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2020 – today
- 2023
[c5]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- 2022
- [c4]Marco Caballo, Wendelien B. G. Sanderink, Luyi Han, Yuan Gao, Alexandra Athanasiou, Ritse M. Mann:
4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer. Medical Imaging: Computer-Aided Diagnosis 2022 - [c3]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 - 2021
- [j3]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
- [j2]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) - [j1]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) - [i1]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
- [c2]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 - 2018
- [c1]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
Coauthor Index
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