On the crucial impact of the coupling projector-backprojector in iterative tomographic reconstruction. - Filippo Arcadu; Marco Stampanoni; Federica Marone (CoRR, 2016)

A Forward Regridding Method With Minimal Oversampling for Accurate and Efficient Iterative Tomographic Algorithms. - Filippo Arcadu; Masih Nilchian; Alain Studer; Marco Stampanoni; Federica Marone (IEEE Trans. Image Process., 2016)

Improving Analytical Tomographic Reconstructions Through Consistency Conditions. - Filippo Arcadu; Jakob Vogel; Marco Stampanoni; Federica Marone (Fundam. Informaticae, 2017)

Deep learning algorithm predicts diabetic retinopathy progression in individual patients. - Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; Jeff Willis; Zdenka Haskova; Marco Prunotto (npj Digit. Medicine, 2019)

Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients. - Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; Jeff Willis; Zdenka Haskova; Marco Prunotto (npj Digit. Medicine, 2020)

Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients. - Jakub Nalepa; Krzysztof Kotowski; Bartosz Machura; Szymon Adamski; Oskar Bozek; Bartosz Eksner; Bartosz Kokoszka; Tomasz Pekala; Mateusz Radom; Marek Strzelczak; Lukasz Zarudzki; Agata Krason; et al. (Comput. Biol. Medicine, 2023)

From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models. - Germán Barquero; Nadine Bertsch; Manojkumar Marramreddy; Carlos Chacón; Filippo Arcadu; Ferran Rigual; Nicky Sijia He; Cristina Palmero; Sergio Escalera; Yuting Ye; Robin Kips (CVPR, 2025)

XR-MBT: Multi-Modal Full Body Tracking for XR Through Self-Supervision with Learned Depth Point Cloud Registration. - Denys Rozumnyi; Nadine Bertsch; Othman Sbai; Filippo Arcadu; Yuhua Chen; Artsiom Sanakoyeu; Manoj Kumar; Catherine Herold; Robin Kips (WACV, 2025)