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Filippo Arcadu

Showing results (1-10 of 13) with videos related to

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Optics Express|July 14, 2016
Fast gridding projectors for analytical and iterative tomographic reconstruction of differential phase contrast dataFilippo Arcadu, Marco Stampanoni, Federica Marone
Optics Letters|March 16, 2017
Contrast-transfer-function phase retrieval based on compressed sensingPablo Villanueva-Perez, Filippo Arcadu, Peter Cloetens, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 23, 2016
A Forward Regridding Method With Minimal Oversampling for Accurate and Efficient Iterative Tomographic AlgorithmsFilippo Arcadu, Masih Nilchian, Alain Studer, et al.
NPJ Digital Medicine|December 9, 2020
Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patientsFilippo Arcadu, Fethallah Benmansour, Andreas Maunz, et al.
NPJ Digital Medicine|September 26, 2019
Deep learning algorithm predicts diabetic retinopathy progression in individual patientsFilippo Arcadu, Fethallah Benmansour, Andreas Maunz, et al.
Journal of Pathology Informatics|October 21, 2022
MMO-Net (Multi-Magnification Organ Network): A use case for Organ Identification using Multiple Magnifications in Preclinical Pathology StudiesCitlalli Gámez Serna, Fernando Romero-Palomo, Filippo Arcadu, et al.
Optics Express|February 25, 2016
Signal-to-noise criterion for free-propagation imaging techniques at free-electron lasers and synchrotronsPablo Villanueva-Perez, Bill Pedrini, Rajmund Mokso, et al.
Scientific Reports|October 4, 2017
Tomographic in vivo microscopy for the study of lung physiology at the alveolar levelGoran Lovric, Rajmund Mokso, Filippo Arcadu, et al.
Therapeutic Advances in Gastrointestinal Endoscopy|March 15, 2021
Training and deploying a deep learning model for endoscopic severity grading in ulcerative colitis using multicenter clinical trial dataBenjamin Gutierrez Becker, Filippo Arcadu, Andreas Thalhammer, et al.
Journal of Personalized Medicine|July 2, 2021
Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence TomographyAndreas Maunz, Fethallah Benmansour, Yvonna Li, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Optics Express|July 14, 2016
Fast gridding projectors for analytical and iterative tomographic reconstruction of differential phase contrast dataFilippo Arcadu, Marco Stampanoni, Federica Marone
Optics Letters|March 16, 2017
Contrast-transfer-function phase retrieval based on compressed sensingPablo Villanueva-Perez, Filippo Arcadu, Peter Cloetens, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 23, 2016
A Forward Regridding Method With Minimal Oversampling for Accurate and Efficient Iterative Tomographic AlgorithmsFilippo Arcadu, Masih Nilchian, Alain Studer, et al.
NPJ Digital Medicine|December 9, 2020
Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patientsFilippo Arcadu, Fethallah Benmansour, Andreas Maunz, et al.
NPJ Digital Medicine|September 26, 2019
Deep learning algorithm predicts diabetic retinopathy progression in individual patientsFilippo Arcadu, Fethallah Benmansour, Andreas Maunz, et al.
Journal of Pathology Informatics|October 21, 2022
MMO-Net (Multi-Magnification Organ Network): A use case for Organ Identification using Multiple Magnifications in Preclinical Pathology StudiesCitlalli Gámez Serna, Fernando Romero-Palomo, Filippo Arcadu, et al.
Optics Express|February 25, 2016
Signal-to-noise criterion for free-propagation imaging techniques at free-electron lasers and synchrotronsPablo Villanueva-Perez, Bill Pedrini, Rajmund Mokso, et al.
Scientific Reports|October 4, 2017
Tomographic in vivo microscopy for the study of lung physiology at the alveolar levelGoran Lovric, Rajmund Mokso, Filippo Arcadu, et al.
Therapeutic Advances in Gastrointestinal Endoscopy|March 15, 2021
Training and deploying a deep learning model for endoscopic severity grading in ulcerative colitis using multicenter clinical trial dataBenjamin Gutierrez Becker, Filippo Arcadu, Andreas Thalhammer, et al.
Journal of Personalized Medicine|July 2, 2021
Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence TomographyAndreas Maunz, Fethallah Benmansour, Yvonna Li, et al.
Pageof 2