Marc Jason Pomeroy
Orcid: 0000-0002-3982-1776
According to our database1,
Marc Jason Pomeroy
authored at least 28 papers
between 2017 and 2023.
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Bibliography
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
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
Vector textures derived from higher order derivative domains for classification of colorectal polyps.
Vis. Comput. Ind. Biomed. Art, 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 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
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
Integration of optical and virtual colonoscopy images for enhanced classification of colorectal polyps.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Performance investigation of deep learning vs. classifier for polyp differentiation via texture features.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
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
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
A statistical analysis of oral tagging in CT colonography and its impact on flat polyp detection and characterization.
Proceedings of the Medical Imaging 2019: Image Perception, 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 Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
A sparse representation and dictionary learning based algorithm for image restoration in the presence of Rician noise.
Neurocomputing, 2018
Histogram-based adaptive gray level scaling for texture feature classification of colorectal polyps.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
A study of oral contrast coating on the surface of polyps: an implication for computer-aided detection and classification of polyps.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
False positive reduction for wall thickness-based detection of colonic flat polyps via CT colonography.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017