Paper-Conference

Brain Matters: Exploring Bias in AI for Neuroimaging Research
Developing fair and unbiased models is important for good scientific practice and clinical utility. This paper delves into the specific …
Cite DOI
Interpretable Alzheimer’s Disease Classification Via a Contrastive Diffusion Autoencoder
A diffusion autoencoder coupled with a contrastive loss is used to produce accurate and interpretable MR image classifications of Alzheimer’s Disease.
PDF Cite Project