Ioannis Sechopoulos
Orcid: 0000-0001-9615-8205
According to our database1,
Ioannis Sechopoulos
authored at least 26 papers
between 2010 and 2023.
Collaborative distances:
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Bibliography
2023
Proceedings of the Medical Imaging 2023: Image Perception, 2023
End-to-end mammographic breast density quantification with deep learning: preliminary study on simulated mammograms.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging.
CoRR, 2022
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Adding patient motion from DCE-MRI to anthropomorphic phantoms for dedicated breast CT.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
2021
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation.
Medical Image Anal., 2021
2020
Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.
Comput. Methods Programs Biomed., 2020
Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence.
Comput. Biol. Medicine, 2020
Proceedings of the Medical Imaging 2020: Image Perception, 2020
2019
2D single-slice vs. 3D viewing of simulated tomosynthesis images of a small-scale breast tissue model.
Proceedings of the Medical Imaging 2019: Image Perception, 2019
Proceedings of the Medical Imaging 2019: Image Perception, 2019
Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support?
Proceedings of the 14th International Workshop on Breast Imaging, 2018
How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Automatic estimation of glandular tissue loss due to limited reconstruction voxel size in tomographic images of the breast.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Independent images: a need for phantom based image quality assessment using model observers?
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Proceedings of the 14th International Workshop on Breast Imaging, 2018
2016
Proceedings of the Breast Imaging, 2016
2014
Breast tissue classification in digital tomosynthesis images based on global gradient minimization and texture features.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
2013
2011
Automatic tissue classification for high-resolution breast CT images based on bilateral filtering.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
2010
SIAM J. Imaging Sci., 2010