2 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…
stat.ME2024
Bayesian thresholded modeling for integrating brain node and network predictors
Zhe Sun, Wanwan Xu, Tianxi Li +3
Progress in neuroscience has provided unprecedented opportunities to advance our understanding of brain alterations and their correspondence to phenotypic profiles. With data colle…