130 related articles for article (PubMed ID: 37233758)
21. Deep learning-accelerated image reconstruction in back pain-MRI imaging: reduction of acquisition time and improvement of image quality.
Estler A; Hauser TK; Brunnée M; Zerweck L; Richter V; Knoppik J; Örgel A; Bürkle E; Adib SD; Hengel H; Nikolaou K; Ernemann U; Gohla G
Radiol Med; 2024 Mar; 129(3):478-487. PubMed ID: 38349416
[TBL] [Abstract][Full Text] [Related]
22. Comparison of agreement of cervical spine degenerative pathology findings in magnetic resonance imaging studies.
Fu MC; Webb ML; Buerba RA; Neway WE; Brown JE; Trivedi M; Lischuk AW; Haims AH; Grauer JN
Spine J; 2016 Jan; 16(1):42-8. PubMed ID: 26291398
[TBL] [Abstract][Full Text] [Related]
23. Deep learning HASTE sequence compared with T2-weighted BLADE sequence for liver MRI at 3 Tesla: a qualitative and quantitative prospective study.
Wary P; Hossu G; Ambarki K; Nickel D; Arberet S; Oster J; Orry X; Laurent V
Eur Radiol; 2023 Oct; 33(10):6817-6827. PubMed ID: 37188883
[TBL] [Abstract][Full Text] [Related]
24. Three-Dimensional Isotropic MRI of the Cervical Spine: A Diagnostic Comparison With Conventional MRI.
Fu MC; Buerba RA; Neway WE; Brown JE; Trivedi M; Lischuk AW; Haims AH; Grauer JN
Clin Spine Surg; 2016 Mar; 29(2):66-71. PubMed ID: 26889989
[TBL] [Abstract][Full Text] [Related]
25. Comparison of a Deep Learning-Accelerated vs. Conventional T2-Weighted Sequence in Biparametric MRI of the Prostate.
Tong A; Bagga B; Petrocelli R; Smereka P; Vij A; Qian K; Grimm R; Kamen A; Keerthivasan MB; Nickel MD; von Busch H; Chandarana H
J Magn Reson Imaging; 2023 Oct; 58(4):1055-1064. PubMed ID: 36651358
[TBL] [Abstract][Full Text] [Related]
26. The diagnostic value of magnetic resonance imaging measurements for assessing cervical spinal canal stenosis.
Rüegg TB; Wicki AG; Aebli N; Wisianowsky C; Krebs J
J Neurosurg Spine; 2015 Mar; 22(3):230-6. PubMed ID: 25525959
[TBL] [Abstract][Full Text] [Related]
27. Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction.
Yasaka K; Uehara S; Kato S; Watanabe Y; Tajima T; Akai H; Yoshioka N; Akahane M; Ohtomo K; Abe O; Kiryu S
J Imaging Inform Med; 2024 Apr; ():. PubMed ID: 38671337
[TBL] [Abstract][Full Text] [Related]
28. Deep Learning-Enhanced Parallel Imaging and Simultaneous Multislice Acceleration Reconstruction in Knee MRI.
Kim M; Lee SM; Park C; Lee D; Kim KS; Jeong HS; Kim S; Choi MH; Nickel D
Invest Radiol; 2022 Dec; 57(12):826-833. PubMed ID: 35776434
[TBL] [Abstract][Full Text] [Related]
29. Magnetic Resonance Imaging in Patients With Mechanical Low Back Pain Using a Novel Rapid-Acquisition Three-Dimensional SPACE Sequence at 1.5-T: A Pilot Study Comparing Lumbar Stenosis Assessment With Routine Two-Dimensional Magnetic Resonance Sequences.
Swami VG; Katlariwala M; Dhillon S; Jibri Z; Jaremko JL
Can Assoc Radiol J; 2016 Nov; 67(4):368-378. PubMed ID: 27245289
[TBL] [Abstract][Full Text] [Related]
30. Evaluation of osseous cervical foraminal stenosis in spinal radiculopathy using susceptibility-weighted magnetic resonance imaging.
Engel G; Bender YY; Adams LC; Boker SM; Fahlenkamp UL; Wagner M; Diederichs G; Hamm B; Makowski MR
Eur Radiol; 2019 Apr; 29(4):1855-1862. PubMed ID: 30324384
[TBL] [Abstract][Full Text] [Related]
31. Deep Learning-reconstructed Parallel Accelerated Imaging for Knee MRI.
Lee SM; Kim M; Park C; Lee D; Kim KS; Jeong HS; Choi MH
Curr Med Imaging; 2024; 20():e240523217293. PubMed ID: 37226797
[TBL] [Abstract][Full Text] [Related]
32. Imaging of the degenerative spine using a sagittal T2-weighted DIXON turbo spin-echo sequence.
Sollmann N; Mönch S; Riederer I; Zimmer C; Baum T; Kirschke JS
Eur J Radiol; 2020 Oct; 131():109204. PubMed ID: 32801054
[TBL] [Abstract][Full Text] [Related]
33. Application of deep learning-based image reconstruction in MR imaging of the shoulder joint to improve image quality and reduce scan time.
Kaniewska M; Deininger-Czermak E; Getzmann JM; Wang X; Lohezic M; Guggenberger R
Eur Radiol; 2023 Mar; 33(3):1513-1525. PubMed ID: 36166084
[TBL] [Abstract][Full Text] [Related]
34. Comparison of lumbar degenerative disc disease using conventional fast spin echo
Saifuddin A; Rajakulasingam R; Santiago R; Siddiqui M; Khoo M; Pressney I
Br J Radiol; 2021 May; 94(1121):20201438. PubMed ID: 33684306
[TBL] [Abstract][Full Text] [Related]
35. Accelerated T2-weighted MRI of the liver at 3 T using a single-shot technique with deep learning-based image reconstruction: impact on the image quality and lesion detection.
Ginocchio LA; Smereka PN; Tong A; Prabhu V; Nickel D; Arberet S; Chandarana H; Shanbhogue KP
Abdom Radiol (NY); 2023 Jan; 48(1):282-290. PubMed ID: 36171342
[TBL] [Abstract][Full Text] [Related]
36. Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol.
Herrmann J; Keller G; Gassenmaier S; Nickel D; Koerzdoerfer G; Mostapha M; Almansour H; Afat S; Othman AE
Eur Radiol; 2022 Sep; 32(9):6215-6229. PubMed ID: 35389046
[TBL] [Abstract][Full Text] [Related]
37. Comparison of deep learning-based reconstruction of PROPELLER Shoulder MRI with conventional reconstruction.
Hahn S; Yi J; Lee HJ; Lee Y; Lee J; Wang X; Fung M
Skeletal Radiol; 2023 Aug; 52(8):1545-1555. PubMed ID: 36943429
[TBL] [Abstract][Full Text] [Related]
38. Accelerated Two-Point Dixon MR Angiography Improves Diagnostic Performance for Cervical Artery Diseases.
Amemiya S; Takei N; Ueyama T; Fujii K; Takao H; Yasaka K; Watanabe Y; Kamiya K; Abe O
J Magn Reson Imaging; 2022 Sep; 56(3):929-941. PubMed ID: 35188699
[TBL] [Abstract][Full Text] [Related]
39. Deep learning-accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality.
Gassenmaier S; Afat S; Nickel D; Mostapha M; Herrmann J; Othman AE
Eur J Radiol; 2021 Apr; 137():109600. PubMed ID: 33610853
[TBL] [Abstract][Full Text] [Related]
40. Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability.
Almansour H; Herrmann J; Gassenmaier S; Afat S; Jacoby J; Koerzdoerfer G; Nickel D; Mostapha M; Nadar M; Othman AE
Radiology; 2023 Mar; 306(3):e212922. PubMed ID: 36318032
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]