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Graph Neural Network for Cell Tracking in Microscopy Videos
We present a novel graph neural network (GNN) approach for cell tracking in high-throughput microscopy videos. By modeling the entire …
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The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics
The pressing need to reduce the capacity of deep neural networks has stimulated the development of network dilution methods and their …
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DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation
We present the DeepHist - a novel Deep Learning framework for augmenting a network by histogram layers and demonstrate its strength by …
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The Worrisome Impact of an Inter-rater Bias on Neural Network Training
The problem of inter-rater variability is often discussed in the context of manual labeling of medical images. The emergence of …
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Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions
We present the Hue-Net - a novel Deep Learning framework for Intensity-based Image-to-Image Translation. The key idea is a new …
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From a deep learning model back to the brain - inferring morphological markers and their relation to aging
We present a Deep Learning framework for the prediction of chronological age from structural MRI scans. Previous findings associate an …
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QANet -- Quality Assurance Network for Image Segmentation
We introduce a novel Deep Learning framework, which quantitatively estimates image segmentation quality without the need for human …
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