GoKawiilLauterbur, P. C. Image formation by induced local interactions: examples employing nuclear magnetic resonance. Nature 242, 190–191 (1973).
Mansfield, P. Multi-planar image formation using NMR spin echoes. J. Phys. C Solid State Phys. 10, L55–L58 (1977).
Wattjes, M. P. et al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis—establishing disease prognosis and monitoring patients. Nat. Rev. Neurol. 11, 597–606 (2015).
Wen, P. Y. et al. Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. J. Clin. Oncol. 28, 1963–1972 (2010).
Seiler, A. et al. Multiparametric quantitative MRI in neurological diseases. Front. Neurol. 12, 640239 (2021).
Filippi, M. et al. MRI criteria for the diagnosis of multiple sclerosis: MAGNIMS consensus guidelines. Lancet Neurol. 15, 292–303 (2016).
Villanueva-Meyer, J. E., Mabray, M. C. & Cha, S. Current clinical brain tumor imaging. Neurosurgery 81, 397–415 (2017).
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P. & Thompson, P. M. The clinical use of structural MRI in Alzheimer disease. Nat. Rev. Neurol. 6, 67–77 (2010).
Ma, D. et al. Magnetic resonance fingerprinting. Nature 495, 187–192 (2013).
Zhang, Z. et al. Blip up-down acquisition for spin- and gradient-echo imaging (BUDA-SAGE) with self-supervised denoising enables efficient T 2 , T 2 *, para- and dia-magnetic susceptibility mapping. Magn. Reson. Med. 88, 633–650 (2022).
... continue reading