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A list of Medical imaging datasets.
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
Jupyter metapackage for installation, docs and chat
Active contour model (aka snakes) implemented in python.
A minimalist and modern Beamer theme
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
The most cited deep learning papers
A python wrapper for Krähenbühls dense CRF for medical image volumes.
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
Preview, create PDFs, and print documents in your own style with templates in iA Writer.
Simple, realtime visualization of neural network training performance.
Segment 3D MRIs of the brain into anatomical regions
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-s…
A technical report on convolution arithmetic in the context of deep learning
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
C3D is a modified version of BVLC caffe to support 3D ConvNets.
A highly configurable toolkit for training 3D/2D CNNs and general Neural Networks (superceded by https://github.com/ELEKTRONN/elektronn3)
Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.
U-Net: Convolutional Networks for Biomedical Image Segmentation
Generic U-Net Tensorflow implementation for image segmentation