Results for: sechopoulos ,
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2025
4D Dynamic contrast-enhanced breast CT: Phantom-based reconstruction parameter optimization for iodine quantification
Mikhail Mikerov, Juan J. Pautasso, Liselot Goris, Koen Michielsen, Ioannis Sechopoulos.
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2024
Enhancing Radiologist Reading Performance by Ordering Screening Mammograms Based on Characteristics That Promote Visual Adaptation
Jessie J. J. Gommers, Sarah D. Verboom, Katya M. Duvivier, Jan-Kees van Rooden, A. Fleur van Raamt, Janneke B. Houwers, Dick B. Naafs, Lucien E. M. Duijm, Craig K. Abbey, Michael A. Webster, Mireille J. M. Broeders, Ioannis Sechopoulos.
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2024
Deep learning-based low-dose CT simulator for non-linear reconstruction methods
Sjoerd A. M. Tunissen, Nikita Moriakov, Mikhail Mikerov, Ewoud J. Smit, Ioannis Sechopoulos, Jonas Teuwen.
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2024
Development, validation, and simplification of a scanner-specific CT simulator
Sjoerd A. M. Tunissen, Luuk J. Oostveen, Nikita Moriakov, Jonas Teuwen, Koen Michielsen, Ewoud J. Smit, Ioannis Sechopoulos.
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2024
Perfusion phantom for the optimization of dynamic contrast-enhanced dedicated breast CT: iodine contrast curves in a simplified breast phantom
Liselot Goris, Juan Pautasso, Mikhail Mikerov, Koen Michielsen, Ioannis Sechopoulos.
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2024
In-line spectroscopy for the quantification of iodine in a breast perfusion phantom for dynamic contrast-enhanced dedicated breast CT imaging validation
Liselot Goris, Mikhail Mikerov, Srirang Manohar, Ioannis Sechopoulos.
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2024
Modeling Radiologists’ Assessments to Explore Pairing Strategies for Optimized Double Reading of Screening Mammograms
Jessie J. J. Gommers, Craig K. Abbey, Fredrik Strand, Sian Taylor-Phillips, David J. Jenkinson, Marthe Larsen, Solveig Hofvind, Mireille J. M. Broeders, and Ioannis Sechopoulos.
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2024
4D dynamic contrast-enhanced breast CT: evaluation of quantitative accuracy
Juan J. Pautasso, Mikhail Mikerov, Liselot Goris, Koen Michielsen, Ioannis Sechopoulos.
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2024
Glandularity estimation in digital breast tomosynthesis with an accretion approach
Leonardo Coito, Koen Michielsen, Ioannis Sechopoulos.
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2024
Technical note: Characterization, validation, and spectral optimization of a dedicated breast CT system for contrast-enhanced imaging
Juan J. Pautasso, Koen Michielsen, Ioannis Sechopoulos.
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2024
Deep learning for x-ray scatter correction in dedicated breast CT
Pautasso, J. J., Caballo, M., Mikerov, M., Boone, J. M., Michielsen, K., Sechopoulos, I.
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2023
An accretion method to regularize digital breast tomosynthesis reconstruction
L. Coito, K. Michielsen, I. Sechopoulos.
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2023
Optimizing the Pairs of Radiologists That Double Read Screening Mammograms
Gommers JJJ, Abbey CK, Strand F, Taylor-Phillips S, Jenkinson DJ, Larsen M, Hofvind S, Sechopoulos I, Broeders MJM.
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2023
Dynamic myocardial CT perfusion imaging-state of the art
Olga Sliwicka, Ioannis Sechopoulos, Andrea Baggiano, Gianluca Pontone, Robin Nijveldt, Jesse Habets.
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2023
Stress-only dynamic computed tomography perfusion protocol (CTP) alone without computed tomography coronary angiography (CCTA) has limited specificity to diagnose ischemia: A retrospective two-center study
Olga Sliwicka, Andrea Baggiano, Ioannis Sechopoulos, Gianluca Pontone.
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2022
Patient-derived heterogeneous breast phantoms for advanced dosimetry in mammography and tomosynthesis
M. Caballo, C. Rabin, C. Fedon, A. Rodríguez-Ruiz, O. Diaz, J. Boone, D. Dance and I. Sechopoulos.
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2022
Multireader image quality evaluation of dynamic myocardial computed tomography perfusion imaging with a novel four-dimensional noise reduction filter
O. Sliwicka, Z. Swiderska-Chadaj, M. Snoeren, M. Brink, K. Salah, L. Peters-Bax, T. Stille, M. van Amerongen, I. Sechopoulos and J. Habets.
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2022
Deep learning scatter estimation for breast tomosynthesis based on a realistic compressed breast shape model in the CC view
M. Pinto, K. Michielsen, A. Rodríguez-Ruiz, R. Biniazan, S. Kappler and I. Sechopoulos.
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2022
Adding patient motion from DCE-MRI to anthropomorphic phantoms for dedicated breast CT
M. Mikerov, K. Michielsen, N. Moriakov and I. Sechopoulos.
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2022
Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors
S. Verboom, M. Caballo, M. Broeders, J. Teuwen and I. Sechopoulos.