Stars
U-Net implementation in PyTorch for segmentation of bio-images
Source code for DCL-Net, a deep learning model for sensorless freehand 3D ultrasound volume reconstruction.
Python implementation of the Hampel Filter
A powerful toolbox for the analysis of HD-EMG recordings
Automatic muscle tendon junction tracking using deep learning 🦵🏼
ThinkTankGPT leverages LLMs to simulate expert debates on any topic. Users can input a topic of their choice, and the system dynamically generates relevant experts who autonomously engage in a deba…
MSU-Net: Multi-scale U-Net for 2D Medical Image Segmentation
Dafne (Deep Anatomical Federated Network) is a collaborative platform to annotate MRI images and train machine learning models without your data ever leaving your machine.
Matching clinical-grade ultrasound post-processing without the hassle.
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks
3D Volume Reconstruction of Raw Ultrasound Radiofrequency Data
Contextual Attention Network: Transformer Meets U-Net
Reviews for the Journal of Open Source Software
Tutorial and resources for our 3D ultrasound system using 3D Slicer
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
PyTorch package for the discrete VAE used for DALL·E.
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.
SASHIMI segmentation is a Matlab App for semi-automatic interactive segmentation of multi-slice images.
Toy repository for the Programming for Life Sciences course at the Biozentrum, University of Basel
A deep learning approach for analysing muscle architecture from musculoskeletal ultrasound images