MungoMeng
I am a Ph.D. candidate at USYD. The current research focus is deep learning in medical image analysis.
The University of SydneySydney, NSW, Australia
Pinned Repositories
Panorama-OpticalFlow
Panorama stitching based on asymmetric bidirectional optical flow
Registration-AAN
AAN: Appearance Adjustment Networks to enhance deep learning-based image registration
Registration-AutoFuse
AutoFuse: Automatic Fusion Networks for Unsupervised and Semi-supervised Medical Image Registration
Registration-CorrMLP
[CVPR2024 Oral && Best Paper Candidate] CorrMLP: Correlation-aware MLP-based networks for deformable medical image registration
Registration-NICE-Net
[MICCAI2022] NICE-Net: Non-Iterative Coarse-to-finE registration Networks for deformable image registration
Registration-NICE-Trans
[MICCAI2023] NICE-Trans: Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
Spiking-Inception
Spiking Inception architecture for unsupervised Spiking Neural Networks
Survival-AdaMSS
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction
Survival-DeepMTS
DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation
Survival-XSurv
[MICCAI2023] XSurv: Merging-Diverging Hybrid Transformer Networks for Survival Prediction
MungoMeng's Repositories
MungoMeng/Panorama-OpticalFlow
Panorama stitching based on asymmetric bidirectional optical flow
MungoMeng/Registration-CorrMLP
[CVPR2024 Oral && Best Paper Candidate] CorrMLP: Correlation-aware MLP-based networks for deformable medical image registration
MungoMeng/Survival-DeepMTS
DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation
MungoMeng/Registration-NICE-Net
[MICCAI2022] NICE-Net: Non-Iterative Coarse-to-finE registration Networks for deformable image registration
MungoMeng/Registration-NICE-Trans
[MICCAI2023] NICE-Trans: Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
MungoMeng/Registration-AAN
AAN: Appearance Adjustment Networks to enhance deep learning-based image registration
MungoMeng/Spiking-Inception
Spiking Inception architecture for unsupervised Spiking Neural Networks
MungoMeng/Registration-AutoFuse
AutoFuse: Automatic Fusion Networks for Unsupervised and Semi-supervised Medical Image Registration
MungoMeng/Survival-AdaMSS
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction
MungoMeng/Survival-XSurv
[MICCAI2023] XSurv: Merging-Diverging Hybrid Transformer Networks for Survival Prediction
MungoMeng/DensePred-FullMLP
An Empirical Investigation of MLPs in Medical Image Dense Prediction
MungoMeng/mungomeng.github.io
Mingyuan Meng - Academic Homepage