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Riccardo De Feo
Riccardo De Feo
Charles River Laboratories
Verified email at crl.com
Title
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Cited by
Year
Transfer learning in magnetic resonance brain imaging: a systematic review
JM Valverde, V Imani, A Abdollahzadeh, R De Feo, M Prakash, R Ciszek, ...
Journal of imaging 7 (4), 66, 2021
912021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: the ADAM challenge
KM Timmins, IC van der Schaaf, E Bennink, YM Ruigrok, X An, ...
Neuroimage 238, 118216, 2021
502021
Towards an efficient segmentation of small rodents brain: a short critical review
R Feo, F Giove
Journal of neuroscience methods 323, 82-89, 2019
422019
Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases
R De Feo, A Shatillo, A Sierra, JM Valverde, O Gröhn, F Giove, J Tohka
NeuroImage 229, 117734, 2021
292021
Performance of diffusion kurtosis imaging versus diffusion tensor imaging in discriminating between benign tissue, low and high Gleason grade prostate cancer
MG Di Trani, M Nezzo, AS Caporale, R De Feo, R Miano, A Mauriello, ...
Academic Radiology 26 (10), 1328-1337, 2019
202019
RatLesNetv2: a fully convolutional network for rodent brain lesion segmentation
JM Valverde, A Shatillo, R De Feo, O Gröhn, A Sierra, J Tohka
Frontiers in neuroscience 14, 610239, 2020
192020
Convolutional neural networks enable robust automatic segmentation of the rat hippocampus in mri after traumatic brain injury
R De Feo, E Hämäläinen, E Manninen, R Immonen, JM Valverde, ...
Frontiers in Neurology 13, 820267, 2022
142022
Apparent diffusion coefficient assessment of brain development in normal fetuses and ventriculomegaly
MG Di Trani, L Manganaro, A Antonelli, M Guerreri, R De Feo, C Catalano, ...
Frontiers in Physics 7, 160, 2019
102019
Automatic rodent brain mri lesion segmentation with fully convolutional networks
JM Valverde, A Shatillo, R De Feo, O Gröhn, A Sierra, J Tohka
International Workshop on Machine Learning in Medical Imaging, 195-202, 2019
82019
Automatic cerebral hemisphere segmentation in rat mri with ischemic lesions via attention-based convolutional neural networks
JM Valverde, A Shatillo, R De Feo, J Tohka
Neuroinformatics 21 (1), 57-70, 2023
62023
Acute hippocampal damage as a prognostic biomarker for cognitive decline but not for epileptogenesis after experimental traumatic brain injury
E Manninen, K Chary, R De Feo, E Hämäläinen, P Andrade, T Paananen, ...
Biomedicines 10 (11), 2721, 2022
42022
Automated skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases
R De Feo, A Shatillo, A Sierra, JM Valverde, O Gröhn, F Giove, J Tohka
bioRxiv, 2020
22020
Hippocampal position and orientation as prognostic biomarkers for posttraumatic epileptogenesis: An experimental study in a rat lateral fluid percussion model
R De Feo, E Manninen, K Chary, E Hämäläinen, R Immonen, P Andrade, ...
Epilepsia 63 (7), 1849-1861, 2022
12022
Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles
O Rukundo, A Behanova, R De Feo, S Ronkko, J Oja, J Tohka
arXiv preprint arXiv:2310.19630, 2023
2023
Convolutional neural networks for the segmentation of small rodent brain MRI
R De Feo
Itä-Suomen yliopisto, 2023
2023
Automatic segmentation of the rat brain hippocampus in MRI after traumatic brain injury
R De Feo, E Hämäläinen, E Manninen, R Immonen, JM Valverde, ...
bioRxiv, 2021.08. 03.454863, 2021
2021
Automatic hemisphere segmentation in rodent MRI with lesions.
JM Valverde, A Shatillo, R de Feo, J Tohka
CoRR, 2021
2021
Apparent diffusion coefficient values of the normal foetal brain developing
MG Di Trani, L Manganaro, A Antonelli, M Guerreri, R De Feo, S Bernardo, ...
Proceedings of the International School on Magnetic Resonance and Brain …, 2018
2018
Healthy human aging and sex dimorphism in bone-muscle cross talk: a 1H MRS investigation in bone marrow and muscle of legs.
S Capuani, R Coccurello, R De Feo, L Rossi, G Tuttobene, E Agrimi, ...
Reliable assessment of apparent diffusion coefficient in normal and ventriculomegaly fetal brains
MG Di Trani, L Manganaro, A Antonelli, M Guerreri, R De Feo, M Borrelli, ...
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