Chengjia Wang

发表

Exploring the Biological and Mechanical Properties of Abdominal Aortic Aneurysms Using USPIO MRI and Peak Tissue Stress: A Combined Clinical and Finite Element Study

E. V. van Beek, T. MacGillivray, P. Hoskins, 2017, Journal of Cardiovascular Translational Research.

Tri-modal imaging of gold-dotted magnetic nanoparticles for magnetic resonance imaging, computed tomography and intravascular ultrasound: an in vitro study.

C. Tai, C. Moran, Giorgos Papanastasiou, 2020, Nanomedicine.

Pericoronary Adipose Tissue Attenuation, Low-Attenuation Plaque Burden, and 5-Year Risk of Myocardial Infarction.

E. V. van Beek, D. Dey, L. Shaw, 2022, JACC. Cardiovascular imaging.

Sex-Specific Computed Tomography Coronary Plaque Characterization and Risk of Myocardial Infarction.

E. V. van Beek, D. Dey, D. Berman, 2021, JACC. Cardiovascular imaging.

Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction

E. V. van Beek, D. Dey, D. Berman, 2020, Circulation.

Low-attenuation non-calcified plaque on coronary CT angiography predicts myocardial infarction Results from the multicenter SCOT-HEART trial

D. Dey, D. Berman, L. Shaw, 2020 .

Aortic Wall Inflammation Predicts Abdominal Aortic Aneurysm Expansion, Rupture, and Need for Surgical Repair

T. MacGillivray, P. Hoskins, R. Forsythe, 2017, Circulation.

Data-Driven Gross Patient Motion Detection and Compensation: Implications for Coronary 18F-NaF PET Imaging

D. Dey, D. Berman, G. Germano, 2018, The Journal of Nuclear Medicine.

Quantitative myocardial inflammation assessed using a novel USPIO-Magnetic Resonance Imaging acquisition and analysis protocol

T. MacGillivray, M. Dweck, D. Newby, 2013, Journal of Cardiovascular Magnetic Resonance.

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

Xiaodan Xing, Yang Nan, Chengjia Wang, 2022, MICCAI.

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

D. Newby, S. Tsaftaris, A. Chartsias, 2019, ArXiv.

Focus on machine learning models in medical imaging

Heye Zhang, Guang Yang, Chengjia Wang, 2022, Physics in medicine and biology.

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

Joanna M. Wardlaw, Kerstin Heurling, Giorgos Papanastasiou, 2020, NeuroImage.

Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 Infections

E. Fang, J. Shao, Weiping Ding, 2021, Frontiers in Medicine.

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

Zhangming Niu, Qinghao Ye, Wade Menpes-Smith, 2021, Applied Soft Computing.

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Guang Yang, Guoyan Zheng, Jean-Yves Ramel, 2019, Medical Image Anal..

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

Sotirios A. Tsaftaris, Scott Semple, Agisilaos Chartsias, 2020, IEEE Transactions on Medical Imaging.

Pericoronary Adipose Tissue Attenuation, Low Attenuation Plaque Burden And 5-year Risk Of Myocardial Infarction

D. Dey, L. Shaw, P. Slomka, 2021, Journal of Cardiovascular Computed Tomography.

Learning to synthesise the ageing brain without longitudinal data pdf

Sotirios A. Tsaftaris, Tian Xia, Agisilaos Chartsias, 2019, Medical Image Anal..

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

Guang Yang, Chengjia Wang, G. Papanastasiou, 2022, Sensors.

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

Guang Yang, Gillian Macnaught, Tom MacGillivray, 2018, ArXiv.

Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks

Gillian Macnaught, Tom MacGillivray, Chengjia Wang, 2018, SASHIMI@MICCAI.

SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT

Guang Yang, Xiaofeng Zhao, Chengjia Wang, 2020, IEEE Transactions on Industrial Informatics.

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

Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque, Guang Yang, 2020, IEEE Transactions on Industrial Informatics.

Survival analysis of a single-species population model with fluctuations and migrations between patches

Fengying Wei, Chengjia Wang, 2020 .

Hepatosteatosis and Atherosclerotic Plaque at Coronary CT Angiography.

E. V. van Beek, D. Dey, L. Shaw, 2022, Radiology. Cardiothoracic imaging.

Multimodal Cardiac Segmentation Using Disentangled Representation Learning

Sotirios A. Tsaftaris, Scott Semple, Agisilaos Chartsias, 2019, STACOM@MICCAI.

Multimodal cardiac segmentation using disentangled representations

Sotirios A. Tsaftaris, Scott Semple, Agisilaos Chartsias, 2019 .

Annealing Genetic GAN for Imbalanced Web Data Learning

Guang Yang, Jinglin Zhang, Chengjia Wang, 2021, IEEE Transactions on Multimedia.

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

Sotirios A. Tsaftaris, Haochuan Jiang, Agisilaos Chartsias, 2020, MyoPS@MICCAI.

A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data

Guang Yang, Gillian Macnaught, Tom MacGillivray, 2018, STACOM@MICCAI.

Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness

Guang Yang, Yifeng Guo, Chengjia Wang, 2020, MICCAI.

Explainable unsupervised multi-modal image registration using deep networks

Chengjia Wang, G. Papanastasiou, 2023, ArXiv.

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

Nikolaos Dikaios, Chengjia Wang, G. Papanastasiou, 2023, IEEE Journal of Biomedical and Health Informatics.

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

Sotirios A. Tsaftaris, Agisilaos Chartsias, Chengjia Wang, 2019, 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS).

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

Sotirios A. Tsaftaris, Calum Gray, Guang Yang, 2021, Inf. Fusion.

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

Heye Zhang, Guang Yang, Ming Li, 2020, Comput. Biol. Medicine.

Association of coronary artery calcium score with qualitatively and quantitatively assessed adverse plaque on coronary CT angiography in the SCOT-HEART trial.

E. V. van Beek, D. Dey, D. Berman, 2021, European heart journal. Cardiovascular Imaging.

Learning to synthesise the ageing brain without longitudinal data

Sotirios A. Tsaftaris, Agisilaos Chartsias, Tian Xia, 2019, Medical Image Anal..

Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation

Wei Zheng, Heye Zhang, Huafeng Liu, 2019, MICCAI.

Aortic Wall Inflammation Predicts Abdominal Aortic Aneurysm Expansion, Rupture, and Need for Surgical Repair

T. MacGillivray, D. Saloner, P. Hoskins, 2017, Circulation.

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

D. Newby, S. Tsaftaris, A. Chartsias, 2020, IEEE Transactions on Medical Imaging.