Dong Yang

16

Papers

67

Total Citations

Papers (16)

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

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

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

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

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images

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

I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-Fidelity 3D Hand Mesh Modeling

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

Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples

Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging

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

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