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)

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)

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)

4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer. - Marco Caballo; Wendelien B. G. Sanderink; Luyi Han; Yuan Gao; Alexandra Athanasiou; Ritse M. Mann (Computer-Aided Diagnosis, 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)

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)