30 citations · 57 across the 7 of their papers we have counts for
8 papers
TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks
Itzik Waizman, Yakov Gusakov, Itay Benou +1
White matter tractography is an advanced neuroimaging technique that reconstructs the 3D white matter pathways of the brain from diffusion MRI data. It can be framed as a pathfindi…
Graph Neural Network for Cell Tracking in Microscopy Videos
Tal Ben-Haim, Tammy Riklin Raviv
We present a novel graph neural network (GNN) approach for cell tracking in high-throughput microscopy videos. By modeling the entire time-lapse sequence as a direct graph where ce…
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics
Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv
The pressing need to reduce the capacity of deep neural networks has stimulated the development of network dilution methods and their analysis. While the ability of and …
DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation
Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
We present the DeepHist - a novel Deep Learning framework for augmenting a network by histogram layers and demonstrate its strength by addressing image-to-image translation problem…
Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions
Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
We present the Hue-Net - a novel Deep Learning framework for Intensity-based Image-to-Image Translation. The key idea is a new technique termed network augmentation which allows a…
The Worrisome Impact of an Inter-rater Bias on Neural Network Training
Or Shwartzman, Harel Gazit, Ilan Shelef +1
The problem of inter-rater variability is often discussed in the context of manual labeling of medical images. The emergence of data-driven approaches such as Deep Neural Networks…
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography
Itay Benou, Tammy Riklin-Raviv
We present DeepTract, a deep-learning framework for estimating white matter fibers orientation and streamline tractography. We adopt a data-driven approach for fiber reconstruction…
Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players
Itay Benou, Ronel Veksler, Alon Friedman +1
We present the concept of fiber-flux density for locally quantifying white matter (WM) fiber bundles. By combining scalar diffusivity measures (e.g., fractional anisotropy) with fi…