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Daniele Marin

Associate Professor of Radiology
Radiology, Abdominal Imaging
Box 3808 Med Ctr, Durham, NC 27710
Dept of Radiology, Durham, NC 27710

Scholarly Works - Conferences


Unsupervised learning of robust models for cardiac and photon-counting x-ray CT denoising

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2023 Supervised deep learning methods have rapidly advanced to the forefront of medical imaging research; however, they face limitations in advanced CT applications. For instance, label generation is difficult for retrospective cardiac CT data where dose modula ... Full text Cite

Automated patient-specific and organ-based image quality metrics on dual-energy ct datasets for large scale studies

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2021 The purpose of this study was to develop an automated patient-specific and organ-based image quality (IQ) assessment tool for dual energy (DE) computed tomography (CT) images for large scale clinical analysis. To demonstrate its utility, this tool was used ... Full text Cite

How reliable are texture measurements?

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2018 The purpose of this study was to assess the bias (objectivity) and variability (robustness) of computed tomography (CT) texture features (internal heterogeneities) across a series of image acquisition settings and reconstruction algorithms. We simulated a ... Full text Cite

Accuracy and variability of texture-based radiomics features of lung lesions across CT imaging conditions

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2017 Texture analysis for lung lesions is sensitive to changing imaging conditions but these effects are not well understood, in part, due to a lack of ground-truth phantoms with realistic textures. The purpose of this study was to explore the accuracy and vari ... Full text Cite

Determination of contrast media administration to achieve a targeted contrast enhancement in CT

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2015 Contrast enhancement is a key component of CT imaging and offer opportunities for optimization. The design and optimization of new techniques however requires orchestration with the scan parameters and further a methodology to relate contrast enhancement a ... Full text Cite