27 citations · 50 across the 4 of their papers we have counts for
4 papers
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning
Juan Miguel Valverde, Artem Shatillo, Jussi Tohka
We introduce Sauron, a filter pruning method that eliminates redundant feature maps of convolutional neural networks (CNNs). Sauron optimizes, jointly with the loss function, a reg…
Automatic cerebral hemisphere segmentation in rat MRI with lesions via attention-based convolutional neural networks
Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo +1
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…
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation
Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo +3
We present a fully convolutional neural network (ConvNet), named RatLesNetv2, for segmenting lesions in rodent magnetic resonance (MR) brain images. RatLesNetv2 architecture resemb…
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks
Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo +3
Manual segmentation of rodent brain lesions from magnetic resonance images (MRIs) is an arduous, time-consuming and subjective task that is highly important in pre-clinical researc…