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Marco Caballo
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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
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
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
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
Automatic estimation of glandular tissue loss due to limited reconstruction voxel size in tomographic images of the breast. IWBI 2018: 107181G
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