Motion correction of fetal brain MRI

C++ software package to reconstruct structural and diffusion MRI of fetal brain.

Maria Deprez, 2024

 Github

Autism prediction on the ABIDE dataset

Comparison and interpretation of machine learning classifiers to predict autism on the ABIDE multimodal dataset.

Yilan Dong, 2024

 Github

Fetal brain transient segmentation

Automatic Segmentation of Fetal brain into 25 tissues L/R including transient regions (Subplate and the Proliferative Zones: Ventricular Zone and Ganglionic Eminence) - trained with dHCP subjects from 21 to 36 weeks of gestational age.

Helena Sousa, 2023

 Github

Multi-task Anomaly Segmentation and Classification

A Pytorch and MONAI based multi-task framework for multi-class segmentation and classification.

Paula Ramirez Gilliland, 2023

 Github

Attention-driven multi-channel deformable registration of structural and microstructural neonatal data

Companion code for the "Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data" paper where we developed an attention-based multi-channel deep learning image registration framework that aims to combine information from structural MRI neonatal scans with diffusion-derived maps.

Irina Grigorescu, 2023

 Github

Harmonised segmentation of neonatal brain MRI

Companion code for the "Harmonized Segmentation of Neonatal Brain MRI" paper where we investigated unsupervised domain adaptation (UDA) methods and proposed the use of NCC loss to enforce image similarity between real and synthesised images, with the aim of predicting brain tissue segmentations of T2w MRI data of an unseen neonatal population.

Irina Grigorescu, 2023

 Github

Fetal SS FSE Simulation - A modified FaBiAN phantom

A silmulation of single-shot Fast spin echo sequences on a simulated moving fetal brain for a Philip\'s MRI system.

Suryava Bhattacharya, 2023

 Github