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cs.LG2024
ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation
Lujia Zhong, Shuo Huang, Yonggang Shi
Recently, deep learning has made remarkable strides, especially with generative modeling, such as large language models and probabilistic diffusion models. However, training these…
eess.IV2024
Diffusion Model-based FOD Restoration from High Distortion in dMRI
Shuo Huang, Lujia Zhong, Yonggang Shi
Fiber orientation distributions (FODs) is a popular model to represent the diffusion MRI (dMRI) data. However, imaging artifacts such as susceptibility-induced distortion in dMRI c…
eess.IV2024
Tau Anomaly Detection in PET Imaging via Bilateral-Guided Deterministic Diffusion Model
Lujia Zhong, Shuo Huang, Jiaxin Yue +4
The emergence of tau PET imaging over the last decade has enabled Alzheimer's disease (AD) researchers to examine tau pathology in vivo and more effectively characterize the diseas…