b'Jinming Duan'

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Featured Co-authors

Wei Chen
332 publications
Daniel Rueckert
199 publications
Huazhu Fu
108 publications
Ronald M. Summers
72 publications
Linlin Shen
71 publications
Yike Guo
67 publications
Jiang Liu
66 publications
Feng Zheng
64 publications
Aleš Leonardis
63 publications
Chen Chen
59 publications
Jun Cheng
44 publications

research

∙ 07/06/2023

Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D Medical Image Registration

U-Net style networks are commonly utilized in unsupervised image registr...

0 Xi Jia, et al. ∙

research

∙ 03/22/2023

Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline

Existing audio-visual event localization (AVE) handles manually trimmed ...

0 Tiantian Geng, et al. ∙

research

∙ 11/29/2022

Fourier-Net: Fast Image Registration with Band-limited Deformation

Unsupervised image registration commonly adopts U-Net style networks to ...

0 Xi Jia, et al. ∙

research

∙ 08/07/2022

U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?

Due to their extreme long-range modeling capability, vision transformer-...

0 Xi Jia, et al. ∙

research

∙ 05/25/2022

Structure Unbiased Adversarial Model for Medical Image Segmentation

Generative models have been widely proposed in image recognition to gene...

0 Tianyang Zhang, et al. ∙

research

∙ 10/06/2021

Accelerated First Order Methods for Variational Imaging

In this thesis, we offer a thorough investigation of different regularis...

0 Joseph Bartlett, et al. ∙

research

∙ 09/26/2021

Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Deterministic approaches using iterative optimisation have been historic...

0 Alexander Thorley, et al. ∙

research

∙ 05/25/2021

Learning a Model-Driven Variational Network for Deformable Image Registration

Data-driven deep learning approaches to image registration can be less a...

7 Xi Jia, et al. ∙

research

∙ 03/12/2021

FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism

In this paper, we focus on category-level 6D pose and size estimation fr...

8 Wei Chen, et al. ∙

research

∙ 07/19/2020

Geometry Constrained Weakly Supervised Object Localization

We propose a geometry constrained network, termed GC-Net, for weakly sup...

11 Weizeng Lu, et al. ∙

research

∙ 07/12/2020

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction

We present a deep network interpolation strategy for accelerated paralle...

1 Chen Qin, et al. ∙

research

∙ 03/24/2020

G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features

In this paper, we propose a novel real-time 6D object pose estimation fr...

1 Wei Chen, et al. ∙

research

∙ 12/18/2019

Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction

Purpose: To systematically investigate the influence of various data con...

24 Kerstin Hammernik, et al. ∙

research

∙ 12/11/2019

Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction

We explore an ensembled Σ-net for fast parallel MR imaging, including pa...

0 Jo Schlemper, et al. ∙

research

∙ 11/09/2019

Deep learning for cardiac image segmentation: A review

Deep learning has become the most widely used approach for cardiac image...

95 Chen Chen, et al. ∙

research

∙ 09/25/2019

Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction

We present simple reconstruction networks for multi-coil data by extendi...

15 Jo Schlemper, et al. ∙

research

∙ 09/24/2019

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance

AUTOMAP is a promising generalized reconstruction approach, however, it ...

30 Jo Schlemper, et al. ∙

research

∙ 07/22/2019

k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations

Dynamic magnetic resonance imaging (MRI) exhibits high correlations in k...

5 Chen Qin, et al. ∙

research

∙ 07/19/2019

VS-Net: Variable splitting network for accelerated parallel MRI reconstruction

In this work, we propose a deep learning approach for parallel magnetic ...

2 Jinming Duan, et al. ∙

research

∙ 07/05/2019

Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation

Deep learning models trained on medical images from a source domain (e.g...

7 Cheng Ouyang, et al. ∙

research

∙ 07/05/2019

Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction

In the recent years, convolutional neural networks have transformed the ...

6 Wenjia Bai, et al. ∙

research

∙ 06/28/2019

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling

Quantification of anatomical shape changes still relies on scalar global...

1 Carlo Biffi, et al. ∙

research

∙ 06/03/2019

A new nonlocal forward model for diffuse optical tomography

The forward model in diffuse optical tomography (DOT) describes how ligh...

0 Wenqi Lu, et al. ∙

research

∙ 01/07/2019

Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography

Total variation (TV) is a powerful regularization method that has been w...

0 Wenqi Lu, et al. ∙

research

∙ 10/08/2018

Deep learning cardiac motion analysis for human survival prediction

Motion analysis is used in computer vision to understand the behaviour o...

4 Ghalib A. Bello, et al. ∙

research

∙ 08/26/2018

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach

Deep learning approaches have achieved state-of-the-art performance in c...

0 Jinming Duan, et al. ∙

research

∙ 08/08/2018

OCT segmentation: Integrating open parametric contour model of the retinal layers and shape constraint to the Mumford-Shah functional

In this paper, we propose a novel retinal layer boundary model for segme...

2 Jinming Duan, et al. ∙

research

∙ 07/27/2018

Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension

In this paper we introduce a novel and accurate optimisation method for ...

12 Jinming Duan, et al. ∙

research

∙ 09/27/2016

Tensor Based Second Order Variational Model for Image Reconstruction

Second order total variation (SOTV) models have advantages for image rec...

0 Jinming Duan, et al. ∙

research

∙ 09/07/2016

Automated Segmentation of Retinal Layers from Optical Coherent Tomography Images Using Geodesic Distance

Optical coherence tomography (OCT) is a non-invasive imaging technique t...

0 Jinming Duan, et al. ∙

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