Marco Caballo

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Digital Mammography

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Image Anal.

Comput. Biol. Medicine

Publications

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)
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)
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)
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 (2021)
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 (2020)
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 (2020)
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 (2020)
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)
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)