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Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders (CVPR 2025, Highlight)
Code developed for analysis of infant-parent interactions and infant fNIRS data collected during unconstrained interactions
iCatcher+: Robust and automated annotation of infant gaze from videos collected in laboratory, field, and online studies
Methods to automate movement-based assessments for infants using video analysis
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
The Fetal Tissue Annotation and Segmentation Challenge (FeTA) at MICCAI 2024 aims to advance multi-class image segmentation and biometric measurement prediction for fetal brain MRIs. The challenge …
A U-Net model for segmentation of fetal brain MRI
HC18—Automated measurement of fetal head circumference
GPU accelerated source code for motion compensation of multi-stack MRI data
Trustworthy AI method based on Dempster-Shafer theory - application to fetal brain 3D T2w MRI segmentation
Automated Preprocessing Pipeline for Fetal Resting-State fMRI Data
A toolkit for fetal brain localization and segmentation using deep learning
fMRIPrep Lifespan - A robust, transparent workflow tailored for neonate and infant MRI
Synthstrip integration to be used across nipreps
The NiPreps' Reporting and Visualization system - report templates and "reportlets"
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
Code for the paper "A joint brain extraction and image quality assessment framework for fetal brain MRI slices"
Displays regional stats on Freesurfer surfaces in MATLAB
Surface version of the M-CRIB atlases.
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…
Segmentation and localisation for fetal MRI
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI
Example code for fully automated segmentation and motion correction of the fetal brain in MRI