6 papers
Translational Motion Compensation for Soft Tissue Velocity Images
Christina Koutsoumpa, Jennifer Keegan, David Firmin +2
Purpose: Advancements in MRI Tissue Phase Velocity Mapping (TPM) allow for the acquisition of higher quality velocity cardiac images providing better assessment of regional myocard…
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network
Zhongliu Xie, Duncan Gillies
Over the past decades, state-of-the-art medical image segmentation has heavily rested on signal processing paradigms, most notably registration-based label propagation and pair-wis…
Learning Multiple Categories on Deep Convolution Networks
Mohamed Hajaj, Duncan Gillies
Deep convolution networks have proved very successful with big datasets such as the 1000-classes ImageNet. Results show that the error rate increases slowly as the size of the data…
Batch Normalization and the impact of batch structure on the behavior of deep convolution networks
Mohamed Hajaj, Duncan Gillies
Batch normalization was introduced in 2015 to speed up training of deep convolution networks by normalizing the activations across the current batch to have zero mean and unity var…
Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements
Carlos E. Thomaz, Vagner Amaral, Gilson A. Giraldi +2
Research on human face processing using eye movements has provided evidence that we recognize face images successfully focusing our visual attention on a few inner facial regions,…
Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks
Luis Enrique Sucar, Duncan F. Gillies
Bayesian networks have been used extensively in diagnostic tasks such as medicine, where they represent the dependency relations between a set of symptoms and a set of diseases. A…