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- Brown UniversityUS17 papers
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5 papers · 1 filter
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks
Drew Linsley, Junkyung Kim, David Berson +1
Recent successes in deep learning have started to impact neuroscience. Of particular significance are claims that current segmentation algorithms achieve "super-human" accuracy in…
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction
Roberto Souza, Richard Frayne
Decreasing magnetic resonance (MR) image acquisition times can potentially reduce procedural cost and make MR examinations more accessible. Compressed sensing (CS)-based image reco…
Learning what and where to attend
Drew Linsley, Dan Shiebler, Sven Eberhardt +1
Most recent gains in visual recognition have originated from the inclusion of attention mechanisms in deep convolutional networks (DCNs). Because these networks are optimized for o…
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks
Oeslle Lucena, Roberto Souza, Leticia Rittner +2
Convolutional neural networks (CNN) for medical imaging are constrained by the number of annotated data required in the training stage. Usually, manual annotation is considered to…
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections
Juan Eugenio Iglesias, Marc Modat, Loic Peter +6
Nonlinear registration of 2D histological sections with corresponding slices of MRI data is a critical step of 3D histology reconstruction. This task is difficult due to the large…