FSE Compensated Motion Correction for MRI Using Data Driven Methods. - Brett Levac; Sidharth Kumar; Sofia Kardonik; Jonathan I. Tamir (MICCAI (6), 2022)

MRI Reconstruction with Side Information using Diffusion Models. - Brett Levac; Ajil Jalal; Kannan Ramchandran; Jonathan I. Tamir (ACSSC, 2023)

Accelerated Motion Correction for MRI Using Score-Based Generative Models. - Brett Levac; Ajil Jalal; Jonathan I. Tamir (ISBI, 2023)

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models. - Sriram Ravula; Brett Levac; Ajil Jalal; Jonathan I. Tamir; Alexandros G. Dimakis (CoRR, 2023)

INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D Accelerated MRI Reconstruction. - Yamin Ishraq Arefeen; Brett Levac; Zach Stoebner; Jonathan I. Tamir (IEEECONF, 2024)

Accelerated, Robust Lower-Field Neonatal MRI with Generative Models. - Yamin Ishraq Arefeen; Brett Levac; Jonathan I. Tamir (CoRR, 2024)

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data. - Asad Aali; Giannis Daras; Brett Levac; Sidharth Kumar; Alex Dimakis; Jonathan I. Tamir (ICLR, 2025)

Double Blind Imaging with Generative Modeling. - Brett Levac; Ajil Jalal; Kannan Ramchandran; Jonathan I. Tamir (CoRR, 2025)

Diffusion Probabilistic Generative Models for Accelerated, in-NICU Permanent Magnet Neonatal MRI. - Yamin Ishraq Arefeen; Brett Levac; Bhairav Patel; Chang Ho; Jonathan I. Tamir (CoRR, 2025)