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MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
Code for the experiments of the ICML 2021 Interpretability workshop paper "This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks"
Automated Detection of Focal Cortical Dysplasia using Deep Learning
A re-implementation of FSL's Brain Extraction Tool in Python
Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)
[IEEE JBHI 2021] Official Implementation for "DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation"
Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"
A modular active learning framework for Python
The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes".
Framework for the reproducible processing of neuroimaging data with deep learning methods
Neural Networks: Zero to Hero
🌙 LunarVim is an IDE layer for Neovim. Completely free and community driven.
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
Image Processing Course at ICMC/USP
A platform for managing machine learning experiments
Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
Automatically delete your old tweets, except for the ones you want to keep
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.