Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Showing 1765-1785 of 2,458 articles
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization

Domain generalization is proposed to address distribution shift, arising from statistical disparit...

End-to-End Deep Learning for Real-Time Neuroimaging-Based Assessment of Bimanual Motor Skills

The real-time assessment of complex motor skills presents a challenge in fields such as surgical t...

Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection

The CLIP model has demonstrated significant advancements in aligning visual and language modalitie...

Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation

In this paper, we propose Jasmine, the first Stable Diffusion (SD)-based self-supervised framework...

Am I eligible? Natural Language Inference for Clinical Trial Patient Recruitment: the Patient's Point of View

Recruiting patients to participate in clinical trials can be challenging and time-consuming. Usual...

Real-world validation of a multimodal LLM-powered pipeline for High-Accuracy Clinical Trial Patient Matching leveraging EHR data

Background: Patient recruitment in clinical trials is hindered by complex eligibility criteria and...

Robust Object Detection of Underwater Robot based on Domain Generalization

Object detection aims to obtain the location and the category of specific objects in a given image...

Involution and BSConv Multi-Depth Distillation Network for Lightweight Image Super-Resolution

Single Image Super-Resolution (SISR) aims to reconstruct high-resolution (HR) images from low-reso...

Revisiting Image Fusion for Multi-Illuminant White-Balance Correction

White balance (WB) correction in scenes with multiple illuminants remains a persistent challenge i...

Shift, Scale and Rotation Invariant Multiple Object Detection using Balanced Joint Transform Correlator

The Polar Mellin Transform (PMT) is a well-known technique that converts images into shift, scale ...

Fire and Smoke Datasets in 20 Years: An In-depth Review

Fire and smoke phenomena pose a significant threat to the natural environment, ecosystems, and glo...

Container late-binding in unprivileged dHTC pilot systems on Kubernetes resources

The scientific and research community has benefited greatly from containerized distributed High Th...

DehazeMamba: SAR-guided Optical Remote Sensing Image Dehazing with Adaptive State Space Model

Optical remote sensing image dehazing presents significant challenges due to its extensive spatial...

Federated Learning with Domain Shift Eraser

Federated learning (FL) is emerging as a promising technique for collaborative learning without lo...

Pairwise Similarity Regularization for Semi-supervised Graph Medical Image Segmentation

With fully leveraging the value of unlabeled data, semi-supervised medical image segmentation algo...

ECLARE: Efficient cross-planar learning for anisotropic resolution enhancement

In clinical imaging, magnetic resonance (MR) image volumes are often acquired as stacks of 2D slic...

Integrating LLMs in Gamified Systems

In this work, a thorough mathematical framework for incorporating Large Language Models (LLMs) int...

FlowTok: Flowing Seamlessly Across Text and Image Tokens

Bridging different modalities lies at the heart of cross-modality generation. While conventional a...

Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning

In safe reinforcement learning, agent needs to balance between exploration actions and safety cons...

Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes

We propose a diffusion-based inverse rendering framework that decomposes a single RGB image into g...

Long-horizon Visual Instruction Generation with Logic and Attribute Self-reflection

Visual instructions for long-horizon tasks are crucial as they intuitively clarify complex concept...

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