3 papers
eess.IV2025
Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks
Binghua Li, Ziqing Chang, Tong Liang +5
We address the challenge of parameter-efficient fine-tuning (PEFT) for three-dimensional (3D) U-Net-based denoising diffusion probabilistic models (DDPMs) in magnetic resonance ima…
physics.med-ph2024
Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer
Tianxiang Lyu, Wataru Uchida, Zhe Sun +9
The amount of Magnetic resonance imaging data has grown tremendously recently, creating an urgent need to accelerate data processing, which requires substantial computational resou…
cs.DC2024
CORTEX: Large-Scale Brain Simulator Utilizing Indegree Sub-Graph Decomposition on Fugaku Supercomputer
Tianxiang Lyu, Mitsuhisa Sato, Shigeki Aoki +2
We introduce CORTEX, an algorithmic framework designed for large-scale brain simulation. Leveraging the computational capacity of the Fugaku Supercomputer, CORTEX maximizes availab…