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Cited by in F6Publishing
For: Hermann I, Chacon-Caldera J, Brumer I, Rieger B, Weingärtner S, Schad LR, Zöllner FG. Magnetic resonance fingerprinting for simultaneous renal T1 and T 2 * mapping in a single breath-hold. Magn Reson Med 2020;83:1940-8. [PMID: 31900983 DOI: 10.1002/mrm.28160] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
1 Cao P, Wang Z, Liu C, Li T, Hui E, Cai J. Motion-resolved and free-breathing liver MRF. Magnetic Resonance Imaging 2022. [DOI: 10.1016/j.mri.2022.05.015] [Reference Citation Analysis]
2 Hermann I, Golla AK, Martínez-Heras E, Schmidt R, Solana E, Llufriu S, Gass A, Schad LR, Zöllner FG. Lesion probability mapping in MS patients using a regression network on MR fingerprinting. BMC Med Imaging 2021;21:107. [PMID: 34238246 DOI: 10.1186/s12880-021-00636-x] [Reference Citation Analysis]
3 Hermann I, Martínez-Heras E, Rieger B, Schmidt R, Golla AK, Hong JS, Lee WK, Yu-Te W, Nagtegaal M, Solana E, Llufriu S, Gass A, Schad LR, Weingärtner S, Zöllner FG. Accelerated white matter lesion analysis based on simultaneous T 1 and T 2 quantification using magnetic resonance fingerprinting and deep learning. Magn Reson Med 2021;86:471-86. [PMID: 33547656 DOI: 10.1002/mrm.28688] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Caroli A, Remuzzi A, Lerman LO. Basic principles and new advances in kidney imaging. Kidney Int 2021:S0085-2538(21)00477-4. [PMID: 33984338 DOI: 10.1016/j.kint.2021.04.032] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Wang M, Perucho JAU, Cao P, Vardhanabhuti V, Cui D, Wang Y, Khong PL, Hui ES, Lee EYP. Repeatability of MR fingerprinting in normal cervix and utility in cervical carcinoma. Quant Imaging Med Surg 2021;11:3990-4003. [PMID: 34476184 DOI: 10.21037/qims-20-1382] [Reference Citation Analysis]
6 Khajehim M, Christen T, Tam F, Graham SJ. Streamlined magnetic resonance fingerprinting: Fast whole-brain coverage with deep-learning based parameter estimation. Neuroimage 2021;238:118237. [PMID: 34091035 DOI: 10.1016/j.neuroimage.2021.118237] [Reference Citation Analysis]
7 Hong JS, Hermann I, Zöllner FG, Schad LR, Wang SJ, Lee WK, Chen YL, Chang Y, Wu YT. Acceleration of Magnetic Resonance Fingerprinting Reconstruction Using Denoising and Self-Attention Pyramidal Convolutional Neural Network. Sensors (Basel) 2022;22:1260. [PMID: 35162007 DOI: 10.3390/s22031260] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Sharafi A, Medina K, Zibetti MWV, Rao S, Cloos MA, Brown R, Regatte RR. Simultaneous T1 , T2 , and T relaxation mapping of the lower leg muscle with MR fingerprinting. Magn Reson Med 2021;86:372-81. [PMID: 33554369 DOI: 10.1002/mrm.28704] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
9 Choi MH, Lee SW, Kim HG, Kim JY, Oh SW, Han D, Kim DH. 3D MR fingerprinting (MRF) for simultaneous T1 and T2 quantification of the bone metastasis: Initial validation in prostate cancer patients. Eur J Radiol 2021;144:109990. [PMID: 34638082 DOI: 10.1016/j.ejrad.2021.109990] [Reference Citation Analysis]