Search Results for author:
Found 6 papers, 1 papers with code
Why is the winner the best?
The "typical" lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning.
Extending nn-UNet for brain tumor segmentation
Brain tumor segmentation is essential for the diagnosis and prognosis of patients with gliomas.
Data-driven MHD simulation of successive solar plasma eruptions
We developed a data-driven method in which temporal evolutions of the observational vector magnetic field can be reproduced at the bottom boundary in the simulation by introducing an inverted velocity field.
Time Series Analysis
Solar and Stellar Astrophysics
CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN
In contrast to the conventional cycleGAN, our novel cycleGAN has only one generator and one discriminator thanks to the known dipole kernel.
An Observational Test of Solar Plasma Heating by Magnetic Flux Cancellation
The observed cancellation event exhibits a converging motion of two opposite-polarity magnetic patches on the photosphere and red-shifted Doppler velocities (downflows) therein consistently over the target interval, with a decrease in magnetic flux of both polarities at a rate of 10$^{15}$ Mx s$^{-1}$.
Solar and Stellar Astrophysics Space Physics
Quantitative Susceptibility Map Reconstruction Using Annihilating Filter-based Low-Rank Hankel Matrix Approach
Quantitative susceptibility mapping (QSM) inevitably suffers from streaking artifacts caused by zeros on the conical surface of the dipole kernel in k-space.
