133 citations · 183 across the 7 of their papers we have counts for
7 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…
Region-wise Loss for Biomedical Image Segmentation
Juan Miguel Valverde, Jussi Tohka
We propose Region-wise (RW) loss for biomedical image segmentation. Region-wise loss is versatile, can simultaneously account for class imbalance and pixel importance, and it can b…
Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review
Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh +4
Transfer learning refers to machine learning techniques that focus on acquiring knowledge from related tasks to improve generalization in the tasks of interest. In MRI, transfer le…
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…
Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry
Juan Miguel Valverde, Vandad Imani, John D. Lewis +1
We propose a four-layer fully-connected neural network (FNN) for predicting fluid intelligence scores from T1-weighted MR images for the ABCD-challenge. In addition to the volumes…
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…