Official implementation of BrLP method from "Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge" from MICCAI 2024

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

Tutorial to train a 3D CNN to predict presence of pneumonia from CT scans.

Self-supervised Longitudinal Neighbourhood Embedding (LNE), MICCAI2021 & Speicial Issue on Medical Image Analysis

Website of the BrainHack School

The official implementation of our IPMI 2023 paper "SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation"

[ICCV 2021] Generative Adversarial Registration for Improved Conditional Deformable Templates

Wisely app for PolyHacks2023

Demo and tutorial for PCNtoolkit routines

for qls course

Materials for the 2022 NeuroDataScience Course (McGill QLSC612)

Even more papers for learning git !

Code & Data for Computational Psychiatry Course Tutorial on Machine Learning

structural analysis of neonatal brain MRI scans

Longitudinal Correlation Analysis

A repository for my cool paper (and for teaching git)