Name: Mingyuan Meng
Type: User
Company: The University of Sydney
Bio: I am a Ph.D. candidate at USYD. The current research focus is deep learning in medical image analysis.
Location: Sydney, NSW, Australia
Blog: https://scholar.google.com/citations?user=jBaR6EAAAAAJ
Mingyuan Meng's Projects
Full-resolution MLPs for medical dense prediction
Panorama stitching based on asymmetric bidirectional optical flow
AAN: Appearance Adjustment Networks to enhance deep learning-based image registration
AutoFuse: Automatic Fusion Networks for Unsupervised and Semi-supervised Medical Image Registration
[CVPR2024 Oral && Best Paper Candidate] CorrMLP: Correlation-aware MLP-based networks for deformable medical image registration
[MICCAI2022] NICE-Net: Non-Iterative Coarse-to-finE registration Networks for deformable image registration
[MICCAI2023] NICE-Trans: Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
Spiking Inception architecture for unsupervised Spiking Neural Networks
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction
DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation
[MICCAI2023] XSurv: Merging-Diverging Hybrid Transformer Networks for Survival Prediction