fMRIPrep Lifespan - A robust, transparent workflow tailored for neonate and infant MRI
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Updated
Aug 28, 2026 - Python
fMRIPrep Lifespan - A robust, transparent workflow tailored for neonate and infant MRI
Deep learning 3D infant pose estimation model developed during my MSc Individual Project at Imperial College London
[ICDL 25] The official repository of paper 'BLANKET: Anonymizing Faces in Infant Video Recordings'
US infant mortality data, by race, from 1915 to 2013, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.
Purpose of this ZEP-based experiment is to see whether an infant participant can detect a difference between two types of auditory stimuli.
This project is about developing, constructing and using a mechanical breathing simulator. This device can simulate air flows like normal or sick infant and can be used in laboratory conditions or Neonatal Intensive Care Units for further experimentation.
🍼👶Logging baby milk drinking and diaper changes.
Data wrangling code for the Infant Cognition Lab
DeToX is a lightweight Python wrapper around Psychopy and tobii-researcher that simplifies the integration of Tobii hardware with PsychoPy for developmental eye-tracking experiments. Designed with infant research in mind, it streamlines data collection for developmental studies.
Your baby, remembered. Feed it sounds, reactions, routines — it learns what makes YOUR baby laugh, sleep, and stop crying. A parenting co-pilot with memory. 👶
Code and materials for studying how infants learn and adapt to changing, uncertain environments using a probabilistic reversal learning task, anticipatory looking, eye-tracking, EEG, and Hierarchical Gaussian Filter (HGF) computational modelling.
🍼 Self-hosted, privacy-first baby tracking PWA — one-tap logging of feeds, sleep, diapers, growth & health; developmental milestones; local AI insights; and pediatrician-ready reports. NestJS + Next.js + PostgreSQL, mobile apps via Expo.
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