Microstructure Informed Myelin Mapping

CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Developing Brain

[ECCV 2024, Oral] FMBoost: Boosting Latent Diffusion with Flow Matching

Materials for the "Efficient Forward Models for Image Reconstruction" educational talk at the 2023 ISMRM Annual Meeting.

Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems

所有小初高、大学PDF教材。

pytorch tutorial for beginners

Code release for AccDiffusion (ECCV 2024)

GLSL surface rendering source code. Compiled versions available from NITRC. Loads 3DS, CTM, DXF, FreeSurfer, GII (GIfTI), GTS, LWO2, MS3D, MZ3, NV (BrainNetViewer), OBJ, OFF, PLY, STL, VTK. Tractog…

Results and Figure generating code for TxLR paper

This project aims to create and simulate a realistic phantom for susceptibility separation algorithm validation.

Analysis of 3D pathology samples using weakly supervised AI - Cell

Synthetic Lagrangian Turbulence by Generative Diffusion Models

本人的科研经验

Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

[ICCV 2023 Oral] Official implementation for "DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion."

Repository for ISMRM 2020 educational session: Step-by-step reconstruction using learned dictionaries

[TMI 2024] "High-Frequency Space Diffusion Model for Accelerated MRI"

RadTract: enhanced tractometry with radiomics-based imaging biomarkers for improved predictive modelling.

Code from the mri_unbound website

Implementation of 'Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models' (Nature Machine Intelligence)

[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging

A Python implementation of global optimization with gaussian processes.

Official implementation of the Fourier-constrained diffusion bridges (FDB) model for MRI reconstruction