Projects

I developed autogressive image diffusion models - AID for MRI reconstruction.
I’m currently working on diffusion models and its application on MRI reconstruction.
I use python, C/C++, shell and Latex. I also a developer for BART.
I have spent much time with Tensorflow/Pytorch/JAX.
I have a proven track record of developing and deploying generative models

Feel free to email me if you are interested in my projects.

Autogressive image diffusion: generation of image sequences and application in MRI reconstruction

autoregressive, diffusion models, image sequences, inverse problem, MRI reconstruction

Bayesian MRI reconstruction with joint uncertainty estimation using diffusion models

sampling posterior, Bayesian inference, diffusion models, uncertainty estimation, inverse problem, MR image reconstruction, Monte Carlo, Markov chain

Generative Image Priors for MRI Reconstruction Trained from Magnitude-Only Images

generative pretraining, image priors, diffusion models, inverse problem, MR image reconstruction, proximal operator, optimization

Deploy generative image priors for image reconstruction using BART

MR image reconstruction, model deployment, TensorFlow C API, TensorFlow computation graph

MRI reconstruction using deep Bayesian estimation

generative model, PixelCNN, Bayesian estimation, MR image reconstruction, optimization

Generalized deep learning-based proximal gradient descent for MR reconstruction

MR image reconstruction, proximal gradient descent, denoising autoencoder