Chen Qin | DeepAI

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Wei Li
286 publications
Daniel Rueckert
199 publications
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106 publications
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Ben Glocker
95 publications
Ronald M. Summers
72 publications
Jian Liang
68 publications
Chen Chen
59 publications
Sotirios A Tsaftaris
49 publications
Wenjia Bai
37 publications
Konstantinos Kamnitsas
30 publications

∙ 05/30/2023

Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation

This paper presents an effective and general data augmentation framework...

0 Zeju Li, et al. ∙

∙ 03/19/2023

Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization

Deep learning-based image registration approaches have shown competitive...

0 Yinsong Wang, et al. ∙

∙ 09/21/2022

Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance

Artificial intelligence (AI) and Machine Learning (ML) have shown great ...

0 Chen Qin, et al. ∙

∙ 07/29/2022

MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI

Recovering the 3D motion of the heart from cine cardiac magnetic resonan...

7 Qingjie Meng, et al. ∙

∙ 03/15/2022

Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification

Data augmentation has been widely used in deep learning to reduce over-f...

3 Tian Xia, et al. ∙

∙ 03/11/2022

Hybrid Artifact Detection System for Minute Resolution Blood Pressure Signals from ICU

Physiological monitoring in intensive care units generates data that can...

0 Hollan Haule, et al. ∙

∙ 12/07/2021

GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration

We present a Gradient Descent-based Image Registration Network (GraDIRN)...

2 Huaqi Qiu, et al. ∙

∙ 08/12/2021

Semantic Concentration for Domain Adaptation

Domain adaptation (DA) paves the way for label annotation and dataset bi...

2 Shuang Li, et al. ∙

∙ 12/13/2020

Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation

Unsupervised domain adaptation challenges the problem of transferring kn...

6 Shuang Li, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 08/20/2019

Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image

Accelerating the acquisition of magnetic resonance imaging (MRI) is a ch...

4 Chen Qin, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 03/22/2019

Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations

We propose a fully unsupervised multi-modal deformable image registratio...

0 Chen Qin, et al. ∙

∙ 08/01/2018

Recurrent neural networks for aortic image sequence segmentation with sparse annotations

Segmentation of image sequences is an important task in medical image an...

6 Wenjia Bai, et al. ∙

∙ 06/11/2018

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

Cardiac motion estimation and segmentation play important roles in quant...

0 Chen Qin, et al. ∙

∙ 12/05/2017

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

Accelerating the data acquisition of dynamic magnetic resonance imaging ...

0 Chen Qin, et al. ∙

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