1 code implementation • 27 Sep 2022 • Juan Miguel Valverde, Artem Shatillo, Jussi Tohka
We introduce Sauron, a filter pruning method that eliminates redundant feature maps of convolutional neural networks (CNNs).
1 code implementation • 4 Aug 2021 • Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka
We present MedicDeepLabv3+, a convolutional neural network that is the first completely automatic method to segment cerebral hemispheres in magnetic resonance (MR) volumes of rats with lesions.
1 code implementation • 24 Jan 2020 • Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
RatLesNetv2 obtained similar to higher Dice coefficient values than the other ConvNets and it produced much more realistic and compact segmentations with notably fewer holes and lower Hausdorff distance.
no code implementations • 23 Aug 2019 • Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
Several automatic methods have been developed for different human brain MRI segmentation, but little research has targeted automatic rodent lesion segmentation.