Daguang Xu

16

Papers

87

Total Citations

Papers (16)

VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge

PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation

DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation

GradViT: Gradient Inversion of Vision Transformers

HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation

Fair Federated Medical Image Segmentation via Client Contribution Estimation

An Alarm System for Segmentation Algorithm Based on Shape Model

T-AutoML: Automated Machine Learning for Lesion Segmentation Using Transformers in 3D Medical Imaging

Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples

Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation

MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models