Picture for Ting Ma

Ting Ma

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

Add code
Dec 29, 2023
Viaarxiv icon

A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation

Add code
Oct 27, 2023
Figure 1 for A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Figure 2 for A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Figure 3 for A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Figure 4 for A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Viaarxiv icon

NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation

Add code
May 25, 2023
Figure 1 for NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
Figure 2 for NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
Figure 3 for NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
Figure 4 for NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
Viaarxiv icon

DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features

Add code
Feb 28, 2023
Figure 1 for DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features
Figure 2 for DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features
Figure 3 for DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features
Figure 4 for DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features
Viaarxiv icon

Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation

Add code
Oct 27, 2022
Figure 1 for Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
Figure 2 for Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
Figure 3 for Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
Figure 4 for Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
Viaarxiv icon

Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification

Add code
Oct 25, 2022
Figure 1 for Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification
Figure 2 for Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification
Figure 3 for Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification
Figure 4 for Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification
Viaarxiv icon

Estimating Brain Age with Global and Local Dependencies

Add code
Sep 19, 2022
Figure 1 for Estimating Brain Age with Global and Local Dependencies
Figure 2 for Estimating Brain Age with Global and Local Dependencies
Figure 3 for Estimating Brain Age with Global and Local Dependencies
Viaarxiv icon

Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net

Add code
Sep 15, 2021
Figure 1 for Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net
Figure 2 for Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net
Figure 3 for Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net
Figure 4 for Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net
Viaarxiv icon

Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning

Add code
Mar 01, 2021
Figure 1 for Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning
Figure 2 for Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning
Figure 3 for Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning
Figure 4 for Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning
Viaarxiv icon