Marc J. Pomeroy

发表

Multilayer feature selection method for polyp classification via computed tomographic colonography

Hongbing Lu, Yongfeng Gao, Zhengrong Liang, 2019, Journal of medical imaging.

3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography

Lihong Li, Yumei Huo, Jiaxing Tan, 2019, IEEE Transactions on Medical Imaging.

Deformation robust texture features for polyp classification via CT colonography

Hongbing Lu, Shu Zhang, Zhengrong Liang, 2020, Medical Imaging.

A statistical analysis of oral tagging in CT colonography and its impact on flat polyp detection and characterization

Zhengrong Liang, Jie Yang, Perry J. Pickhardt, 2019, Medical Imaging.

A local geometrical metric-based model for polyp classification

Zhengrong Liang, Weiguo Cao, Perry J. Pickhardt, 2019, Medical Imaging.

A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps

Shu Zhang, Jiaxing Tan, Zhengrong Liang, 2020, Medical Imaging.

A pyramid machine learning model for polyp classification via CT colonography

Zhengrong Liang, Weiguo Cao, Hongbing Lu, 2019, Medical Imaging.

Multi-scale characterizations of colon polyps via computed tomographic colonography

Zhengrong Liang, Weiguo Cao, Yongfeng Gao, 2019, Vis. Comput. Ind. Biomed. Art.

Texture Feature Analysis of Neighboring Colon Wall for Colorectal Polyp Classification

Marc J. Pomeroy, Zhengrong Liang, Hongbing Lu, 2017, 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Characterization of Tissue-specific Pre-log Bayesian CT Reconstruction by Texture-Dose Relationship.

Marc J. Pomeroy, Zhengrong Liang, Jianhua Ma, 2020, Medical physics.

Vector textures derived from higher order derivative domains for classification of colorectal polyps

Marc J. Pomeroy, Zhengrong Liang, Hongbing Lu, 2022, Vis. Comput. Ind. Biomed. Art.

Improved polyp classification by inclusion of the surrounding colon wall textures

Zhengrong Liang, Kevin Baker, Almas Abbasi, 2019, Medical Imaging: Computer-Aided Diagnosis.

A dynamic lesion model for differentiation of malignant and benign pathologies

Marc J. Pomeroy, Zhengrong Liang, P. Pickhardt, 2021, Scientific Reports.

An Investigation for Colorectal Cancer Early Diagnosis Using Hessian Vector-based Texture Features

Marc J. Pomeroy, Zhengrong Liang, P. Pickhardt, 2021, 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Histogram-based adaptive gray level scaling for texture feature classification of colorectal polyps

Zhengrong Liang, Hongbing Lu, Perry J. Pickhardt, 2018, Medical Imaging.

A sparse representation and dictionary learning based algorithm for image restoration in the presence of Rician noise

Zhengrong Liang, Binbin Pan, Lihong Li, 2018, Neurocomputing.

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

Hao Zhang, Zhengrong Liang, Hongbing Lu, 2019, IEEE Transactions on Medical Imaging.

Using tissue-energy response to generate virtual monoenergetic images from conventional CT for computer-aided diagnosis of lesions

Marc J. Pomeroy, H. Zhang, Zhengrong Liang, 2022, Other Conferences.

A feasibility study of computer-aided diagnosis with DECT Bayesian reconstruction for polyp classification

Marc J. Pomeroy, Zhengrong Liang, Shaojie Chang, 2022, Medical Imaging.

GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis

Zhengrong Liang, Lihong Li, Yumei Huo, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven Lesion Diagnosis in Pre-Log Domain

Marc J. Pomeroy, H. Zhang, Zhengrong Liang, 2023, IEEE Transactions on Medical Imaging.

An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets

Wei Hou, Zhengrong Liang, Weiguo Cao, 2019, Comput. Medical Imaging Graph..

Characterizing CT Reconstruction of Pre-log Transmission Data toward Ultra-low Dose Imaging by Texture Measures

Yuxiang Xing, Zhengrong Liang, Hongbing Lu, 2018, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).

Fully utilizing contrast enhancement on lung tissue as a novel basis material for lung nodule characterization by multi-energy CT

Marc J. Pomeroy, H. Zhang, Zhengrong Liang, 2022, Other Conferences.

MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification

Marc J. Pomeroy, Shenmin Zhang, Zhengrong Liang, 2023, Comput. Medical Imaging Graph..

A Fractional Active Contour Model for Medical Image Segmentation

Zhengrong Liang, Binbin Pan, Wensheng Chen, 2017, 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity

Marc J. Pomeroy, Zhengrong Liang, Jianhua Ma, 2022, ArXiv.

A vector representation of local image contrast patterns for lesion classification

Marc J. Pomeroy, Zhengrong Liang, P. Pickhardt, 2022, Medical Imaging.

Differentiation of polyps by clinical colonoscopy via integrated color information, image derivatives and machine learning

Zhengrong Liang, Yi Wang, Weiguo Cao, 2019, Medical Imaging.

Spectral CT Inspired Data Engineering for Colon Polyp Classification

Marc J. Pomeroy, Zhengrong Liang, P. Pickhardt, 2019, Nuclear Science Symposium and Medical Imaging Conference.