Numerical Algorithms for Polyenergetic Digital Breast Tomosynthesis Reconstruction. - Julianne Chung; James G. Nagy; Ioannis Sechopoulos (SIAM J. Imaging Sci., 2010)

Automatic tissue classification for high-resolution breast CT images based on bilateral filtering. - Xiaofeng Yang 005; Ioannis Sechopoulos; Baowei Fei (Image Processing, 2011)

Iterative Breast Tomosynthesis Image Reconstruction. - Veronica Mejia Bustamante; James G. Nagy; Steve S. J. Feng; Ioannis Sechopoulos (SIAM J. Sci. Comput., 2013)

Breast tissue classification in digital tomosynthesis images based on global gradient minimization and texture features. - Xulei Qin; Guolan Lu; Ioannis Sechopoulos; Baowei Fei (Image Processing, 2014)

Performance of Breast Cancer Screening Depends on Mammographic Compression. - Katharina Holland; Ioannis Sechopoulos; Gerard J. den Heeten; Ritse M. Mann; Nico Karssemeijer (Digital Mammography / IWDM, 2016)

Breast phantom validation of a mammographic image modification method. - Joana Boita; Alistair Mackenzie; Ioannis Sechopoulos (IWBI, 2018)

Independent images: a need for phantom based image quality assessment using model observers? - Ramona W. Bouwman; Christiana Balta; David R. Dance; Kenneth C. Young; Alistair Mackenzie; Ioannis Sechopoulos; Ruben E. van Engen (IWBI, 2018)

Automatic estimation of glandular tissue loss due to limited reconstruction voxel size in tomographic images of the breast. - Marco Caballo; Christian Fedon; Luca Brombal; Koen Michielsen; Renata Longo; Ioannis Sechopoulos (IWBI, 2018)

Dose reduction in breast CT by spectrum switching. - Koen Michielsen; Christian Fedon; James G. Nagy; Ioannis Sechopoulos (IWBI, 2018)

How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study. - Alejandro Rodríguez-Ruiz; Ruben E. van Engen; Koen Michielsen; Ramona W. Bouwman; Suzan Vreemann; Nico Karssemeijer; Ritse M. Mann; Ioannis Sechopoulos (IWBI, 2018)

Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support? - Alejandro Rodríguez-Ruiz; Jan-Jurre Mordang; Nico Karssemeijer; Ioannis Sechopoulos; Ritse M. Mann (IWBI, 2018)

Pectoral muscle segmentation in breast tomosynthesis with deep learning. - Alejandro Rodríguez-Ruiz; Jonas Teuwen; Kaman Chung; Nico Karssemeijer; Margarita Chevalier; Albert Gubern-Mérida; Ioannis Sechopoulos (Computer-Aided Diagnosis, 2018)

Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction. - Nikita Moriakov; Koen Michielsen; Jonas Adler; Ritse Mann; Ioannis Sechopoulos; Jonas Teuwen (CoRR, 2018)

Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images. - Marco Caballo; Jonas Teuwen; Ritse Mann; Ioannis Sechopoulos (Computer-Aided Diagnosis, 2019)

New difference of Gaussian channel-sets for the channelized Hotelling observer? - Christiana Balta; Ioannis Sechopoulos; Ramona W. Bouwman; Mireille J. M. Broeders; Nico Karssemeijer; Ruben E. van Engen; Wouter J. H. Veldkamp (Image Perception, Observer Performance, and Technology Assessment, 2019)

2D single-slice vs. 3D viewing of simulated tomosynthesis images of a small-scale breast tissue model. - Christiana Balta; Ioannis Sechopoulos; Wouter J. H. Veldkamp; Ruben E. van Engen; Ingrid S. Reiser (Image Perception, Observer Performance, and Technology Assessment, 2019)

Sequential reading effects in Dutch screening mammography. - Craig K. Abbey; Michael A. Webster; Tanya D. Geertse; Danielle van der Waal; Eric Tetteroo; Ruud Pijnappel; Mireille J. M. Broeders; Ioannis Sechopoulos (Image Perception, Observer Performance, and Technology Assessment, 2020)

Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence. - Marco Caballo; Domenico R. Pangallo; Ritse M. Mann; Ioannis Sechopoulos (Comput. Biol. Medicine, 2020)

Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images. - Floris Heutink; Valentin Koch; Berit Verbist; Willem Jan van der Woude; Emmanuel Mylanus; Wendy Huinck; Ioannis Sechopoulos; Marco Caballo (Comput. Methods Programs Biomed., 2020)

Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. - Jonas Teuwen; Nikita Moriakov; Christian Fedon; Marco Caballo; Ingrid S. Reiser; Predrag R. Bakic; Eloy García 001; Oliver Díaz; Koen Michielsen; Ioannis Sechopoulos (Medical Image Anal., 2021)

Adding patient motion from DCE-MRI to anthropomorphic phantoms for dedicated breast CT. - Mikhail Mikerov; Koen Michielsen; Nikita Moriakov; Ioannis Sechopoulos (Image Processing, 2022)

Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors. - Sarah D. Verboom; Marco Caballo; Mireille J. M. Broeders; Jonas Teuwen; Ioannis Sechopoulos (Image Processing, 2022)

Visibility of noise texture changes in CT images. - Luuk J. Oostveen; Kirsten L. Boedeker; Daniel W. Shin; Craig K. Abbey; Ioannis Sechopoulos (Image Perception, Observer Performance, and Technology Assessment, 2022)

FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging. - Teaghan O'Briain; Carlos Uribe; Kwang Moo Yi; Jonas Teuwen; Ioannis Sechopoulos; Magdalena Bazalova-Carter (CoRR, 2022)

End-to-end mammographic breast density quantification with deep learning: preliminary study on simulated mammograms. - Sjoerd A. M. Tunissen; Andrea Motta; Franziska Mauter; Eloy García 001; Oliver Díaz; John M. Boone; Ioannis Sechopoulos; Marco Caballo (Computer-Aided Diagnosis, 2023)

Discriminability of non-Gaussian noise properties in CT. - Kirsten L. Boedeker; Daniel W. Shin; Luuk J. Oostveen; Ioannis Sechopoulos; Craig K. Abbey (Image Perception, Observer Performance, and Technology Assessment, 2023)