Latest AI and machine learning research in cultural competence for healthcare professionals.
The evaluation of fairness in machine learning systems has become a central concern in high-stakes a...
In clinical practice, the robustness of deep learning models for multimodal brain tumor segmentation...
Semantic segmentation of histopathology images under class imbalance is typically addressed through ...
In computer vision, a prevailing method for quantifying dataset bias is to train a model to distingu...
Watermarking is becoming the default mechanism for AI content authentication, with governance polici...
We present SparseGen, a novel framework for efficient image-to-3D generation, which exhibits low inp...
In this study, we investigate gender bias in a Retrieval-Augmented Generation (RAG) based AI assista...
In recent years, the rapid development of generative artificial intelligence technology has signific...
Text-to-image (T2I) generative models achieve impressive visual fidelity but inherit and amplify dem...
We address the problem of tactile localization, where the goal is to identify image regions that sha...
Cell state diversity drives tissue adaptability, repair, and disease resilience, but fully capturing...
Referring Expression Segmentation (RES) aims to segment image regions described by natural-language ...
Ensuring fairness in machine learning predictions is a critical challenge, especially when models ar...
Recent research has shown that contrastive vision-language models such as CLIP often lack fine-grain...
Modern Text-to-Image (T2I) diffusion models have achieved remarkable semantic alignment, yet they of...
The rapid proliferation of AI-generated images, powered by generative adversarial networks (GANs), d...
Background: Large language models (LLMs) have been evaluated as tools to assist rare disease diagnos...
Multimodal Large Language Models (MLLMs) have recently been explored as face verification systems th...
Recent research has shown that text-to-image diffusion models are capable of generating high-quality...
The expansion of generative AI and LLM services underscores the growing need for adaptive mechanisms...
Autoregressive (AR) models are highly effective for image generation, yet their standard maximum-lik...