Daniel K. Sodickson
Affiliations: | Basic Medical Science | New York University, New York, NY, United States |
Area:
Electronics and Electrical Engineering, Electricity and Magnetism PhysicsWebsite:
https://med.nyu.edu/faculty/daniel-k-sodicksonGoogle:
"Daniel Sodickson"Bio:
Sodickson, Daniel Kevin Spin-spin couplings in two limits : experimental, theoretical, and computational studies of dipole-coupled nuclear spins in solids Thesis (Ph. D.)--Massachusetts Institute of Technology, Whitaker College of Health Sciences and Technology, 1994.
Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Robert G. Griffin | grad student | 1994 | MIT (Chemistry Tree) | |
| John S. Waugh | grad student | 1994 | MIT (Chemistry Tree) | |
| (Spin-spin couplings in two limits : experimental, theoretical, and computational studies of dipole-coupled nuclear spins in solids.) | ||||
Children
Sign in to add trainee| Cem M. Deniz | grad student | 2012 | NYU |
| Leeor Alon | grad student | 2014 | NYU |
| Gene Y. Cho | grad student | 2014 | NYU |
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Publications
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| Vöröslakos M, Yaghmazadeh O, Alon L, et al. (2023) Brain-implanted conductors amplify radiofrequency fields in rodents: Advantages and risks. Bioelectromagnetics |
| Hedayati E, Safari F, Verghese G, et al. (2023) An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning. Arxiv |
| Yaghmazadeh O, Vöröslakos M, Alon L, et al. (2022) Neuronal activity under transcranial radio-frequency stimulation in metal-free rodent brains in-vivo. Communications Engineering. 1 |
| Recht MP, Zbontar J, Sodickson DK, et al. (2020) Using Deep Learning to Accelerate Knee MRI at 3T: Results of an Interchangeability Study. Ajr. American Journal of Roentgenology |
| Lakshmanan K, Cloos M, Brown R, et al. (2020) The “Loopole” Antenna: A Hybrid Coil Combining Loop and Electric Dipole Properties for Ultra-High-Field MRI Concepts in Magnetic Resonance Part B-Magnetic Resonance Engineering. 2020: 1-9 |
| Knoll F, Hammernik K, Zhang C, et al. (2020) Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues Ieee Signal Processing Magazine. 37: 128-140 |
| Ben-Eliezer N, Raya JG, Babb JS, et al. (2019) A New Method for Cartilage Evaluation in Femoroacetabular Impingement Using Quantitative T2 Magnetic Resonance Imaging: Preliminary Validation against Arthroscopic Findings. Cartilage. 1947603519870852 |
| Assländer J, Novikov DS, Lattanzi R, et al. (2019) Hybrid-state free precession in nuclear magnetic resonance. Communications Physics. 2 |
| Prabhu V, Rosenkrantz AB, Otazo R, et al. (2019) Population net benefit of prostate MRI with high spatiotemporal resolution contrast-enhanced imaging: A decision curve analysis. Journal of Magnetic Resonance Imaging : Jmri |
| Zhang B, Sodickson DK, Cloos MA. (2018) Publisher Correction: A high-impedance detector-array glove for magnetic resonance imaging of the hand. Nature Biomedical Engineering. 2: 708 |