21 citations · 75 across the 16 of their papers we have counts for
3 papers · 1 filter
Graph Residual Conjugate Diffusion: SNR-Equalized Heat Flow for Graph Signals
Jinwei Li, Daniel Tenbrinck
Diffusion models generate data by reversing a forward corruption process that typically approaches a simple Gaussian prior. Recent work has extended this framework to signals suppo…
Hybrid Methods for Robust Tabular Data Imputation
Jinwei Li, Michelle Bruch, Daniel Tenbrinck
Missing data are a fundamental challenge in statistical analysis and machine learning, as the choice of imputation method substantially impacts downstream inference. In this work,…
FlowMoDL: Model-Based Deep Learning with Conjugate-Gradient Data Consistency for Highly Accelerated 4D Flow MRI Reconstruction
Tristan Gottwald, Michelle Bruch, Mubashir-Ul Hassan +6
We present FlowMoDL, an unrolled neural network for highly accelerated 4D flow MRI reconstruction that directly optimizes for both anatomical magnitude and phase-derived velocity a…