156 related articles for article (PubMed ID: 34021628)
21. DENSE with SENSE.
Aletras AH; Ingkanisorn WP; Mancini C; Arai AE
J Magn Reson; 2005 Sep; 176(1):99-106. PubMed ID: 15946874
[TBL] [Abstract][Full Text] [Related]
22. Correcting Susceptibility Artifacts of MRI Sensors in Brain Scanning: A 3D Anatomy-Guided Deep Learning Approach.
Duong STM; Phung SL; Bouzerdoum A; Ang SP; Schira MM
Sensors (Basel); 2021 Mar; 21(7):. PubMed ID: 33810289
[TBL] [Abstract][Full Text] [Related]
23. Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease.
Hauptmann A; Arridge S; Lucka F; Muthurangu V; Steeden JA
Magn Reson Med; 2019 Feb; 81(2):1143-1156. PubMed ID: 30194880
[TBL] [Abstract][Full Text] [Related]
24. Motion artifacts reduction in brain MRI by means of a deep residual network with densely connected multi-resolution blocks (DRN-DCMB).
Liu J; Kocak M; Supanich M; Deng J
Magn Reson Imaging; 2020 Sep; 71():69-79. PubMed ID: 32428549
[TBL] [Abstract][Full Text] [Related]
25. Artifact suppression for breast specimen imaging in micro CBCT using deep learning.
Aootaphao S; Puttawibul P; Thajchayapong P; Thongvigitmanee SS
BMC Med Imaging; 2024 Feb; 24(1):34. PubMed ID: 38321390
[TBL] [Abstract][Full Text] [Related]
26. FD-Net: An unsupervised deep forward-distortion model for susceptibility artifact correction in EPI.
Zaid Alkilani A; Çukur T; Saritas EU
Magn Reson Med; 2024 Jan; 91(1):280-296. PubMed ID: 37811681
[TBL] [Abstract][Full Text] [Related]
27. Uncertainty-aware physics-driven deep learning network for free-breathing liver fat and R
Shih SF; Kafali SG; Calkins KL; Wu HH
Magn Reson Med; 2023 Apr; 89(4):1567-1585. PubMed ID: 36426730
[TBL] [Abstract][Full Text] [Related]
28. Multi-domain convolutional neural network (MD-CNN) for radial reconstruction of dynamic cardiac MRI.
El-Rewaidy H; Fahmy AS; Pashakhanloo F; Cai X; Kucukseymen S; Csecs I; Neisius U; Haji-Valizadeh H; Menze B; Nezafat R
Magn Reson Med; 2021 Mar; 85(3):1195-1208. PubMed ID: 32924188
[TBL] [Abstract][Full Text] [Related]
29. Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning-based filter using convolutional neural network.
Kromrey ML; Tamada D; Johno H; Funayama S; Nagata N; Ichikawa S; Kühn JP; Onishi H; Motosugi U
Eur Radiol; 2020 Nov; 30(11):5923-5932. PubMed ID: 32556463
[TBL] [Abstract][Full Text] [Related]
30. Reconstruction of multicontrast MR images through deep learning.
Do WJ; Seo S; Han Y; Ye JC; Choi SH; Park SH
Med Phys; 2020 Mar; 47(3):983-997. PubMed ID: 31889314
[TBL] [Abstract][Full Text] [Related]
31. Retrospective respiratory motion correction in cardiac cine MRI reconstruction using adversarial autoencoder and unsupervised learning.
Ghodrati V; Bydder M; Ali F; Gao C; Prosper A; Nguyen KL; Hu P
NMR Biomed; 2021 Feb; 34(2):e4433. PubMed ID: 33258197
[TBL] [Abstract][Full Text] [Related]
32. A knowledge interaction learning for multi-echo MRI motion artifact correction towards better enhancement of SWI.
Al-Masni MA; Lee S; Al-Shamiri AK; Gho SM; Choi YH; Kim DH
Comput Biol Med; 2023 Feb; 153():106553. PubMed ID: 36641933
[TBL] [Abstract][Full Text] [Related]
33. In Vitro Validation of Regional Circumferential Strain Assessment in a Phantom Aortic Model Using Cine Displacement Encoding With Stimulated Echoes MRI.
Wilson JS; Islam M; Oshinski JN
J Magn Reson Imaging; 2022 Jun; 55(6):1773-1784. PubMed ID: 34704637
[TBL] [Abstract][Full Text] [Related]
34. Rapid reconstruction of highly undersampled, non-Cartesian real-time cine k-space data using a perceptual complex neural network (PCNN).
Shen D; Ghosh S; Haji-Valizadeh H; Pathrose A; Schiffers F; Lee DC; Freed BH; Markl M; Cossairt OS; Katsaggelos AK; Kim D
NMR Biomed; 2021 Jan; 34(1):e4405. PubMed ID: 32875668
[TBL] [Abstract][Full Text] [Related]
35. DeepResp: Deep learning solution for respiration-induced B
An H; Shin HG; Ji S; Jung W; Oh S; Shin D; Park J; Lee J
Neuroimage; 2021 Jan; 224():117432. PubMed ID: 33038539
[TBL] [Abstract][Full Text] [Related]
36. [Improvement of Motion Artifacts in Brain MRI Using Deep Learning by Simulation Training Data].
Muro I; Shimizu S; Tsukamoto H
Nihon Hoshasen Gijutsu Gakkai Zasshi; 2022; 78(1):13-22. PubMed ID: 35046218
[TBL] [Abstract][Full Text] [Related]
37. FReSCO: Flow Reconstruction and Segmentation for low-latency Cardiac Output monitoring using deep artifact suppression and segmentation.
Jaubert O; Montalt-Tordera J; Brown J; Knight D; Arridge S; Steeden J; Muthurangu V
Magn Reson Med; 2022 Nov; 88(5):2179-2189. PubMed ID: 35781891
[TBL] [Abstract][Full Text] [Related]
38. 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; 67(2):. PubMed ID: 34965516
[No Abstract] [Full Text] [Related]
39. Contrast-enhanced MRI synthesis using dense-dilated residual convolutions based 3D network toward elimination of gadolinium in neuro-oncology.
Osman AFI; Tamam NM
J Appl Clin Med Phys; 2023 Dec; 24(12):e14120. PubMed ID: 37552487
[TBL] [Abstract][Full Text] [Related]
40. Complementary displacement-encoded MRI for contrast-enhanced infarct detection and quantification of myocardial function in mice.
Gilson WD; Yang Z; French BA; Epstein FH
Magn Reson Med; 2004 Apr; 51(4):744-52. PubMed ID: 15065247
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]