhang N
Br J Radiol; 2022 Oct; 95(1139):20210031. PubMed ID: 36018822
[TBL] [Abstract][Full Text] [Related]
2. Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black-blood vessel wall MRI.
Wu J; Xin J; Yang X; Sun J; Xu D; Zheng N; Yuan C
Med Phys; 2019 Dec; 46(12):5544-5561. PubMed ID: 31356693
[TBL] [Abstract][Full Text] [Related]
3. Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks.
Shi F; Yang Q; Guo X; Qureshi TA; Tian Z; Miao H; Dey D; Li D; Fan Z
IEEE Trans Biomed Eng; 2019 Oct; 66(10):2840-2847. PubMed ID: 30716027
[TBL] [Abstract][Full Text] [Related]
4. Reproducibility of simultaneous imaging of intracranial and extracranial arterial vessel walls using an improved T1-weighted DANTE-SPACE sequence on a 3 T MR system.
Wan L; Zhang N; Zhang L; Long X; Jia S; Li Y; Liang D; Zheng H; Liu X
Magn Reson Imaging; 2019 Oct; 62():152-158. PubMed ID: 31051200
[TBL] [Abstract][Full Text] [Related]
5. High resolution simultaneous imaging of intracranial and extracranial arterial wall with improved cerebrospinal fluid suppression.
Zhang L; Zhang N; Wu J; Liu X; Chung YC
Magn Reson Imaging; 2017 Dec; 44():65-71. PubMed ID: 28807750
[TBL] [Abstract][Full Text] [Related]
6. 3D whole-brain vessel wall cardiovascular magnetic resonance imaging: a study on the reliability in the quantification of intracranial vessel dimensions.
Zhang N; Zhang F; Deng Z; Yang Q; Diniz MA; Song SS; Schlick KH; Marcel Maya M; Gonzalez N; Li D; Zheng H; Liu X; Fan Z
J Cardiovasc Magn Reson; 2018 Jun; 20(1):39. PubMed ID: 29898736
[TBL] [Abstract][Full Text] [Related]
7. Deep Learning-Based Automated Detection of Arterial Vessel Wall and Plaque on Magnetic Resonance Vessel Wall Images.
Xu W; Yang X; Li Y; Jiang G; Jia S; Gong Z; Mao Y; Zhang S; Teng Y; Zhu J; He Q; Wan L; Liang D; Li Y; Hu Z; Zheng H; Liu X; Zhang N
Front Neurosci; 2022; 16():888814. PubMed ID: 35720719
[TBL] [Abstract][Full Text] [Related]
8. Automatic lumen and outer wall segmentation of the carotid artery using deformable three-dimensional models in MR angiography and vessel wall images.
van 't Klooster R; de Koning PJ; Dehnavi RA; Tamsma JT; de Roos A; Reiber JH; van der Geest RJ
J Magn Reson Imaging; 2012 Jan; 35(1):156-65. PubMed ID: 22031339
[TBL] [Abstract][Full Text] [Related]
9. Automated registration of multispectral MR vessel wall images of the carotid artery.
van 't Klooster R; Staring M; Klein S; Kwee RM; Kooi ME; Reiber JH; Lelieveldt BP; van der Geest RJ
Med Phys; 2013 Dec; 40(12):121904. PubMed ID: 24320515
[TBL] [Abstract][Full Text] [Related]
10. Fast segmentation of the femoral arteries from 3D MR images: A tool for rapid assessment of peripheral arterial disease.
Chen W; Xu J; Chiu B
Med Phys; 2015 May; 42(5):2431-48. PubMed ID: 25979037
[TBL] [Abstract][Full Text] [Related]
11. VWI-APP: Vessel wall imaging-dedicated automated processing pipeline for intracranial atherosclerotic plaque quantification.
Zhou H; Xiao J; Ganesh S; Lerner A; Ruan D; Fan Z
Med Phys; 2023 Mar; 50(3):1496-1506. PubMed ID: 36345580
[TBL] [Abstract][Full Text] [Related]
12. Fully automated and robust analysis technique for popliteal artery vessel wall evaluation (FRAPPE) using neural network models from standardized knee MRI.
Chen L; Canton G; Liu W; Hippe DS; Balu N; Watase H; Hatsukami TS; Waterton JC; Hwang JN; Yuan C
Magn Reson Med; 2020 Oct; 84(4):2147-2160. PubMed ID: 32162395
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of 3D multi-contrast joint intra- and extracranial vessel wall cardiovascular magnetic resonance.
Zhou Z; Li R; Zhao X; He L; Wang X; Wang J; Balu N; Yuan C
J Cardiovasc Magn Reson; 2015 May; 17(1):41. PubMed ID: 26013973
[TBL] [Abstract][Full Text] [Related]
14. Three-dimensional intra- and extracranial arterial vessel wall joint imaging in patients with cerebrovascular disease.
Jia L; Zhang N; Kukun H; Ren L; Zhang L; Lyu J; Liang D; Li Y; Zheng H; Jia W; Liu X
Eur J Radiol; 2020 May; 126():108921. PubMed ID: 32145599
[TBL] [Abstract][Full Text] [Related]
15. Subvoxel vessel wall thickness measurements of the intracranial arteries using a convolutional neural network.
van Hespen KM; Zwanenburg JJM; Hendrikse J; Kuijf HJ
Med Image Anal; 2021 Jan; 67():101818. PubMed ID: 33049576
[TBL] [Abstract][Full Text] [Related]
16. INTRACRANIAL VESSEL WALL SEGMENTATION FOR ATHEROSCLEROTIC PLAQUE QUANTIFICATION.
Zhou H; Xiao J; Fan Z; Ruan D
Proc IEEE Int Symp Biomed Imaging; 2021 Apr; 2021():1416-1419. PubMed ID: 34405036
[TBL] [Abstract][Full Text] [Related]
17. Fast plaque burden assessment of the femoral artery using 3D black-blood MRI and automated segmentation.
Chiu B; Sun J; Zhao X; Wang J; Balu N; Chi J; Xu J; Yuan C; Kerwin WS
Med Phys; 2011 Oct; 38(10):5370-84. PubMed ID: 21992357
[TBL] [Abstract][Full Text] [Related]
18. Quantification of common carotid artery and descending aorta vessel wall thickness from MR vessel wall imaging using a fully automated processing pipeline.
Gao S; van 't Klooster R; Brandts A; Roes SD; Alizadeh Dehnavi R; de Roos A; Westenberg JJ; van der Geest RJ
J Magn Reson Imaging; 2017 Jan; 45(1):215-228. PubMed ID: 27251901
[TBL] [Abstract][Full Text] [Related]
19. Reliability and Value of 3D Sequential QUantitative T
Qiao H; Yang Q; Huo R; Han H; Ning Z; Shen R; Song X; Chen H; Chen S; Zhao X
J Magn Reson Imaging; 2023 May; 57(5):1376-1389. PubMed ID: 36173363
[TBL] [Abstract][Full Text] [Related]
20. Multi-Planar, Multi-Contrast and Multi-Time Point Analysis Tool (MOCHA) for Intracranial Vessel Wall Characterization.
Guo Y; Canton G; Chen L; Sun J; Geleri DB; Balu N; Xu D; Mossa-Basha M; Hatsukami TS; Yuan C
J Magn Reson Imaging; 2022 Sep; 56(3):944-955. PubMed ID: 35099091
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]