Yongfeng Gao
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
Switching Anti-windup Synthesis for Linear Systems Subject to Asymmetric Input Magnitude and Rate Saturation: Application to Aircraft Engines.
IEEE Trans. Aerosp. Electron. Syst., 2024
2023
Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT.
IEEE Trans. Medical Imaging, November, 2023
Comput. Medical Imaging Graph., September, 2023
Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven Lesion Diagnosis in Pre-Log Domain.
IEEE Trans. Medical Imaging, June, 2023
Sensors, February, 2023
An investigation on energy spectral information of computed tomography for machine learning in lesion classification.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Using virtual monoenergetic images in Karhunen-Loève domain to differentiate lesion pathology.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography.
Sensors, 2022
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity.
CoRR, 2022
A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
A feasibility study of computer-aided diagnosis with DECT Bayesian reconstruction for polyp classification.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
2020
3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography.
IEEE Trans. Medical Imaging, 2020
Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization.
IEEE Trans. Medical Imaging, 2020
A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain.
Vis. Comput. Ind. Biomed. Art, 2019
Energy enhanced tissue texture in spectral computed tomography for lesion classification.
Vis. Comput. Ind. Biomed. Art, 2019
Vis. Comput. Ind. Biomed. Art, 2019
A Feasibility Study of Extracting Tissue Textures From a Previous Full-Dose CT Database as Prior Knowledge for Bayesian Reconstruction of Current Low-Dose CT Images.
IEEE Trans. Medical Imaging, 2019
An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.
Comput. Medical Imaging Graph., 2019
Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Differentiation of polyps by clinical colonoscopy via integrated color information, image derivatives and machine learning.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019