class BMEer:
def __init__(self):
self.name = "Kang Yan"
self.role = "Ph.D. candidate"
self.major = "MRI"
self.university = "University of Virginia"
self.interested_topics = ["spiral", "deep learning", "dMRI", "MRgFUS"]
def welcome(self):
print("Thanks for stopping by, have fun!")
kangyans = BMEer()
kangyans.welcome()- Optimization of MR acoustic radiation force imaging (MR-ARFI) for human transcranial focused ultrasound
- MR-Cavitation Dynamics Encoded (MR-CaDE) imaging
- Open-source implementation of X-nuclear sequences using the Pulseq framework
- A correction for modeling radial, spiral, and PROPELLER dynamic contrast-enhanced data: Time-averaged extended Tofts
- Referenceless 4D flow MRI using radial balanced SSFP at 0.6 T
- Elastographic magnetization prepared imaging with rapid encoding
- A straightforward approach for 3D single-shot arterial spin labeling-based brain perfusion imaging: Preventing artifacts due to signal fluctuations
- Simultaneous multislice diffusion imaging using navigator-free multishot spiral acquisitions
- Three-dimensional high-isotropic-resolution MR fingerprinting optimized for 0.55βT
- Spiral cardiac quantitative susceptibility mapping for differential cardiac chamber oxygenation-Initial validation in relation to invasive blood sampling
- Navigator-free multi-shot diffusion MRI via non-local low-rank reconstruction
- Referenceless 4D flow MRI using radial balanced SSFP at 0.6 T
- Denoising complex-valued diffusion MR images using a two-step, nonlocal principal component analysis approach
- Toward optimal inline respiratory motion correction for in vivo cardiac diffusion tensor MRI using symmetric and inverse-consistent deformable image registration
- 3D joint T1/T1 Ο/T2 mapping and water-fat imaging for contrast-agent free myocardial tissue characterization at 1.5T
- Rapid quantitative MRI at 46 mT: Accelerated T(1) and T(2) mapping with low-rank reconstructions
- Quantifying spatial and dynamic lung abnormalities with 3D PREFUL FLORET UTE imaging: A feasibility study
- 3D deuterium metabolic imaging (DMI) of the human liver at 7 T using low-rank and subspace model-based reconstruction
- Low-rank iterative infilling for zero echo-time (ZTE) imaging
- A charge reversal approach for the sensitive quantification of dicarboxylic acids using Liquid chromatography-tandem mass spectrometry