Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
The safety of LLM-based agents currently rests on alignment training and safety classifiers, neither...
In recent years, persistent homology has seen rapid adoption in deep learning, yet its computation r...
Region-based neural style transfer enables fine-grained artistic control by allowing independent sty...
Lloyd's algorithm and the discrete local (D-local) optimization method (Li et al., 2025) for $k$-mea...
A model under pushback can correct itself, capitulate, or hold, and one flip rate counts a correctio...
Fisheye cameras give mobile robots a single-sensor, low-cost view of their surroundings, yet the COC...
Due to the gigapixel-scale nature of whole-slide images (WSIs), weakly supervised WSI analysis is co...
Background: Artificial intelligence (AI) is increasingly used in healthcare, but data on its real-wo...
Outliers are essential for evaluating and improving the robustness of machine learning systems, espe...
Open-vocabulary 3D segmentation localizes objects from free-form text queries, but remains challengi...
Diffusion models generate high-quality images, yet often violate the physical laws governing mirror ...
Automatic tooth segmentation and FDI numbering on panoramic radiographs underpins computer-assisted ...
Objective: We developed a data-efficient deep learning framework for three-dimensional segmentation ...
Medical image segmentation supports quantitative clinical analysis and computer-aided diagnosis. Rec...
Reliable temporal-difference targets are central to off-policy actor-critic learning. Direct value i...
Work zones alter lane geometry through temporary traffic controls and closures that may be absent fr...
Crystal-orientation maps are physical fields defined only up to crystal symmetry; electron backscatt...
Confidential serverless computing is rapidly emerg- ing as a critical paradigm for application domai...
While deep generative models offer new opportunities for medical image synthesis and data sharing, t...
Accurate segmentation of corneal layers in optical coherence tomography (OCT) is essential for quant...
Federated Learning (FL) with Differential Privacy (DP) is increasingly adopted to preserve data conf...