Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Motion forecasting aims to predict the future trajectories of dynamic agents in the scene, enabling ...
Fetal ultrasound (US) is the primary imaging modality for prenatal screening, yet its interpretation...
Conventional clinical CMR pipelines rely on a sequential "reconstruct-then-analyze" paradigm, forcin...
Event cameras offer high temporal resolution and low latency, making them ideal sensors for high-spe...
Artificial intelligence-based radiation therapy (RT) planning has the potential to reduce planning t...
Large-scale biomedical vision-language models (VLMs) adapted on high-end imaging (e.g., CT) often fa...
Image-to-3D generation faces inherent semantic ambiguity under occlusion, where partial observation ...
Estimating the 6D pose of objects from a single RGB image is a critical task for robotics and extend...
Catheter-based interventions are widely used for the diagnosis and treatment of cardiac diseases. Re...
Rare diseases affect over 300 million people worldwide, yet patients often endure years-long diagnos...
Genomic selection (GS) has become the core driving force in modern plant and animal breeding. Howeve...
Classical radiomic features are designed to quantify image appearance and intensity patterns. Compar...
Inhibition is a core cognitive control function whose competence is distributed across the populatio...
Large visual language models (VLMs) have shown strong multi-modal medical reasoning ability, but mos...
Continuum robots possess high flexibility and redundancy, making them well suited for safe interacti...
Differential privacy (DP)'s effect in medical imaging is typically evaluated only through end-to-end...
Abiotic stresses are primary constraints on global crop productivity, reducing yields by up to 80%. ...
Small target detection in UAV imagery faces significant challenges such as scale variations, dense d...
Recent advances in 4D scene reconstruction have significantly improved dynamic modeling across vario...
Background: Objective Structured Clinical Examination (OSCE; Clinical Performance Examination [CPX] ...
Background: Although deep learning models have improved individual PET analysis, image processing an...