260 related articles for article (PubMed ID: 36766523)
1. Conventional and Deep-Learning-Based Image Reconstructions of Undersampled K-Space Data of the Lumbar Spine Using Compressed Sensing in MRI: A Comparative Study on 20 Subjects.
Fervers P; Zaeske C; Rauen P; Iuga AI; Kottlors J; Persigehl T; Sonnabend K; Weiss K; Bratke G
Diagnostics (Basel); 2023 Jan; 13(3):. PubMed ID: 36766523
[TBL] [Abstract][Full Text] [Related]
2. Reconstruction of shoulder MRI using deep learning and compressed sensing: a validation study on healthy volunteers.
Dratsch T; Siedek F; Zäske C; Sonnabend K; Rauen P; Terzis R; Hahnfeldt R; Maintz D; Persigehl T; Bratke G; Iuga A
Eur Radiol Exp; 2023 Oct; 7(1):66. PubMed ID: 37880546
[TBL] [Abstract][Full Text] [Related]
3. A deep learning-based reconstruction approach for accelerated magnetic resonance image of the knee with compressed sense: evaluation in healthy volunteers.
Iuga AI; Rauen PS; Siedek F; Große-Hokamp N; Sonnabend K; Maintz D; Lennartz S; Bratke G
Br J Radiol; 2023 Jun; 96(1146):20220074. PubMed ID: 37086077
[TBL] [Abstract][Full Text] [Related]
4. Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers.
Dratsch T; Zäske C; Siedek F; Rauen P; Hokamp NG; Sonnabend K; Maintz D; Bratke G; Iuga A
Eur Radiol Exp; 2024 Apr; 8(1):47. PubMed ID: 38616220
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain.
Feuerriegel GC; Weiss K; Kronthaler S; Leonhardt Y; Neumann J; Wurm M; Lenhart NS; Makowski MR; Schwaiger BJ; Woertler K; Karampinos DC; Gersing AS
Eur Radiol; 2023 Jul; 33(7):4875-4884. PubMed ID: 36806569
[TBL] [Abstract][Full Text] [Related]
6. Five-minute knee MRI: An AI-based super resolution reconstruction approach for compressed sensing. A validation study on healthy volunteers.
Terzis R; Dratsch T; Hahnfeldt R; Basten L; Rauen P; Sonnabend K; Weiss K; Reimer R; Maintz D; Iuga AI; Bratke G
Eur J Radiol; 2024 Jun; 175():111418. PubMed ID: 38490130
[TBL] [Abstract][Full Text] [Related]
7. Accelerated MRI of the Lumbar Spine Using Compressed Sensing: Quality and Efficiency.
Bratke G; Rau R; Weiss K; Kabbasch C; Sircar K; Morelli JN; Persigehl T; Maintz D; Giese D; Haneder S
J Magn Reson Imaging; 2019 Jun; 49(7):e164-e175. PubMed ID: 30267462
[TBL] [Abstract][Full Text] [Related]
8. Identification of sampling patterns for high-resolution compressed sensing MRI of porous materials: 'learning' from X-ray microcomputed tomography data.
Karlsons K; DE Kort DW; Sederman AJ; Mantle MD; DE Jong H; Appel M; Gladden LF
J Microsc; 2019 Nov; 276(2):63-81. PubMed ID: 31587277
[TBL] [Abstract][Full Text] [Related]
9. Prospectively Accelerated T2-Weighted Imaging of the Prostate by Combining Compressed SENSE and Deep Learning in Patients with Histologically Proven Prostate Cancer.
Harder FN; Weiss K; Amiel T; Peeters JM; Tauber R; Ziegelmayer S; Burian E; Makowski MR; Sauter AP; Gschwend JE; Karampinos DC; Braren RF
Cancers (Basel); 2022 Nov; 14(23):. PubMed ID: 36497223
[TBL] [Abstract][Full Text] [Related]
10. Accelerated 3D MR neurography of the brachial plexus using deep learning-constrained compressed sensing.
Hu SX; Xiao Y; Peng WL; Zeng W; Zhang Y; Zhang XY; Ling CT; Li HX; Xia CC; Li ZL
Eur Radiol; 2024 Feb; 34(2):842-851. PubMed ID: 37606664
[TBL] [Abstract][Full Text] [Related]
11. Accelerated 3D high-resolution T2-weighted breast MRI with deep learning constrained compressed sensing, comparison with conventional T2-weighted sequence on 3.0 T.
Yang F; Pan X; Zhu K; Xiao Y; Yue X; Peng P; Zhang X; Huang J; Chen J; Yuan Y; Sun J
Eur J Radiol; 2022 Nov; 156():110562. PubMed ID: 36270194
[TBL] [Abstract][Full Text] [Related]
12. Accelerating anatomical 2D turbo spin echo imaging of the ankle using compressed sensing.
Gersing AS; Bodden J; Neumann J; Diefenbach MN; Kronthaler S; Pfeiffer D; Knebel C; Baum T; Schwaiger BJ; Hock A; Rummeny EJ; Woertler K; Karampinos DC
Eur J Radiol; 2019 Sep; 118():277-284. PubMed ID: 31301872
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of Variable Density and Data-Driven K-Space Undersampling for Compressed Sensing Magnetic Resonance Imaging.
Zijlstra F; Viergever MA; Seevinck PR
Invest Radiol; 2016 Jun; 51(6):410-9. PubMed ID: 26674209
[TBL] [Abstract][Full Text] [Related]
14. Dual-domain accelerated MRI reconstruction using transformers with learning-based undersampling.
Hong GQ; Wei YT; Morley WAW; Wan M; Mertens AJ; Su Y; Cheng HM
Comput Med Imaging Graph; 2023 Jun; 106():102206. PubMed ID: 36857952
[TBL] [Abstract][Full Text] [Related]
15. Accelerated multiple-quantum-filtered sodium magnetic resonance imaging using compressed sensing at 7 T.
Chen Q; Worthoff WA; Shah NJ
Magn Reson Imaging; 2024 Apr; 107():138-148. PubMed ID: 38171423
[TBL] [Abstract][Full Text] [Related]
16. Feasibility of Artificial Intelligence Constrained Compressed SENSE Accelerated 3D Isotropic T1 VISTA Sequence For Vessel Wall MR Imaging: Exploring the Potential of Higher Acceleration Factors Compared to Traditional Compressed SENSE.
Ma Y; Wang M; Qiao Y; Wen Y; Zhu Y; Jiang K; Lian J; Tong D
Acad Radiol; 2024 Apr; ():. PubMed ID: 38664146
[TBL] [Abstract][Full Text] [Related]
17. Phase-regularized and displacement-regularized compressed sensing for fast magnetic resonance elastography.
Mohammed S; Kozlowski P; Salcudean S
NMR Biomed; 2023 Jul; 36(7):e4899. PubMed ID: 36628624
[TBL] [Abstract][Full Text] [Related]
18. Speeding up the clinical routine: Compressed sensing for 2D imaging of lumbar spine disc herniation.
Bratke G; Rau R; Kabbasch C; Zäske C; Maintz D; Haneder S; Große Hokamp N; Persigehl T; Siedek F; Weiss K
Eur J Radiol; 2021 Jul; 140():109738. PubMed ID: 33945923
[TBL] [Abstract][Full Text] [Related]
19. Application research of AI-assisted compressed sensing technology in MRI scanning of the knee joint: 3D-MRI perspective.
Ni M; He M; Yang Y; Wen X; Zhao Y; Gao L; Yan R; Xu J; Zhang Y; Chen W; Jiang C; Li Y; Zhao Q; Wu P; Li C; Qu J; Yuan H
Eur Radiol; 2024 May; 34(5):3046-3058. PubMed ID: 37932390
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]