Reconstruction of synaptic structures in electron microscopy

Benchmarks for Graph Machine Learning in Brain Connectomics

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

An image enhancement and segmentation pipeline for generating connectomic reconstructions from X-ray holographic nanotomography, using CycleGANs, Local Shape Descriptors, and Mutex Watershed. Built…

Deep-learning based semantic and instance segmentation for 3D Electron Microscopy and other bioimage analysis problems based on pytorch.

Compute cross sectional area and 2D projections of 3D images.

Creates and manages driver repositories for use by HP Image Assistant (HPIA) using a Powershell based GUI