| 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 | 52 | 2021 |
| Towards an efficient segmentation of small rodents brain: a short critical review R Feo, F Giove Journal of neuroscience methods 323, 82-89, 2019 | 35 | 2019 |
| 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 | 28 | 2021 |
| 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 | 24 | 2021 |
| 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 | 16 | 2020 |
| 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 | 14 | 2019 |
| 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, 2022 | 7 | 2022 |
| Automatic rodent brain mri lesion segmentation with fully convolutional networks JM Valverde, A Shatillo, R De Feo, O Gröhn, A Sierra, J Tohka Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 7 | 2019 |
| 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 | 4 | 2019 |
| 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 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 1 | 2022 |
| 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, ... | | |
Jussi TohkaUniversity of Eastern Finland, FinlandVerified email at uef.fi
