Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Understanding and modeling how a single human genome concurrently encodes gene regulatory programs f...
Generative posterior sampling using diffusion models has emerged as a dominant paradigm for solving ...
Style transfer with pre-trained diffusion models has advanced rapidly, but a core question remains u...
Accurate interpretation of street-level imagery is essential for large-scale urban mapping and the c...
Public datasets such as DLC-2021, SynID, and KID34K have significantly contributed to research on pr...
Parameter-efficient adaptation of vision-language foundation models is crucial for precise multimoda...
Consistent 3D geometry estimation from streaming RGB input is crucial for real-world applications su...
Sparse-view 3D reconstruction is increasingly addressed with feed-forward splatting networks that pr...
Background: Professionalism and effective communication are foundational determinants of patient saf...
Three-dimensional (3D) histopathology of unprocessed tissues has the potential to transform disease ...
Diffusion Transformers (DiTs) achieve superior image generation quality but suffer from quadratic co...
Recent healthcare foundation models have achieved strong predictive performance through large scale ...
Video diffusion models have recently enabled high-quality video generation with ViT-based architectu...
Despite rapid advances in text-to-image generation, faithfully realizing user intent remains challen...
Uncertainty quantification (UQ) is critical for safety-critical domains like healthcare, yet it is r...
We present Lance, a lightweight native unified model supporting multimodal understanding, generation...
Large Language Models (LLMs) generate realistic synthetic data but offer no guarantee that their out...
Objectives To evaluate whether class-conditional conformal prediction (CP) can provide reliable unce...
Machine-learning surrogate models are positioned to help optimize deep brain stimulation (DBS) usage...
Continually pre-training a large language model on heterogeneous text domains, without replay or tas...
Background: The pivot shift (PS) test is the most specific clinical examination for anterolateral ro...