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Journal Abstract Search
242 related items for PubMed ID: 30884007
1. Data-driven synthetic MRI FLAIR artifact correction via deep neural network. Ryu K, Nam Y, Gho SM, Jang J, Lee HJ, Cha J, Baek HJ, Park J, Kim DH. J Magn Reson Imaging; 2019 Nov; 50(5):1413-1423. PubMed ID: 30884007 [Abstract] [Full Text] [Related]
2. Validation of Deep Learning-Based Artifact Correction on Synthetic FLAIR Images in a Different Scanning Environment. Ryu KH, Baek HJ, Gho SM, Ryu K, Kim DH, Park SE, Ha JY, Cho SB, Lee JS. J Clin Med; 2020 Jan 29; 9(2):. PubMed ID: 32013069 [Abstract] [Full Text] [Related]
3. MRI motion artifact reduction using a conditional diffusion probabilistic model (MAR-CDPM). Safari M, Yang X, Fatemi A, Archambault L. Med Phys; 2024 Apr 29; 51(4):2598-2610. PubMed ID: 38009583 [Abstract] [Full Text] [Related]
4. Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI. Gong E, Pauly JM, Wintermark M, Zaharchuk G. J Magn Reson Imaging; 2018 Aug 29; 48(2):330-340. PubMed ID: 29437269 [Abstract] [Full Text] [Related]
5. Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation. Hagiwara A, Otsuka Y, Hori M, Tachibana Y, Yokoyama K, Fujita S, Andica C, Kamagata K, Irie R, Koshino S, Maekawa T, Chougar L, Wada A, Takemura MY, Hattori N, Aoki S. AJNR Am J Neuroradiol; 2019 Feb 29; 40(2):224-230. PubMed ID: 30630834 [Abstract] [Full Text] [Related]
6. DeepFLAIR: A neural network approach to mitigate signal and contrast loss in temporal lobes at 7 Tesla FLAIR images. Uher D, Drenthen GS, Poser BA, Hofman PAM, Wagner LG, van Lanen RHGJ, Hoeberigs CM, Colon AJ, Schijns OEMG, Jansen JFA, Backes WH. Magn Reson Imaging; 2024 Jul 29; 110():57-68. PubMed ID: 38621552 [Abstract] [Full Text] [Related]
7. DeepResp: Deep learning solution for respiration-induced B0 fluctuation artifacts in multi-slice GRE. An H, Shin HG, Ji S, Jung W, Oh S, Shin D, Park J, Lee J. Neuroimage; 2021 Jan 01; 224():117432. PubMed ID: 33038539 [Abstract] [Full Text] [Related]
8. Generation of quantification maps and weighted images from synthetic magnetic resonance imaging using deep learning network. Liu Y, Niu H, Ren P, Ren J, Wei X, Liu W, Ding H, Li J, Xia J, Zhang T, Lv H, Yin H, Wang Z. Phys Med Biol; 2022 Jan 17; 67(2):. PubMed ID: 34965516 [Abstract] [Full Text] [Related]
9. Water-fat separation and parameter mapping in cardiac MRI via deep learning with a convolutional neural network. Goldfarb JW, Craft J, Cao JJ. J Magn Reson Imaging; 2019 Aug 17; 50(2):655-665. PubMed ID: 30701621 [Abstract] [Full Text] [Related]
10. Improving the image quality of 3D FLAIR with a spiral MRI technique. Li Z, Pipe JG, Ooi MB, Kuwabara M, Karis JP. Magn Reson Med; 2020 Jan 17; 83(1):170-177. PubMed ID: 31393038 [Abstract] [Full Text] [Related]
11. Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks. Sujit SJ, Coronado I, Kamali A, Narayana PA, Gabr RE. J Magn Reson Imaging; 2019 Oct 17; 50(4):1260-1267. PubMed ID: 30811739 [Abstract] [Full Text] [Related]
12. Unsupervised motion artifact correction of turbo spin-echo MRI using deep image prior. Lee J, Seo H, Lee W, Park H. Magn Reson Med; 2024 Jul 17; 92(1):28-42. PubMed ID: 38282279 [Abstract] [Full Text] [Related]
13. Deep Learning Accelerated Image Reconstruction of Fluid-Attenuated Inversion Recovery Sequence in Brain Imaging: Reduction of Acquisition Time and Improvement of Image Quality. Estler A, Hauser TK, Mengel A, Brunnée M, Zerweck L, Richter V, Zuena M, Schuhholz M, Ernemann U, Gohla G. Acad Radiol; 2024 Jan 17; 31(1):180-186. PubMed ID: 37280126 [Abstract] [Full Text] [Related]
14. Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion correction. Hossbach J, Splitthoff DN, Cauley S, Clifford B, Polak D, Lo WC, Meyer H, Maier A. Med Phys; 2023 Apr 17; 50(4):2148-2161. PubMed ID: 36433748 [Abstract] [Full Text] [Related]
15. Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size. Narayana PA, Coronado I, Sujit SJ, Wolinsky JS, Lublin FD, Gabr RE. J Magn Reson Imaging; 2020 May 17; 51(5):1487-1496. PubMed ID: 31625650 [Abstract] [Full Text] [Related]
16. Synthetic MRI with T2-based Water Suppression to Reduce Hyperintense Artifacts due to CSF-Partial Volume Effects in the Brain. Kimura T, Yamashita K, Fukatsu K. Magn Reson Med Sci; 2021 Dec 01; 20(4):325-337. PubMed ID: 33071246 [Abstract] [Full Text] [Related]
17. Quad-Contrast Imaging: Simultaneous Acquisition of Four Contrast-Weighted Images (PD-Weighted, T₂-Weighted, PD-FLAIR and T₂-FLAIR Images) With Synthetic T₁-Weighted Image, T₁- and T₂-Maps. Ji S, Jeong J, Oh SH, Nam Y, Choi SH, Shin HG, Shin D, Jung W, Lee J. IEEE Trans Med Imaging; 2021 Dec 01; 40(12):3617-3626. PubMed ID: 34191724 [Abstract] [Full Text] [Related]
18. Accelerating FLAIR imaging via deep learning reconstruction: potential for evaluating white matter hyperintensities. Nishioka N, Shimizu Y, Kaneko Y, Shirai T, Suzuki A, Amemiya T, Ochi H, Bito Y, Takizawa M, Ikebe Y, Kameda H, Harada T, Fujima N, Kudo K. Jpn J Radiol; 2024 Sep 24. PubMed ID: 39316286 [Abstract] [Full Text] [Related]
19. Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI. Grøvik E, Yi D, Iv M, Tong E, Rubin D, Zaharchuk G. J Magn Reson Imaging; 2020 Jan 24; 51(1):175-182. PubMed ID: 31050074 [Abstract] [Full Text] [Related]
20. Value of fluid-attenuated inversion recovery MRI data analyzed by the lesion segmentation toolbox in amyotrophic lateral sclerosis. Wirth AM, Johannesen S, Khomenko A, Baldaranov D, Bruun TH, Wendl C, Schuierer G, Greenlee MW, Bogdahn U. J Magn Reson Imaging; 2019 Aug 24; 50(2):552-559. PubMed ID: 30569457 [Abstract] [Full Text] [Related] Page: [Next] [New Search]