Juan Miguel Valverde
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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
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
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
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
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
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
Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry
JM Valverde, V Imani, JD Lewis, J Tohka
Challenge in Adolescent Brain Cognitive Development Neurocognitive …, 2019
Region-wise loss for biomedical image segmentation
JM Valverde, J Tohka
Pattern Recognition 136, 109208, 2023
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning
JM Valverde, A Shatillo, J Tohka
arXiv preprint arXiv:2209.13590, 2022
MRI Segmentation With Deep Learning: Application in Rodent Brain Images with Lesions
JM Valverde
Itä-Suomen yliopisto, 2022
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