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astra-toolboxToolbox of high-performance GPU primitives for 2D and 3D tomography |
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convexAdamFast and accurate optimisation for registration with little learning |
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deepregMedical image registration using deep learning |
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denoisegJoint Denoising and Segmentation |
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divnoisingDiversity Denoising with Fully Convolutional Variational Autoencoders |
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histolabWSI processing in deep learning pipelines |
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histologypseudo-histology synthesis training from corresponding micro-CT slices on manually registered samples |
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Active Learning with HRNetDeep High-Resolution Representation Learning for Visual Recognition |
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ilastikLeverage machine learning algorithms to easily segment, classify, track and count your cells or other experimental data. Most operations are interactive, even on large datasets: you just draw the labels and immediately see the result. No machine learning expertise required. |
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naparifast, interactive, multi-dimensional image viewer for Python |
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nnunetAuto-adaptive semantic segmentation method |
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noise2inverseSelf-supervised deep convolutional denoising for linear inverse problems in imaging |
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pygPyG is a library built upon PyTorch to easily write and train Graph Neural Networks for a wide range of applications related to structured data. |
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registration-autofusedata-driven fusion strategy for deformable image registration |
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SAM, SAM++ and Cross-SAMmatch arbitrary anatomical landmarks between two radiological images (e.g. CT, MR, X-ray, etc.) |
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sunHighly accurate segmentation of large 3D volumes (MDLMAs scaling-the-unet) |
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tomopyImage reconstruction algorithms for tomography |
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voxelmorphgeneral purpose library for learning-based tools for alignment/registration and modelling with deformations |