Latest AI and machine learning research in geriatrics for healthcare professionals.
Synapses are the fundamental units of neural computation, yet quantifying their organization across ...
Computational methods on analyzing Whole Slide Images (WSIs) enable early diagnosis and treatments b...
Disentangling pathological changes from physiological aging in 3D medical shapes is crucial for deve...
This dissertation investigates privacy-preserving federated learning for Alzheimer's disease classif...
While aging manifests differently across organs and individuals, existing approaches to measure it l...
In aging-in-place contexts, small difficulties in Activities of Daily Living (ADL) can accumulate, a...
Gait recognition is an emerging biometric technology that enables non-intrusive and hard-to-spoof hu...
Scene Text Image Super-Resolution (STISR) aims to restore high-resolution details in low-resolution ...
Existing text-to-video retrieval benchmarks are dominated by real-world footage where much of the se...
Percentage Brain Volume Change (PBVC) derived from Magnetic Resonance Imaging (MRI) is a widely used...
Collecting multiple types of data on the same set of subjects is common in modern scientific applica...
Targets supported by human genetic associations are more than twice as likely to progress from clini...
Longitudinal brain MRI is essential for characterizing the progression of neurological diseases such...
The automatic identification of cough segments in audio through the determination of start and end p...
Introduction Postoperative complications after major surgery have substantial impacts on morbidity a...
End-to-end In-Image Machine Translation (IIMT) aims to convert text embedded within an image into a ...
Breast ultrasound diagnosis typically proceeds from global lesion localization to local sign assessm...
Generative AI has advanced rapidly in medical report generation; however, its application to oral an...
Identifying new therapeutic uses for existing drugs is a major challenge in biomedicine, especially ...
We present an EEG-based approach to characterize disease-related spectro-temporal signatures in Alzh...
Osteoporosis is a skeletal disease typically diagnosed using dual-energy X-ray absorptiometry (DXA),...