4 accepted papers
Although recent years have witnessed significant advancements in medical image segmentation, the pervasive issue of domain shift among medical images from diverse centres hinders the effective deployment of pre-trained models. Many Test-time Adaptation (TTA) methods have been proposed to address thi…
Alzheimer's disease (AD) leads to abnormalities in various biomarkers (i.e., amyloid-β and tau proteins), which makes PET imaging (which can detect these biomarkers) essential in AD diagnosis. However, the high radiation risk of PET imaging limits its scanning number within a short period, presentin…
Distribution shift widely exists in medical images acquired from different medical centres and poses a significant obstacle to deploying the pre-trained semantic segmentation model in real-world applications. Test-time adaptation has proven its effectiveness in tackling the cross-domain distribution…
Deposition of β-amyloid is a crucial biomarker to evaluate subjects with early-onset dementia, often evaluated through Aβ-PET imaging. Aβ-PET is expensive and radiation-heavy; thus, it’s advisable to avoid it unless medically necessary. Therefore there is a compelling need to classify Aβ and detect…