Pingfan Song's Projects
Landing page for BART Webinars
The original bloch equation simulator was a Matlab mex file created by Brian Hargreaves at Stanford University. This modification to run it as a Python C extension
Graphical simulation of NMR Bloch equations written in Python
Content-aware Scalable Deep Compressed Sensing (TIP 2022) [PyTorch]
A repository for Turing AI Fellow Hackathon event
Coupled Dictionary Learning based Multi-contrast MRI Reconstruction
coupled dictionary learning for multimodal image super-resolution
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing, TIP2021 [PyTorch Code]
Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
Official implementation of Deep Convolutional Dictionary Learning for Image Denoising.
Accepted by CVPR 2022
Light-field Microscopy has emerged as a type of scanless, high-speed, 3D imaging tool. We propose model-based explainable deep learning approaches for LFM imaging, which integrates wave-optics theory, sparse representation and non-linear optimization with the artifcial neural network.
A collection of various deep learning architectures, models, and tips
This repository contains implementations and illustrative code to accompany DeepMind publications
A library for scientific machine learning and physics-informed learning
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
PyTorch implementation of Deep Semantic Dictionary Learning for Multi-label Image Classification, AAAI 2021.
A large-scale dataset of both raw MRI measurements and clinical MRI images.
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Create UIs for your machine learning model in Python in 3 minutes
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
HYDRA: Hybrid deep magnetic resonance fingerprinting
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)
Machine Learning and Artificial Intelligence for Medicine.
PyTorch implementation of MoDL: Model Based Deep Learning Architecture for Inverse Problems
Stanford University Rad229 Class Code: MRI Signals and Sequences
Learning in infinite dimension with neural operators.
DAGs with NO TEARS: Continuous Optimization for Structure Learning
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