Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Diffusion models are a powerful generative paradigm used across multimedia and scientific applicatio...
End-to-end accuracy on compositional tasks records how often MLLMs fail, but cannot distinguish whet...
Quantum Generative Adversarial Networks (QGANs) have emerged as representative generative models in ...
Latent Diffusion Models (LDMs) typically adopt a two-stage pipeline: an auto-encoder (AE) is first p...
Emerging optical-network applications increasingly use received data for inference and control rathe...
Clinical CT and UHRCT cannot resolve individual trabeculae, whereas synchrotron radiation microCT (S...
Clinical CT and UHRCT cannot resolve individual trabeculae, whereas synchrotron radiation microCT (S...
Driving decisions depend on both where to focus and how to act on what is seen. Effective driving re...
Background and purpose: Accurate identification of cardiac MRI volume orientations is essential for ...
Existing roadside traffic datasets support perception, forecasting, and visual question answering, b...
While various multimodal methods combining imaging and tabular data for Alzheimer's disease (AD) dia...
Neuroimaging foundation models pretrained on large, predominantly western cohorts are increasingly p...
Cardiovascular magnetic resonance (CMR) provides comprehensive cardiac assessment but remains underu...
Accurate traffic forecasting requires both understanding scene dynamics and synthesizing realistic f...
Learning large-scale vision-language-action (VLA) models from multi-embodiment datasets remains chal...
The rapid increase of deepfakes has raised significant concerns due to their spread on social media....
Accurate estimation of left ventricular ejection fraction (EF) from echocardiography is central to c...
Document parsing converts document images into structured content and requires reliable performance ...
The integration of large-scale foundation models with physical embodiments has led to significant ad...
UAV-borne imaging has advanced from megapixel to gigapixel sensors, shifting aerial perception from ...
Medical volume visualization requires selecting regions of interest (ROIs) and carefully controlling...