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Multimodal MRI Neuroimaging with Motion Compensation Based on Particle Filtering
Head motion in fMRI acquired using slice-based Echo Planar Imaging (EPI) can be estimated and compensated by aligning the images onto a reference volume through image registration.
Time-series modeling with undecimated fully convolutional neural networks
Our experimental results verify that using the undecimated version of the FCN is necessary in order to allow for effective time-series modeling.
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines
In order to address this issue, we propose a weakly supervised approach to learn mid-level features, where only class-level supervision is provided during training.
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