411 citations · 1.6k across the 30 of their papers we have counts for
30 papers
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation
Cheng Chen, Juzheng Miao, Dufan Wu +10
The Segment Anything Model (SAM), a foundation model for general image segmentation, has demonstrated impressive zero-shot performance across numerous natural image segmentation ta…
TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models
Yue Huang, Qihui Zhang, Philip S. Y +1
Large Language Models (LLMs) such as ChatGPT, have gained significant attention due to their impressive natural language processing capabilities. It is crucial to prioritize human-…
Scalable Fair Influence Maximization
Xiaobin Rui, Zhixiao Wang, Jiayu Zhao +2
Given a graph , a community structure , and a budget , the fair influence maximization problem aims to select a seed set () that maximizes the inf…
Decentralized Federated Learning: A Survey and Perspective
Liangqi Yuan, Ziran Wang, Lichao Sun +2
Federated learning (FL) has been gaining attention for its ability to share knowledge while maintaining user data, protecting privacy, increasing learning efficiency, and reducing…
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks
Kai Zhang, Rong Zhou, Eashan Adhikarla +20
Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or modalities, often exhibit limited flexibility in real-world deployment and struggle to ut…
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
Wenxuan Wang, Jing Wang, Chen Chen +4
The research community has witnessed the powerful potential of self-supervised Masked Image Modeling (MIM), which enables the models capable of learning visual representation from…