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ORCIDYongfeng Gao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yong-Feng Gao 0001
![[0000-0001-9338-3511]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9338-3511")
— Dalian University of Technology, Dalian, China - Yong-Feng Gao 0002 — Jiangsu University, Zhenjiang, Jiangsu, China
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2020 – today
- 2023
[j12]Shu Zhang, Jinru Wu, Enze Shi, Sigang Yu, Yongfeng Gao, Lihong Li, Licheng Ryan Kuo, Marc Jason Pomeroy, Jerome Zhengrong Liang:
MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification. Comput. Medical Imaging Graph. 108: 102257 (2023)- [j11]Yongfeng Gao, Siming Lu, Yongyi Shi, Shaojie Chang, Hao Zhang, Wei Hou, Lihong Li, Zhengrong Liang:
A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT. Sensors 23(3): 1374 (2023) - [j10]Shaojie Chang, Yongfeng Gao, Marc Jason Pomeroy, Ti Bai, Hao Zhang, Siming Lu, Perry J. Pickhardt, Amit Gupta, Michael Reiter, Elaine S. Gould, Zhengrong Liang:
Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven Lesion Diagnosis in Pre-Log Domain. IEEE Trans. Medical Imaging 42(6): 1835-1845 (2023) - [j9]Yongfeng Gao, Jiaxing Tan, Yongyi Shi, Hao Zhang, Siming Lu, Amit Gupta, Haifang Li, Michael Reiter, Zhengrong Liang:
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 42(11): 3129-3139 (2023) - [c13]Yongfeng Gao, Shaojie Chang, Marc Jason Pomeroy, Lihong Li, Zhengrong Liang:
Using virtual monoenergetic images in Karhunen-Loève domain to differentiate lesion pathology. Medical Imaging: Computer-Aided Diagnosis 2023 - [c12]Daniel Liang, David Liang, Alice Wei, Licheng Ryan Kuo, Shaojie Chang, Marc Jason Pomeroy, Yongfeng Gao:
An investigation on energy spectral information of computed tomography for machine learning in lesion classification. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [j8]Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Jiaxing Tan, Zhengrong Liang, Yongfeng Gao, Almas F. Abbasi, Perry J. Pickhardt:
An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography. Sensors 22(3): 907 (2022) - [c11]Weiguo Cao, Marc Jason Pomeroy, Yongfeng Gao, Perry J. Pickhardt, Almas F. Abbasi, Jela Bandovic, Zhengrong Liang:
A vector representation of local image contrast patterns for lesion classification. Medical Imaging: Computer-Aided Diagnosis 2022 - [c10]Shuheng Cao, Ethan Yu, Aidan Clarke, Yongfeng Gao, Lihong Li:
Multi-channel medical image segmentation method in Hessian domain. Medical Imaging: Computer-Aided Diagnosis 2022 - [c9]Shaojie Chang, Yongfeng Gao, Marc Jason Pomeroy, Siming Lu, Zhengrong Liang:
A feasibility study of computer-aided diagnosis with DECT Bayesian reconstruction for polyp classification. Medical Imaging: Computer-Aided Diagnosis 2022 - [c8]Shu Zhang, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao, Zhengrong Liang:
A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset. MMMI@MICCAI 2022: 44-53 - [i1]Weiguo Cao, Marc Jason Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F. Abbasi, Perry J. Pickhardt:
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity. CoRR abs/2205.14029 (2022) - 2021
- [c7]Vincent Wang, Alice Wei, Jiaxing Tan, Siming Lu, Weiguo Cao, Yongfeng Gao:
A comparison study of deep learning designs for improving low-dose CT denoising. Medical Imaging: Image Processing 2021 - 2020
- [j7]Jiaxing Tan, Yongfeng Gao, Zhengrong Liang, Weiguo Cao, Marc Jason Pomeroy, Yumei Huo, Lihong Li, Matthew A. Barish, Almas F. Abbasi, Perry J. Pickhardt:
3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography. IEEE Trans. Medical Imaging 39(6): 2013-2024 (2020) - [j6]Yongyi Shi, Yongfeng Gao, Yanbo Zhang, Junqi Sun, Xuanqin Mou, Zhengrong Liang:
Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization. IEEE Trans. Medical Imaging 39(10): 2996-3007 (2020) - [c6]Shu Zhang, Weiguo Cao, Marc Jason Pomeroy, Yongfeng Gao, Jiaxing Tan, Zhengrong Liang:
A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps. Medical Imaging: Computer-Aided Diagnosis 2020 - [c5]Jiaxing Tan, Shu Zhang, Weiguo Cao, Yongfeng Gao, Lihong Li, Yumei Huo, Zhengrong Liang:
A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [j5]Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng Gao, Marc Jason Pomeroy, Kenneth Ng, Wei Hou:
An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets. Comput. Medical Imaging Graph. 77 (2019) - [j4]Yongfeng Gao, Zhengrong Liang, William Moore, Hao Zhang, Marc Jason Pomeroy, John A. Ferretti, Thomas V. Bilfinger, Jianhua Ma, Hongbing Lu:
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 38(8): 1981-1992 (2019) - [j3]Weiguo Cao, Marc Jason Pomeroy, Yongfeng Gao, Matthew A. Barish, Almas F. Abbasi, Perry J. Pickhardt, Zhengrong Liang:
Multi-scale characterizations of colon polyps via computed tomographic colonography. Vis. Comput. Ind. Biomed. Art 2: 1-12 (2019) - [j2]Yongfeng Gao, Yongyi Shi, Weiguo Cao, Shu Zhang, Zhengrong Liang:
Energy enhanced tissue texture in spectral computed tomography for lesion classification. Vis. Comput. Ind. Biomed. Art 2: 1-12 (2019) - [j1]Yongfeng Gao, Jiaxing Tan, Zhengrong Liang, Lihong Li, Yumei Huo:
Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain. Vis. Comput. Ind. Biomed. Art 2: 1-9 (2019) - [c4]Jiaxing Tan, Yongfeng Gao, Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Yumei Huo, Lihong Li, Zhengrong Liang:
GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis. BHI 2019: 1-4 - [c3]Yi Wang, Marc Jason Pomeroy, Weiguo Cao, Yongfeng Gao, Edward Sun, Samuel Stanley III, Juan Carlos Bucobo, Zhengrong Liang:
Differentiation of polyps by clinical colonoscopy via integrated color information, image derivatives and machine learning. Medical Imaging: Computer-Aided Diagnosis 2019: 109502Y - [c2]Yi Wang, Marc Jason Pomeroy, Weiguo Cao, Yongfeng Gao, Edward Sun, Samuel Stanley III, Zhengrong Liang, Juan Carlos Bucobo:
Polyp classification by Weber's Law as texture descriptor for clinical colonoscopy. Medical Imaging: Computer-Aided Diagnosis 2019: 109502V - [c1]Jiaxing Tan, Yongfeng Gao, Yumei Huo, Lihong Li, Zhengrong Liang:
Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging. Medical Imaging: Image Processing 2019: 109490E
Coauthor Index
aka: Jerome Zhengrong Liang
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