Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Deep learning methods based on Convolutional Neural Networks (CNNs) have shown great potential to ...
Cephalometric analysis is essential for the diagnosis and treatment planning of orthodontics. In l...
The Text-to-Image (T2I) diffusion model is one of the most popular models in the world. However, s...
The accelerated MRI reconstruction poses a challenging ill-posed inverse problem due to the signif...
Multi-modal Large Language Models (MLLMs) exhibit impressive capabilities in 2D tasks, yet encount...
The exponential growth of short-video content has ignited a surge in the necessity for efficient, ...
Objective: There exist several X-ray computed tomography (CT) scanning strategies to reduce a radi...
Motion-controllable image animation is a fundamental task with a wide range of potential applicati...
Reducing MRI scan times can improve patient care and lower healthcare costs. Many acceleration met...
An up-to-date city-scale lane-level map is an indispensable infrastructure and a key enabling tech...
Medical imaging is crucial for diagnosing, monitoring, and treating medical conditions. The medica...
Robotic grasping is one of the most fundamental robotic manipulation tasks and has been the subjec...
Dry matter intake (DMI) is a measure critical to managing and evaluating livestock. Methods exist fo...
Unmanned aerial vehicle object detection (UAV-OD) has been widely used in various scenarios. Howev...
In early detection of cancer, the use of circulating cell-free DNA (cirDNA) obtained from blood samp...
Large language model (LLM) agents hold promise for accelerating biomedical research and development ...
In cell biology, optical techniques are increasingly used to measure cells’ internal states (biosens...
Automated detection of complex animal behavior remains a challenge in neuroscience. Developments in ...
Gaining insight into the spectral and temporal alterations in brain connectivity associated with Alz...
Artificial intelligence (AI) is making notable advances in digital pathology but faces challenges in...
Nanopore sequencing technologies continue to advance rapidly, offering critical benefits such as rea...