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Journal Abstract Search
220 related items for PubMed ID: 30716027
1. 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 [Abstract] [Full Text] [Related]
2. 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 [Abstract] [Full Text] [Related]
3. 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 [Abstract] [Full Text] [Related]
4. Plaque Morphologic Quantification Reliability of 3D Whole-Brain Vessel Wall Imaging in Patients With Intracranial Atherosclerotic Disease: A Comparison With Conventional 3D Targeted Vessel Wall Imaging. Zhang N, Liu X, Xiao J, Song SS, Fan Z. J Magn Reson Imaging; 2021 Jul; 54(1):166-174. PubMed ID: 33586289 [Abstract] [Full Text] [Related]
5. High resolution vessel wall MR imaging in prestenotic intracranial atherosclerotic disease. Song JW, Rafla SD, Obusez EC, Raymond SB, Gurol EM, Schaefer PW, Romero JM. J Clin Neurosci; 2019 May; 63():278-280. PubMed ID: 30683465 [Abstract] [Full Text] [Related]
6. Temporal Changes on Postgadolinium MR Vessel Wall Imaging Captures Enhancement Kinetics of Intracranial Atherosclerotic Plaques and Aneurysms. Patel A, Abdalla RN, Allaw S, Cantrell DR, Shaibani A, Caprio F, Hasan DM, Alaraj A, Polster SP, Carroll TJ, Ansari SA. AJNR Am J Neuroradiol; 2024 Sep 09; 45(9):1206-1213. PubMed ID: 39054289 [Abstract] [Full Text] [Related]
7. 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 14; 20(1):39. PubMed ID: 29898736 [Abstract] [Full Text] [Related]
8. High-resolution MR vessel wall imaging in determining the stroke aetiology and risk stratification in isolated middle cerebral artery disease. Tandon V, Senthilvelan S, Sreedharan SE, Kesavadas C, Vt J, Sylaja PN. Neuroradiology; 2022 Aug 14; 64(8):1569-1577. PubMed ID: 35112218 [Abstract] [Full Text] [Related]
9. Intracranial Plaque Characterization in Patients with Acute Ischemic Stroke Using Pre- and Post-Contrast Three-Dimensional Magnetic Resonance Vessel Wall Imaging. Natori T, Sasaki M, Miyoshi M, Ito K, Ohba H, Miyazawa H, Narumi S, Kabasawa H, Harada T, Terayama Y. J Stroke Cerebrovasc Dis; 2016 Jun 14; 25(6):1425-30. PubMed ID: 27021042 [Abstract] [Full Text] [Related]
17. 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 14; 45(1):215-228. PubMed ID: 27251901 [Abstract] [Full Text] [Related]
18. 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 14; 35(1):156-65. PubMed ID: 22031339 [Abstract] [Full Text] [Related]
20. Automatic myocardial segmentation in dynamic contrast enhanced perfusion MRI using Monte Carlo dropout in an encoder-decoder convolutional neural network. Kim YC, Kim KR, Choe YH. Comput Methods Programs Biomed; 2020 Mar 14; 185():105150. PubMed ID: 31671341 [Abstract] [Full Text] [Related] Page: [Next] [New Search]