Empirical motion-artifact reduction for non-rigid motion in dedicated breast CT
Mikhail Mikerov; Koen Michielsen; Nikita Moriakov; Juan J. Pautasso; Sjoerd A.M. Tunissen; Andrew M. Hernandez.
Comparative image quality and dosimetric performance of two generations of dedicated breast CT systems
Juan J. Pautasso, Camille D. E. Van Speybroeck, Koen Michielsen, Ioannis Sechopoulos.
Estimating deep learning model uncertainty of breast lesion classification to guide reading strategy in breast cancer screening
Sarah D. Verboom, Jaap Kroes, Mireille J. M. Broeders, Ioannis Sechopoulos.
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.
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.
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.
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.
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.
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.
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.
4D dynamic contrast-enhanced breast CT: evaluation of quantitative accuracy
Juan J. Pautasso, Mikhail Mikerov, Liselot Goris, Koen Michielsen, Ioannis Sechopoulos.
Glandularity estimation in digital breast tomosynthesis with an accretion approach
Leonardo Coito, Koen Michielsen, Ioannis Sechopoulos.
Technical note: Characterization, validation, and spectral optimization of a dedicated breast CT system for contrast-enhanced imaging
Juan J. Pautasso, Koen Michielsen, Ioannis Sechopoulos.
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.
An accretion method to regularize digital breast tomosynthesis reconstruction
L. Coito, K. Michielsen, I. Sechopoulos.
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.
Dynamic myocardial CT perfusion imaging-state of the art
Olga Sliwicka, Ioannis Sechopoulos, Andrea Baggiano, Gianluca Pontone, Robin Nijveldt, Jesse Habets.
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.
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.
Adding patient motion from DCE-MRI to anthropomorphic phantoms for dedicated breast CT
M. Mikerov, K. Michielsen, N. Moriakov and I. Sechopoulos.