Latest AI and machine learning research in transplantation for healthcare professionals.
Medical imaging is essential in modern radiotherapy, supporting diagnosis, treatment planning, and...
Privacy concerns in machine learning are heightened by regulations such as the GDPR, which enforce...
Traditional evaluations of multimodal large language models (LLMs) have been limited by their focu...
Existing communication systems aim to reconstruct the information at the receiver side, and are kn...
In the event of a nuclear accident, or the detonation of a radiological dispersal device, quickly ...
Over 10,000 candidates wait for a kidney transplantation in Eurotransplant, and are prioritized fo...
Vision foundation models (VFMs) are pre-trained on extensive image datasets to learn general repre...
Large Multimodal Models (LMMs), or Vision-Language Models (VLMs), have shown impressive capabiliti...
Biomedical knowledge graphs (KGs) encode rich, structured information critical for drug discovery ...
Diffusion policies have shown promise in learning complex behaviors from demonstrations, particula...
Out-of-distribution (OOD) detection is crucial in AI-driven medical imaging to ensure reliability ...
Single camera 3D perception for traffic monitoring faces significant challenges due to occlusion a...
This paper presents a comparative study of three advanced control strategies for a single-machine ...
Recent advancements in camera-trajectory-guided image-to-video generation offer higher precision a...
Acute allograft rejection in patients undergoing renal transplantation is diagnosed through histopat...
How to recommend outfits has gained considerable attention in both academia and industry in recent...
The choroid, a highly vascular layer behind the retina, is an extension of the central nervous sys...
By monitoring temporal contrast, event-based vision sensors can provide high temporal resolution a...
Users generally exhibit complex behavioral patterns and diverse intentions in multiple business sc...
The field of fashion compatibility learning has attracted great attention from both the academic a...
Collocated clothing synthesis using generative networks has become an emerging topic in the field ...