Jingfeng Jiang

Orcid: 0000-0001-8812-6246

According to our database1, Jingfeng Jiang authored at least 34 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Teacher-student guided knowledge distillation for unsupervised convolutional neural network-based speckle tracking in ultrasound strain elastography.
Medical Biol. Eng. Comput., August, 2024

The supply chain advantages and application strategies of artificial intelligence and the Internet of Things.
J. Comput. Methods Sci. Eng., 2024

Analysis of competitive differences in the bilateral platforms of the digital economy using artificial intelligence and network data security.
Int. J. Inf. Comput. Secur., 2024

Automatic segmentation of intraluminal thrombosis of abdominal aortic aneurysms from CT angiography using a mixed-scale-driven multiview perception network (M2Net) model.
Comput. Biol. Medicine, 2024

Slimmable transformer with hybrid axial-attention for medical image segmentation.
Comput. Biol. Medicine, 2024

GMoD: Graph-Driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Predicting Amyloid-β Positivity in Alzheimer's Disease: Comprehensive Analysis of Feature Selection and Machine Learning Models for Accurate Identification.
Int. J. Online Biomed. Eng., 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
MATNet: Exploiting Multi-Modal Features for Radiology Report Generation.
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

Opportunities and Challenges of Hotel Marketing Under the Background of Big Data.
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
Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms.
Comput. Math. Methods Medicine, 2016

VesselMap: A web interface to explore multivariate vascular data.
Comput. Graph., 2016

2014
A Graph-Based Interface for VisualAnalytics of 3D Streamlines and Pathlines.
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
Motion Tracking for Palpation Imaging.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
A Finite Element Approach for Young's Modulus Reconstruction.
IEEE Trans. Medical Imaging, 2003


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