Stars
NeuroCade brings neuroimaging workflows into one local, researcher-friendly workspace: natively run neuroimaging tools like FastSurfer, track cases and analysis outputs. All functions are run with …
Neuro Lesion Inpainting Tool (neuroLIT / FastSurfer-LIT) for lesion inpainting e.g. for whole brain segmentation and cortical surface reconstruction in the presence of tumor, surgical cavities or o…
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever.
AI agents running research on single-GPU nanochat training automatically
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Data Consistent Deep Rigid MRI Motion Correction
This is the repository that accompanies the manuscript "Deep Learning of MRI Contrast Enhancement for Mapping Cerebral Blood Volume from Single-Modal Non-Contrast Scans of Aging and Alzheimer's Dis…
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Code for deep learning-based glioma/tumor growth models
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
Preprocessing code for MR images (uses CaPTk/BRATS pipeline).
Code for the paper "Density-based weighting for imbalanced regression". Contains an implementation for our imbalanced regression method and the experiments found in the paper.
Lightweight Hyperparameter Optimization 🚂
Implementation of Multi-View Information Bottleneck
【Code of CVPR2021 paper】Recurrent Multi-view Alignment Network for Unsupervised Surface Registration (CVPR 2021)
Public repo for Augmented Multiscale Deep InfoMax representation learning
Re-implementation of music transformer paper published for ICLR 2019.
MusicTransformer written for MaestroV2 using the Pytorch framework for music generation
a pytorch implementation of self-attention with relative position representations
Magnificent app which corrects your previous console command.
A deep learning python package for neuroimaging data. Made by:
Comparison of IQA models in Perceptual Optimization
Python implementations of GRAPPA-like algorithms.
Awesome list of software that I use to do research in medical imaging.
MRI external plugin for Python Sparse data Analysis Package