Jingfeng Jiang
Orcid: 0000-0001-8812-6246
According to our database1,
Jingfeng Jiang
authored at least 27 papers
between 2003 and 2023.
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Bibliography
2023
Exploring a frequency-domain attention-guided cascade U-Net: Towards spatially tunable segmentation of vasculature.
Comput. Biol. Medicine, December, 2023
AGMN: Association graph-based graph matching network for coronary artery semantic labeling on invasive coronary angiograms.
Pattern Recognit., November, 2023
Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net.
Comput. Biol. Medicine, May, 2023
An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms.
Medical Image Anal., 2023
A Multi-Distance Feature Dissimilarity-Guided Encoder-Decoder Network for Polyp Segmentation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Dynamic 3D imaging of contrast medium flow on an interventional C-arm using a pulsed injection protocol.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
2022
IEEE Signal Process. Lett., 2022
GAN-segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation.
Int. J. Imaging Syst. Technol., 2022
2021
Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images.
Pattern Recognit., 2021
Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos.
CoRR, 2021
A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images.
CoRR, 2021
Augmenting 3D Ultrasound Strain Elastography by combining Bayesian inference with local Polynomial fitting in Region-growing-based Motion Tracking.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the 2021 International Conference on Applications and Techniques in Cyber Intelligence, 2021
2020
An Application of Super-Resolution Generative Adversary Networks for Quasi-Static Ultrasound Strain Elastography: A Feasibility Study.
IEEE Access, 2020
A Real-time Ultrasound Simulator Using Monte-Carlo Path Tracing in Conjunction with Optix Engine.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Performance Assessment of Motion Tracking Methods in Ultrasound-based Shear Wave Elastography.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Augmented Region-Growing-Based Motion Tracking Using Bayesian Inference For Quasi-Static Ultrasound Elastography.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
A two-dimensional (2D) systems biology-based discrete liver tissue model: A simulation study with implications for ultrasound elastography of liver fibrosis.
Comput. Biol. Medicine, 2019
A Real-Time Medical Ultrasound Simulator Based on a Generative Adversarial Network Model.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2016
Comput. Math. Methods Medicine, 2016
Comput. Graph., 2016
2014
IEEE Trans. Vis. Comput. Graph., 2014
2013
Interactive Decomposition and Mapping of Saccular Cerebral Aneurysms Using Harmonic Functions: Its First Application With "Patient-Specific" Computational Fluid Dynamics (CFD) Simulations.
IEEE Trans. Medical Imaging, 2013
2012
Linear and Nonlinear Elastic Modulus Imaging: An Application to Breast Cancer Diagnosis.
IEEE Trans. Medical Imaging, 2012
2009
Young's Modulus Reconstruction for Radio-Frequency Ablation Electrode-Induced Displacement Fields: A Feasibility Study.
IEEE Trans. Medical Imaging, 2009
2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
IEEE Trans. Medical Imaging, 2003