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()- Real-time cardiac cine MRI: A comparison of a diffusion probabilistic model with alternative state-of-the-art image reconstruction techniques for undersampled spiral acquisitions
- MRI-based quantification of whole-organ renal metabolic rate of oxygen during free-breathing
- A retraced spiral strategy with semi-automatic deblurring for volumetric thermometry
- 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
- Compressed sensing acceleration of radial 3-D alternating Look-Locker <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> mml:mrow mml:msubmml:mrowmml:miT</mml:mi></mml:mrow> mml:mrowmml:mn1</mml:mn></mml:mrow> </mml:msub> </mml:mrow> </mml:math> mapping
- Simultaneous T1, T2, and T1ฯ mapping of the myocardium using cardiac MR fingerprinting with a deep image prior reconstruction
- 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 ฯ/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