Multi-modal data augmentation for machine learning
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Updated
Jun 4, 2019 - Python
Multi-modal data augmentation for machine learning
Rigid registration for 3D MRI
Python library for fast 3D mathematical morphology using CUDA
Synthetic 3d image generation for Vascular Deformation Project.
3D CNN to predict single-phase flow velocity fields
Quantifying the dynamics of long-range cell-cell mechanical communication paper code
Easy-to-use 3D image viewer to include into your medical image processing pipelines.
[IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!
A 3D Slicer extension to use AMASSS, ALI-CBCT and ALI-IOS
A scalable implementation of WobblyStitcher for 3D microscopy images
A set of tools for characterizing and analying 3D images of porous materials
Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation
Easy Volumetric Segmentation with Deep Learning
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