MIRTK based SVR reconstruction

The Medical Image Analysis Laboratory Super-Resolution ToolKit (MIALSRTK) consists of a set of C++ and Python processing and workflow tools necessary to perform motion-robust super-resolution fetal MRI reconstruction in the BIDS Apps framework.

Fetal Region Localisation using PyTorch and Soft Proposal Networks (paper: https://arxiv.org/abs/1808.00793)

Bayesian-based fetal genotyping using maternal cell-free DNA and parental sequencing data.

DiameterNet: Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound

Portable, modular, reusable, and reproducible processing pipeline software for fetal brain MRI super-resolution

Rapid head‐pose detection for automated slice prescription of fetal‐brain MRI

Predicting Fetal Health, and Birth-Weight of fetus using Machine Learning

Deep learning analysis tools for perinatal MRI

SVRTK packaged as a MONAI Application Package (MAP), including for deployment on AIDE

Free open source Model Library designed to evaluate human physiological evolution in adulthood, childhood, neonatal and fetal life in the face of the occurrence of cardiovascular and respiratory anomalies or different clinical practices.

Python scripts for processing fetal MRI at the FNNDSC

👶🏻 Detecção de sofrimento fetal usando IA e ML

Code for Frohlich et al. 2025 BioRxiv preprint