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Generating Artistic Images Via Few-Shot Style Transfer
Generating images from a predefined style with heterogeneous and limited data is a challenging task for generative models. This work …
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A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment
We present a novel deep learning approach to categorical segmentation of lung CTs of COVID-19 patients. Specifically, we partition the …
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Deep Semi-Supervised Bias Field Correction Of Mr Images
A bias field is an artifact inherent to MRI scanners which is manifested by a smooth intensity variation across the scans. We present …
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Microscopy Cell Segmentation Via Convolutional LSTM Networks
Live cell microscopy sequences exhibit complex spatial structures and complicated temporal behaviour, making their analysis a …
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DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography
We present DeepTract, a deep-learning framework for estimating white matter fibers orientation and streamline tractography. We adopt a …
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Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri
Image segmentation is often considered a deterministic process with a single ground truth. Nevertheless, in practice, and in …
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Symmetry-Based Analysis of Diffusion MRI for the Detection of Brain Impairments
We present a novel computational approach to detect white-matter brain impairments following stroke or Traumatic Brain Injuries (TBI). …
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Microscopy cell segmentation via adversarial neural networks
We present a novel method for cell segmentation in microscopy images which is inspired by the Generative Adversarial Neural Network …
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Model-dependent uncertainty estimation of medical image segmentation
Segmentation is a prevalent research area in medical imaging analysis. Nevertheless, estimation of the uncertainty margins of the …
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Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players
We present the concept of fiber-flux density for locally quantifying white matter (WM) fiber bundles. By combining scalar diffusivity …
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