Yunguan Fu | DeepAI

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Featured Co-authors

Sébastien Ourselin
88 publications
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85 publications
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82 publications
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Tom Vercauteren
65 publications
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64 publications
Danail Stoyanov
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Dong Yang
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Yipeng Hu
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M. Jorge Cardoso
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Daniel C. Alexander
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∙ 03/12/2023

Spatial Correspondence between Graph Neural Network-Segmented Images

Graph neural networks (GNNs) have been proposed for medical image segmen...

1 Qian Li, et al. ∙

∙ 03/10/2023

Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation

Recently, denoising diffusion probabilistic models (DDPM) have been appl...

12 Yunguan Fu, et al. ∙

∙ 12/03/2022

Active learning using adaptable task-based prioritisation

Supervised machine learning-based medical image computing applications n...

4 Shaheer U. Saeed, et al. ∙

∙ 11/04/2022

MONAI: An open-source framework for deep learning in healthcare

Artificial Intelligence (AI) is having a tremendous impact across most a...

6 M. Jorge Cardoso, et al. ∙

∙ 09/12/2022

Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration

The prowess that makes few-shot learning desirable in medical image anal...

13 Yiwen Li, et al. ∙

∙ 07/26/2022

Cross-Modality Image Registration using a Training-Time Privileged Third Modality

In this work, we consider the task of pairwise cross-modality image regi...

5 Qianye Yang, et al. ∙

∙ 03/27/2022

Image quality assessment for machine learning tasks using meta-reinforcement learning

In this paper, we consider image quality assessment (IQA) as a measure o...

6 Shaheer U. Saeed, et al. ∙

∙ 02/20/2022

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation

Image quality assessment (IQA) in medical imaging can be used to ensure ...

2 Shaheer U. Saeed, et al. ∙

∙ 01/17/2022

Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning

The ability to adapt medical image segmentation networks for a novel cla...

6 Yiwen Li, et al. ∙

∙ 10/22/2021

Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes

Despite the success of deep learning methods for semantic segmentation, ...

7 Yiwen Li, et al. ∙

∙ 02/15/2021

Learning image quality assessment by reinforcing task amenable data selection

In this paper, we consider a type of image quality assessment as a task-...

9 Shaheer U. Saeed, et al. ∙

∙ 01/16/2021

Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation

Organ morphology is a key indicator for prostate disease diagnosis and p...

21 Qianye Yang, et al. ∙

∙ 11/04/2020

DeepReg: a deep learning toolkit for medical image registration

DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...

31 Yunguan Fu, et al. ∙

∙ 08/29/2020

Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination

Morphological analysis of longitudinal MR images plays a key role in mon...

18 Qianye Yang, et al. ∙

∙ 08/20/2019

More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation

Improving a semi-supervised image segmentation task has the option of ad...

21 Yunguan Fu, et al. ∙

∙ 07/04/2018

Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization

Adversarial self-play in two-player games has delivered impressive resul...

2 Alexandre Laterre, et al. ∙