Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
End-to-end autonomous driving has achieved state-of-the-art performance on benchmarks and real-world...
This study proposes a sketch-to-simulation system to solve handwritten circuit diagrams. The system ...
Cloud-assisted image classification enables many mobile AI applications, but transmitting raw images...
Transcript-based de-identification protects textual records but leaves sensitive health information ...
Structural colour provides durable, pigment-free colouration by controlling the interaction of light...
Despite the remarkable generalization capabilities of Large Language Models, generating clinically a...
PURPOSE: To demonstrate an end-to-end research workflow combining a large electronic health record (...
Feed-forward 3D Gaussian Splatting (3DGS) methods enable efficient reconstruction of 3D scenes from ...
We present CommerceGen-Studio, an end-to-end framework for generating commercial-grade main images f...
Clinical screening for diabetic retinopathy proceeds in stages, yet most automated systems grade fun...
Closed-loop evaluation of end-to-end (E2E) driving systems typically relies on generating sensor obs...
End-to-end driving requires rich spatiotemporal representations to support scene understanding and t...
Recent image editing systems have achieved impressive semantic understanding, visual fidelity, and i...
End-to-end autonomous driving demands trajectory planners that are both highly accurate and cheap en...
National-scale magnetic resonance imaging (MRI) repositories increasingly integrate data from differ...
Conditional neural fields represent signals continuously, but their effectiveness depends on how the...
Extracting patient-specific vascular trees from volumetric medical images is fundamental to computat...
Greedy block-wise local learning splits a network into gradient-isolated blocks trained by local aux...
An organization often holds too little labeled data to train a model that generalizes, and the recor...
Category-level object pose estimation predicts the rotation, translation, and metric size of unseen ...
Counterfactual generation seeks to sample outcomes under a hypothetical intervention or decision usi...