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2020 – today
- 2023
[c19]Sjoerd A. M. Tunissen, Andrea Motta, Franziska Mauter
, Eloy García, Oliver Díaz, John M. Boone, Ioannis Sechopoulos, Marco Caballo:
End-to-end mammographic breast density quantification with deep learning: preliminary study on simulated mammograms. Medical Imaging: Computer-Aided Diagnosis 2023- [c18]Kirsten L. Boedeker, Daniel W. Shin, Luuk J. Oostveen, Ioannis Sechopoulos, Craig K. Abbey:
Discriminability of non-Gaussian noise properties in CT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [c17]Mikhail Mikerov, Koen Michielsen, Nikita Moriakov, Ioannis Sechopoulos:
Adding patient motion from DCE-MRI to anthropomorphic phantoms for dedicated breast CT. Medical Imaging: Image Processing 2022 - [c16]Sarah D. Verboom, Marco Caballo, Mireille J. M. Broeders, Jonas Teuwen, Ioannis Sechopoulos:
Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors. Medical Imaging: Image Processing 2022 - [c15]Luuk J. Oostveen, Kirsten L. Boedeker, Daniel W. Shin, Craig K. Abbey, Ioannis Sechopoulos:
Visibility of noise texture changes in CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [i3]Teaghan O'Briain, Carlos Uribe, Kwang Moo Yi, Jonas Teuwen, Ioannis Sechopoulos, Magdalena Bazalova-Carter:
FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging. CoRR abs/2205.14147 (2022) - 2021
- [j5]Jonas Teuwen, Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos:
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. Medical Image Anal. 71: 102061 (2021) - 2020
- [j4]Marco Caballo, Domenico R. Pangallo, Ritse M. Mann, Ioannis Sechopoulos:
Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence. Comput. Biol. Medicine 118: 103629 (2020) - [j3]Floris Heutink, Valentin Koch, Berit Verbist, Willem Jan van der Woude, Emmanuel Mylanus, Wendy Huinck, Ioannis Sechopoulos, Marco Caballo:
Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images. Comput. Methods Programs Biomed. 191: 105387 (2020) - [c14]Craig K. Abbey, Michael A. Webster, Tanya D. Geertse, Danielle van der Waal, Eric Tetteroo, Ruud Pijnappel, Mireille J. M. Broeders, Ioannis Sechopoulos:
Sequential reading effects in Dutch screening mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160G - [i2]Jonas Teuwen, Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos:
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. CoRR abs/2006.06508 (2020)
2010 – 2019
- 2019
- [c13]Marco Caballo, Jonas Teuwen, Ritse Mann, Ioannis Sechopoulos:
Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images. Medical Imaging: Computer-Aided Diagnosis 2019: 109500J - [c12]Christiana Balta, Ioannis Sechopoulos, Ramona W. Bouwman, Mireille J. M. Broeders, Nico Karssemeijer, Ruben E. van Engen, Wouter J. H. Veldkamp:
New difference of Gaussian channel-sets for the channelized Hotelling observer? Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 109520C - [c11]Christiana Balta, Ioannis Sechopoulos, Wouter J. H. Veldkamp, Ruben E. van Engen, Ingrid S. Reiser:
2D single-slice vs. 3D viewing of simulated tomosynthesis images of a small-scale breast tissue model. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 109520V - 2018
- [c10]Joana Boita, Alistair Mackenzie, Ioannis Sechopoulos:
Breast phantom validation of a mammographic image modification method. IWBI 2018: 107180P - [c9]Koen Michielsen, Christian Fedon, James G. Nagy, Ioannis Sechopoulos:
Dose reduction in breast CT by spectrum switching. IWBI 2018: 107180J - [c8]Ramona W. Bouwman, Christiana Balta, David R. Dance, Kenneth C. Young, Alistair Mackenzie, Ioannis Sechopoulos, Ruben E. van Engen:
Independent images: a need for phantom based image quality assessment using model observers? IWBI 2018: 107181N - [c7]Marco Caballo, Christian Fedon, Luca Brombal, Koen Michielsen, Renata Longo, Ioannis Sechopoulos:
Automatic estimation of glandular tissue loss due to limited reconstruction voxel size in tomographic images of the breast. IWBI 2018: 107181G - [c6]Alejandro Rodríguez-Ruiz, Ruben E. van Engen, Koen Michielsen, Ramona W. Bouwman, Suzan Vreemann, Nico Karssemeijer, Ritse M. Mann, Ioannis Sechopoulos:
How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study. IWBI 2018: 107181T - [c5]Alejandro Rodríguez-Ruiz, Jan-Jurre Mordang, Nico Karssemeijer, Ioannis Sechopoulos, Ritse M. Mann:
Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support? IWBI 2018: 1071803 - [c4]Alejandro Rodríguez-Ruiz, Jonas Teuwen, Kaman Chung, Nico Karssemeijer, Margarita Chevalier, Albert Gubern-Mérida, Ioannis Sechopoulos:
Pectoral muscle segmentation in breast tomosynthesis with deep learning. Medical Imaging: Computer-Aided Diagnosis 2018: 105752J - [i1]Nikita Moriakov, Koen Michielsen, Jonas Adler, Ritse Mann, Ioannis Sechopoulos, Jonas Teuwen:
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction. CoRR abs/1808.04640 (2018) - 2016
- [c3]Katharina Holland, Ioannis Sechopoulos, Gerard J. den Heeten, Ritse M. Mann, Nico Karssemeijer:
Performance of Breast Cancer Screening Depends on Mammographic Compression. Digital Mammography / IWDM 2016: 183-189 - 2014
- [c2]Xulei Qin, Guolan Lu, Ioannis Sechopoulos, Baowei Fei:
Breast tissue classification in digital tomosynthesis images based on global gradient minimization and texture features. Medical Imaging: Image Processing 2014: 90341V - 2013
- [j2]Veronica Mejia Bustamante, James G. Nagy, Steve S. J. Feng, Ioannis Sechopoulos:
Iterative Breast Tomosynthesis Image Reconstruction. SIAM J. Sci. Comput. 35(5) (2013) - 2011
- [c1]Xiaofeng Yang, Ioannis Sechopoulos, Baowei Fei:
Automatic tissue classification for high-resolution breast CT images based on bilateral filtering. Medical Imaging: Image Processing 2011: 79623H - 2010
- [j1]Julianne Chung, James G. Nagy, Ioannis Sechopoulos:
Numerical Algorithms for Polyenergetic Digital Breast Tomosynthesis Reconstruction. SIAM J. Imaging Sci. 3(1): 133-152 (2010)
Coauthor Index
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