Aaron Defazio

Publications by Year

Research Areas

Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques, Medical Imaging Techniques and Applications, Advanced Neural Network Applications, Advanced MRI Techniques and Applications

Most-Cited Works

• → SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives(2014)928 cited
• → fastMRI: An Open Dataset and Benchmarks for Accelerated MRI(2018)572 cited
• → fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning(2020)384 cited
• → Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge(2020)253 cited
• → Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study(2020)160 cited
• Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems(2014)
• → End-to-End Variational Networks for Accelerated MRI Reconstruction(2020)59 cited
• A Simple Practical Accelerated Method for Finite Sums(2016)