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arssr

[peer review] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation

awesome-image-alignment-and-stitching

A curated list of awesome resources for image alignment and stitching ...

awesome-implicit-representations

A curated list of resources on implicit neural representations.

axial-mlp

Implementation of Axial-MLP in PyTorch

axial-mlp-1

Implementation of Axial-MLP in PyTorch

biogpt

build_biomedia_stitching

This is a repository to facilitate the integration of BioMedIA's stitching module for spinal cord toolbox.

clearmap2

ClearMap 2.0 with WobblyStitcher, TubeMap and CellMap

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

discover-eeg

A pipeline to automatically preprocess, analyze and visualize resting state EEG data.

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

ginr-ipc

The official implementation of Generalizable Implicit Neural Representations with Instance Pattern Composers(CVPR’23 highlight).

hd-bet

MRI brain extraction tool

ich_segmentation

Source code for setting up training of nn-UNet based model for ICH segmentation, and the visualization of the results,

implicit-shape-reconstruction

intervertebral-lookonce

itkmontage

Montaging for microscopy imaging files

ivadomed

Repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

lst-ai

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

miccai-inr.github.io

miccai_amai_lesions_spine

Deep-learning based segmentation of the spinal cord lesion project

multi_contrast_inr

Source Code for our MICCAI Paper: Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.

nnunet

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

p-gnn

Position-aware Graph Neural Networks

pix2pix

Image-to-image translation with conditional adversarial nets

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images