133 citations · 133 across the 1 of their papers we have counts for
4 papers
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…