Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
While Vision-Language Models (VLMs) exhibit exceptional 2D visual understanding, their ability to co...
Phenotyping is fundamental to rare disease diagnosis, but manual curation of structured phenotypes f...
Inverse problems in imaging are ill-posed, leading to infinitely many solutions consistent with the ...
Visual loco-manipulation of arbitrary objects in the wild with humanoid robots requires accurate end...
Minutiae extraction, a fundamental stage in fingerprint recognition, is increasingly shifting toward...
Whole slide images (WSIs) are the gold standard for pathological diagnosis and sub-typing. Current m...
Object-level manipulation, relocating or reorienting objects in images or videos while preserving sc...
Metaphorical comprehension in images remains a critical challenge for Nowadays AI systems. While Mul...
OBJECTIVES Osteoarthritis is a heterogeneous disease, with diverse structural patterns likely reflec...
End-to-end autonomous driving systems have achieved significant progress, yet their adversarial robu...
Decision-making in drug development spans heterogeneous stages from molecular design to clinical opt...
Optical coherence tomography (OCT) has revolutionized retinal disease diagnosis with its high-resolu...
Inverse scattering in optical coherence tomography (OCT) seeks to recover both structural images and...
Purpose: Ventilator-associated pneumonia (VAP) remains one of the most serious hospital-acquired inf...
The development of large vision language models drives the demand for managing, and applying massive...
Charts are a fundamental visualization format for structured data analysis. Enabling end-to-end char...
End-to-end perception and trajectory prediction from raw sensor data is one of the key capabilities ...
World generation is a fundamental capability for applications like video games, simulation, and robo...
Accurate pose estimation underpins quantitative analysis of behavior, yet many deep learning-based t...
Background: Accurate determination of genomic biomarkers from tumor sequencing is fundamental to pre...
We investigate whether temporal embedding models trained on longitudinal electronic health records c...