4 papers
Decoding Functional Networks for Visual Categories via GNNs
Shira Karmi, Galia Avidan, Tammy Riklin Raviv
Understanding how large-scale brain networks represent visual categories is fundamental to linking perception and cortical organization. Using high-resolution 7T fMRI from the Natu…
Boundary-Aware Instance Segmentation in Microscopy Imaging
Thomas Mendelson, Joshua Francois, Galit Lahav +1
Accurate delineation of individual cells in microscopy videos is essential for studying cellular dynamics, yet separating touching or overlapping instances remains a persistent cha…
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
Itay Benou, Tammy Riklin-Raviv
Modern deep neural networks have now reached human-level performance across a variety of tasks. However, unlike humans they lack the ability to explain their decisions by showing w…
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…