Chengjia Wang

According to our database, Chengjia Wang authored at least 34 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Is Attention all You Need in Medical Image Analysis? A Review.

Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang

IEEE J. Biomed. Health Informatics, March, 2024

2023

Enhancing percutaneous coronary intervention with heuristic path planning and deep-learning-based vascular segmentation.

Tianliang Yao, Chengjia Wang, Xinyi Wang, Xiang Li, Zhaolei Jiang, Peng Qi

Comput. Biol. Medicine, November, 2023

Editorial: Advances in machine learning methods facilitating collaborative image-based decision making for neuroscience.

Chengjia Wang, Heye Zhang, Georgios Papanastasiou, Guang Yang

Frontiers Comput. Neurosci., September, 2023

Explainable unsupervised multi-modal image registration using deep networks.

Chengjia Wang, Giorgos Papanastasiou

CoRR, 2023

2022

Annealing Genetic GAN for Imbalanced Web Data Learning.

Jingyu Hao, Chengjia Wang, Guang Yang, Zhifan Gao, Jinglin Zhang, Heye Zhang

IEEE Trans. Multim., 2022

Unsupervised Image Registration towards Enhancing Performance and Explainability in Cardiac and Brain Image Analysis.

Chengjia Wang, Guang Yang, Giorgos Papanastasiou

Sensors, 2022

Robust weakly supervised learning for COVID-19 recognition using multi-center CT images.

Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang

Appl. Soft Comput., 2022

CS²: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention.

Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Dynamic-Range Compression of Infrared Video Camera.

Bingcai Sun, Chengjia Wang, Jinrui Deng, Ying Zhang, Xueqi Wang

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation.

Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

IEEE Trans. Medical Imaging, 2021

Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation.

Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Heye Zhang, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque

IEEE Trans. Ind. Informatics, 2021

Pharmacokinetic modelling for the simultaneous assessment of perfusion and ¹⁸F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of concept.

Giorgos Papanastasiou, Mark A. Rodrigues, Chengjia Wang, Kerstin Heurling, Christophe Lucatelli, Rustam Al-Shahi Salman, Joanna M. Wardlaw, Edwin J. R. van Beek, Gerard Thompson

NeuroImage, 2021

Learning to synthesise the ageing brain without longitudinal data.

Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris, Alzheimer's Disease Neuroimaging Initiative

Medical Image Anal., 2021

DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis.

Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, David E. Newby, Calum D. Gray, Gillian Macnaught, Tom J. MacGillivray

Inf. Fusion, 2021

Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images.

Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang

CoRR, 2021

FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks.

Chengjia Wang, Guang Yang, Giorgos Papanastasiou

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.

Chengjia Wang, Shizhou Dong, Xiaofeng Zhao, Giorgos Papanastasiou, Heye Zhang, Guang Yang

IEEE Trans. Ind. Informatics, 2020

MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis.

Ming Li, Chengjia Wang, Heye Zhang, Guang Yang

Comput. Biol. Medicine, 2020

Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling.

Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris

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.

Yifeng Guo, Chengjia Wang, Heye Zhang, Guang Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Annealing Genetic GAN for Minority Oversampling.

Jingyu Hao, Chengjia Wang, Heye Zhang, Guang Yang

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Learning to synthesise the ageing brain without longitudinal data.

Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris

CoRR, 2019

Disentangle, align and fuse for multimodal and zero-shot image segmentation.

Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

CoRR, 2019

FIRE: Unsupervised bi-directional inter-modality registration using deep networks.

Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang

CoRR, 2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.

Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang

CoRR, 2019

Distance Oriented Particle Swarm Optimizer for Brain Image Registration.

Chengjia Wang, Keith A. Goatman, James P. Boardman, Erin Beveridge, David E. Newby, Scott I. Semple

IEEE Access, 2019

TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis.

Chengjia Wang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, Guang Yang, Calum D. Gray, David E. Newby, Gillian Macnaught, Tom J. MacGillivray

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation.

Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multimodal Cardiac Segmentation Using Disentangled Representation Learning.

Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

2018

A two-stage 3D Unet framework for multi-class segmentation on full resolution image.

Chengjia Wang, Tom J. MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby

CoRR, 2018

A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration.

Chengjia Wang, Keith A. Goatman, James P. Boardman, Erin Beveridge, David E. Newby, Scott Semple

CoRR, 2018

Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks.

Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby

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.

Chengjia Wang, Tom J. MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby

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.

Chengjia Wang, Keith A. Goatman, Tom J. MacGillivray, Erin Beveridge, Yolanda G. Sourgia Koutraki, James P. Boardman, Colin Stirrat, Sarah A. Sparrow, Emma Moore, Rozi Paraky, Shirjel Alam, Marc R. Dweck, Calvin Chin, Calum D. Gray, David E. Newby, Scott Semple

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015