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FetalSynthSeg Code
Tools for merging pretrained large language models.
Official repository of Evolutionary Optimization of Model Merging Recipes
Medical Meta Learner - Leveraging knowledge from previous tasks
[ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
Anatomical Prior Knowledge Guided Super-Resolution Reconstruction of Fetal Brain MR Images
Pipeline for processing MRI acquired in vivo in Human fetus
Utilities for fetal brain reconstruction pipelines
FetMRQC is a tool for quality assessment (QA) and quality control (QC) of T2-weighted (T2w) fetal brain MR images.
[CVPR2024] Fully convolutional slice-to-volume reconstruction for single-stack MRI
Code for the paper "A joint brain extraction and image quality assessment framework for fetal brain MRI slices"
A playbook for systematically maximizing the performance of deep learning models.
Trustworthy AI method based on Dempster-Shafer theory - application to fetal brain 3D T2w MRI segmentation
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀
Minimal package to demonstrate good Python development habits
Implementation of 'Stress: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning'
NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.
Template repo for bootstrapping and maintaining SOPs (Standard operation procedures)
Code examples for “Interactive Data Visualization for the Web”
FNNDSC / pl-fetal-brain-assessment
Forked from ilegorreta/Automatic-Fetal-Brain-Quality-Assessment-ToolQuality Assessment tool for fetal brain MRIs, able to score each volume through a deep learning regression model. Developed using Python3 and Keras/Tensorflow framework.