Results for: 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.
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2022
Development and validation of a clinical CT system simulator
S. Tunissen, L. Oostveen, N. Moriakov, J. Teuwen, K. Michielsen, E. Smit and I. Sechopoulos.
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2021
Deep learning based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms
L. Oostveen, F. Meijer, F. de Lange, E. Smit, S. Pegge, S. Steens, M. van Amerongen, M. Prokop and I. Sechopoulos.