Chengjia Wang
According to our database1,
Chengjia Wang
authored at least 30 papers
between 2015 and 2022.
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Bibliography
2022
Unsupervised Image Registration towards Enhancing Performance and Explainability in Cardiac and Brain Image Analysis.
Sensors, 2022
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images.
Appl. Soft Comput., 2022
CS<sup>2</sup>: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
2021
IEEE Trans. Medical Imaging, 2021
Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation.
IEEE Trans. Ind. Informatics, 2021
Pharmacokinetic modelling for the simultaneous assessment of perfusion and <sup>18</sup>F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of concept.
NeuroImage, 2021
Medical Image Anal., 2021
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis.
Inf. Fusion, 2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images.
CoRR, 2021
FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT.
IEEE Trans. Ind. Informatics, 2020
MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis.
Comput. Biol. Medicine, 2020
Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 31st British Machine Vision Conference 2020, 2020
2019
CoRR, 2019
CoRR, 2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
CoRR, 2019
IEEE Access, 2019
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
2018
CoRR, 2018
A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration.
CoRR, 2018
Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018
A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
2015
Automatic multi-parametric MR registration method using mutual information based on adaptive asymmetric k-means binning.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015