Latest AI and machine learning research in geriatrics for healthcare professionals.
Precise Event Spotting (PES) aims to identify events and their class from long, untrimmed videos, ...
The role of artificial intelligence (AI) in pathology has evolved from aiding diagnostics to uncov...
Simulating prospective magnetic resonance imaging (MRI) scans from a given individual brain image ...
The signature kernel is a recent state-of-the-art tool for analyzing high-dimensional sequential d...
In autonomous driving, dynamic environment and corner cases pose significant challenges to the rob...
Rehabilitation is essential and critical for post-stroke patients, addressing both physical and co...
In the field of image-based drug discovery, capturing the phenotypic response of cells to various ...
Imitation learning has proven to be highly effective in teaching robots dexterous manipulation ski...
Dementia is a progressive cognitive syndrome with Alzheimer's disease (AD) as the leading cause. C...
Detecting impact where an individual makes contact with the ground within a fall event is crucial ...
An efficient attention implementation is essential for large models due to its quadratic time comp...
Purpose: To evaluate the accuracy and reasoning ability of DeepSeek-R1 and three other recently re...
Automated planning is traditionally the domain of experts, utilized in fields like manufacturing a...
Alzheimer's disease (AD) classification models usually segment the entire brain image into voxel blo...
Long-context Multimodal Large Language Models (MLLMs) that incorporate long text-image and text-vi...
Automated chart summarization is crucial for enhancing data accessibility and enabling efficient i...
Room layout estimation from multiple-perspective images is poorly investigated due to the complexi...
Brain imaging analysis is fundamental in neuroscience, providing valuable insights into brain stru...
Home-based single-lead AI-ECG devices have enabled continuous, real-world cardiac monitoring. Howe...
Over 10,000 candidates wait for a kidney transplantation in Eurotransplant, and are prioritized fo...
Existing Large Vision-Language Models (LVLMs) can process inputs with context lengths up to 128k v...