7 papers
When Is a Conformal Guarantee Fair? Auditing Silent Subgroup Under-Coverage in Alzheimer's Disease Longitudinal Prediction
Lujia Zhong, Xinkai Wang, Shuo Huang +1
Longitudinal prediction of Alzheimer's disease biomarkers increasingly informs clinical decisions, and a forecast is only useful if it also reports how much to trust it. Conformal…
A Surface-based Multimodal Framework for Multitask Analysis in Alzheimer's Disease
Shuo Huang, Jianwei Zhang, Lujia Zhong +4
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder, and longitudinal analysis is critical for early detection and effective intervention. Developing models capabl…
PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis
Lujia Zhong, Yihao Xia, Shuo Huang +2
Deep learning models in medical imaging typically operate as parametric memory, diagnosing patients by recalling fixed knowledge learned during training. This contrasts sharply wit…
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…
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…
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…