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F. Arcadu · SciRah

Researcher profile · Semantic Scholar

F. Arcadu

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F. Arcadu — researcher profile on SciRah

h-index: 11
Works: 21
Citations: 654

Most-cited papers

Deep learning algorithm predicts diabetic retinopathy progression in individual patients
F. Arcadu, Fethallah Benmansour, Andreas Maunz, J. Willis +2 more
2019npj Digital Medicine279 citations Open access
Semantic Scholar
DDR1 role in fibrosis and its pharmacological targeting.
S. Moll, A. Desmoulière, M. Moeller, J. Pache +9 more
2019Biochimica et biophysica acta. Molecular cell research78 citations Open access
Semantic Scholar
Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.
F. Arcadu, Fethallah Benmansour, Andreas Maunz, J. Michon +5 more
2019Investigative Ophthalmology and Visual Science67 citations Open access
Semantic Scholar
Training and deploying a deep learning model for endoscopic severity grading in ulcerative colitis using multicenter clinical trial data
Benjamin Gutierrez Becker, F. Arcadu, A. Thalhammer, Citlalli Gamez Serna +4 more
2021Therapeutic Advances in Gastrointestinal Endoscopy54 citations Open access
Semantic Scholar
Tomographic in vivo microscopy for the study of lung physiology at the alveolar level
G. Lovric, R. Mokso, F. Arcadu, Ioannis Vogiatzis Oikonomidis +3 more
2017Scientific Reports39 citations Open access
Semantic Scholar
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients
J. Nalepa, K. Kotowski, B. Machura, Szymon Adamski +10 more
2022Comput. Biol. Medicine34 citations Open access
Semantic Scholar
Signal-to-noise criterion for free-propagation imaging techniques at free-electron lasers and synchrotrons.
P. Villanueva-Perez, B. Pedrini, R. Mokso, M. Guizar-Sicairos +2 more
2016Optics Express22 citations Open access
Semantic Scholar
Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients
F. Arcadu, Fethallah Benmansour, Andreas Maunz, J. Willis +2 more
2020npj Digital Medicine14 citations Open access
Semantic Scholar
Contrast-transfer-function phase retrieval based on compressed sensing.
P. Villanueva-Perez, F. Arcadu, P. Cloetens, M. Stampanoni
2017Optics Letters14 citations
Semantic Scholar
Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography
Andreas Maunz, Fethallah Benmansour, Yvonna Li, T. Albrecht +5 more
2021Journal of Personalized Medicine13 citations Open access
Semantic Scholar
A Forward Regridding Method With Minimal Oversampling for Accurate and Efficient Iterative Tomographic Algorithms
F. Arcadu, M. Nilchian, A. Studer, M. Stampanoni +1 more
2016IEEE Transactions on Image Processing11 citations Open access
Semantic Scholar
Imaging samples larger than the field of view: the SLS experience
I. Oikonomidis, G. Lovric, T. Cremona, F. Arcadu +3 more
201710 citations Open access
Semantic Scholar
MMO-Net (Multi-Magnification Organ Network): A use case for Organ Identification using Multiple Magnifications in Preclinical Pathology Studies
Citlalli Gámez Serna, F. Romero-Palomo, F. Arcadu, J. Funk +2 more
2022Journal of Pathology Informatics8 citations Open access
Semantic Scholar
On the crucial impact of the coupling projector-backprojector in iterative tomographic reconstruction
F. Arcadu, M. Stampanoni, F. Marone
2016arXiv.org6 citations
Semantic Scholar
Improving Analytical Tomographic Reconstructions Through Consistency Conditions
F. Arcadu, J. Vogel, M. Stampanoni, F. Marone
2016Fundamenta Informaticae3 citations Open access
Semantic Scholar
Effective segmentation of fresh post-mortem murine lung parenchyma in phase contrast X-ray tomographic microscopy images
I. Oikonomidis, T. Cremona, G. Lovric, F. Arcadu +2 more
20172 citations Open access
Semantic Scholar
Fast gridding projectors for analytical and iterative tomographic reconstruction of differential phase contrast data.
F. Arcadu, M. Stampanoni, F. Marone
2016Optics Express1 citations Open access
Semantic Scholar
Using Machine Learning to Determine Variable Predictors of Exacerbation and Predict Patient-Level Occurrence of Exacerbation from Screening and Baseline Clinical Data
E. Mofor, F. Arcadu, F. Brizzi, A. Soubret +5 more
20200 citations
Semantic Scholar
Introducing the "opacity" for IMPT planning: can it improve robustness and quality of plans?
F. Arcadu
20170 citations
Semantic Scholar
AUTOMATIZED 3 D SEGMENTATION OF ACINAR MICROSTRUCTURE
Z. Wang, T. Koehler, G. Martens, U. van Stevendaal +15 more
20160 citations
Semantic Scholar
Fast reconstruction methods for underconstrained datasets of synchrotron-based tomographic microscopy
F. Arcadu
20160 citations
Semantic Scholar

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M. Prunotto×6
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