b'Wenjia Bai'

Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation

Optimising the analysis of cardiac structure and function requires accur...
07/16/2021 ∙ by Nicolo' Savioli, et al. ∙ 5 ∙ share

read it
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling

Machine learning has been widely adopted for medical image analysis in r...
06/26/2020 ∙ by Chengliang Dai, et al. ∙ 0 ∙ share

read it
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction

Gliomas are the most common malignant brain tumourswith intrinsic hetero...
11/19/2019 ∙ by Shuo Wang, et al. ∙ 0 ∙ share

read it
Deep learning for cardiac image segmentation: A review

Deep learning has become the most widely used approach for cardiac image...
11/09/2019 ∙ by Chen Chen, et al. ∙ 95 ∙ share

read it
Transfer Learning from Partial Annotations for Whole Brain Segmentation

Brain MR image segmentation is a key task in neuroimaging studies. It is...
08/28/2019 ∙ by Chengliang Dai, et al. ∙ 0 ∙ share

read it
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image

Accelerating the acquisition of magnetic resonance imaging (MRI) is a ch...
08/20/2019 ∙ by Chen Qin, et al. ∙ 4 ∙ share

read it
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation

In this work, we present a fully automatic method to segment cardiac str...
08/20/2019 ∙ by Chen Chen, et al. ∙ 0 ∙ share

read it
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images

Cardiac MR image segmentation is essential for the morphological and fun...
07/23/2019 ∙ by Chen Chen, et al. ∙ 5 ∙ share

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

In this work, we propose a deep learning approach for parallel magnetic ...
07/19/2019 ∙ by Jinming Duan, et al. ∙ 2 ∙ share

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

In the recent years, convolutional neural networks have transformed the ...
07/05/2019 ∙ by Wenjia Bai, et al. ∙ 6 ∙ share

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

Quantification of anatomical shape changes still relies on scalar global...
06/28/2019 ∙ by Carlo Biffi, et al. ∙ 1 ∙ share

read it
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study

Background: The trend towards large-scale studies including population i...
01/27/2019 ∙ by Robert Robinson, et al. ∙ 38 ∙ share

read it
Multi-Task Learning for Left Atrial Segmentation on GE-MRI

Segmentation of the left atrium (LA) is crucial for assessing its anatom...
10/31/2018 ∙ by Chen Chen, et al. ∙ 4 ∙ share

read it
A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks

In the clinical routine, short axis (SA) cine cardiac MR (CMR) image sta...
10/03/2018 ∙ by Giacomo Tarroni, et al. ∙ 8 ∙ share

read it
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...
08/26/2018 ∙ by Jinming Duan, et al. ∙ 0 ∙ share

read it
Recurrent neural networks for aortic image sequence segmentation with sparse annotations

Segmentation of image sequences is an important task in medical image an...
08/01/2018 ∙ by Wenjia Bai, et al. ∙ 6 ∙ share

read it
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 ...
07/27/2018 ∙ by Jinming Duan, et al. ∙ 12 ∙ share

read it
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling

Alterations in the geometry and function of the heart define well-establ...
07/18/2018 ∙ by Carlo Biffi, et al. ∙ 8 ∙ share

read it
Real-time Prediction of Segmentation Quality

Recent advances in deep learning based image segmentation methods have e...
06/16/2018 ∙ by Robert Robinson, et al. ∙ 14 ∙ share

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

Cardiac motion estimation and segmentation play important roles in quant...
06/11/2018 ∙ by Chen Qin, et al. ∙ 0 ∙ share

read it
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

We propose a fully automatic method to find standardized view planes in ...
06/08/2018 ∙ by Amir Alansary, et al. ∙ 10 ∙ share

read it
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy

The variations in multi-center data in medical imaging studies have brou...
06/01/2018 ∙ by Vanya V. Valindria, et al. ∙ 0 ∙ share

read it
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks

Measurement of head biometrics from fetal ultrasonography images is of k...
04/24/2018 ∙ by Matthew Sinclair, et al. ∙ 6 ∙ share

read it
Learning-Based Quality Control for Cardiac MR Images

The effectiveness of a cardiovascular magnetic resonance (CMR) scan depe...
03/25/2018 ∙ by Giacomo Tarroni, et al. ∙ 0 ∙ share

read it
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Deep learning approaches such as convolutional neural nets have consiste...
11/04/2017 ∙ by Konstantinos Kamnitsas, et al. ∙ 0 ∙ share

read it
Human-level CMR image analysis with deep fully convolutional networks

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging mo...
10/25/2017 ∙ by Wenjia Bai, et al. ∙ 0 ∙ share

read it
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation

Incorporation of prior knowledge about organ shape and location is key t...
05/22/2017 ∙ by Ozan Oktay, et al. ∙ 0 ∙ share

read it
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks

In this paper, we propose DeepCut, a method to obtain pixelwise object s...
05/25/2016 ∙ by Martin Rajchl, et al. ∙ 0 ∙ share

read it

Wenjia Bai

Featured Co-authors