Ioannis Sechopoulos, Ph.D.

Affiliations: 
2007 Georgia Institute of Technology, Atlanta, GA 
Area:
Biomedical Engineering, Radiology
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Parents

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Andrew Karellas grad student 2007 Georgia Tech
 (Investigation of physical processes in digital x-ray tomosynthesis imaging of the breast.)
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Publications

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Sechopoulos I, Dance DR, Boone JM, et al. (2023) Joint AAPM Task Group 282/EFOMP Working Group Report: Breast dosimetry for standard and contrast-enhanced mammography and breast tomosynthesis. Medical Physics
Zhu Y, Ma Y, Zhai Z, et al. (2023) Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study. European Radiology
Pinto MC, Mauter F, Michielsen K, et al. (2023) A deep learning approach to estimate x-ray scatter in digital breast tomosynthesis: From phantom models to clinical applications. Medical Physics
Balta C, Reiser I, Broeders MJM, et al. (2023) Lesion detection in digital breast tomosynthesis: human reader experiments indicate no benefit from the integration of information from multiple planes. Journal of Medical Imaging (Bellingham, Wash.). 10: S11915
Pautasso JJ, Caballo M, Mikerov M, et al. (2022) Deep learning for x-ray scatter correction in dedicated breast CT. Medical Physics
Pinto MC, Michielsen K, Biniazan R, et al. (2022) Generative compressed breast shape model for digital mammography and digital breast tomosynthesis. Medical Physics
Caballo M, Rabin C, Fedon C, et al. (2022) Patient-derived heterogeneous breast phantoms for advanced dosimetry in mammography and tomosynthesis. Medical Physics
Sechopoulos I, Abbey CK, van der Waal D, et al. (2022) Evaluation of reader performance during interpretation of breast cancer screening: the Recall and detection Of breast Cancer in Screening (ROCS) trial study design. European Radiology
Pinto MC, Rodriguez-Ruiz A, Pedersen K, et al. (2021) Impact of Artificial Intelligence Decision Support Using Deep Learning on Breast Cancer Screening Interpretation with Single-View Wide-Angle Digital Breast Tomosynthesis. Radiology. 204432
Boita J, Mackenzie A, van Engen RE, et al. (2021) Validation of a mammographic image quality modification algorithm using 3D-printed breast phantoms. Journal of Medical Imaging (Bellingham, Wash.). 8: 033502
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