Aaron Defazio
Impact in
-
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
Papers in
-
- Stochastic Gradient Optimization Techniques 2
- Artificial Intelligence in Games 1
- Co-authors
- Jure Žbontar (3 shared papers)Tullie Murrell (2 shared papers)Michael P. Recht (2 shared papers)Anuroop Sriram (1 shared paper)Matthew J. Muckley (1 shared paper)Daniel K. Sodickson (1 shared paper)Michael Rabbat (1 shared paper)Florian Knöll (1 shared paper)
- Journals
- Magnetic Resonance in Medicine (1 paper)Neural Computing and Applications (1 paper)Neural Information Processing Systems (1 paper)Zenodo (CERN European Organization for Nuclear Research) (2 papers)ANU Open Research (Australian National University) (1 paper)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Aaron Defazio
10 papers receiving 170 citations
Peers
Comparison fields: 5 of 39
- Health Informatics 6
- Radiology, Nuclear Medicine and Imaging 92
- Computational Mechanics 31
- Acoustics and Ultrasonics 1
- Artificial Intelligence 32
Countries citing papers authored by Aaron Defazio
This map shows the geographic impact of Aaron Defazio's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aaron Defazio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Defazio more than expected).
Fields of papers citing papers by Aaron Defazio
This network shows the impact of papers produced by Aaron Defazio. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aaron Defazio. The network helps show where Aaron Defazio may publish in the future.
Co-authors
The 22 scholars most cited alongside Aaron Defazio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 132 | |
| 2 | A Simple Practical Accelerated Method for Finite Sums | 2016 | 12 |
| 3 | 2014 | 10 | |
| 4 | 2012 | 7 | |
| 5 | Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields | 2015 | 6 |
| 6 | MRI Banding Removal via Adversarial Training | 2020 | 1 |
| 7 | A Comparison of learning algorithms on the Arcade Learning Environment. | 2014 | 1 |
| 8 | 2024 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2022 | 0 | |
| 12 | 2024 | 0 |
About Aaron Defazio
Aaron Defazio is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 12 papers that have together received 172 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Artificial Intelligence in Games (1 paper), Analog and Mixed-Signal Circuit Design (1 paper), Mathematical Approximation and Integration (1 paper), Electrowetting and Microfluidic Technologies (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Health Informatics (6 citations), Radiology, Nuclear Medicine and Imaging (92 citations), Computational Mechanics (31 citations), Acoustics and Ultrasonics (1 citation) and Artificial Intelligence (32 citations). Aaron Defazio has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Jure Žbontar, Tullie Murrell, Michael P. Recht, Anuroop Sriram, Matthew J. Muckley, Daniel K. Sodickson, Michael Rabbat, Florian Knöll, C. Lawrence Zitnick and Nafissa Yakubova. Their work appears in journals such as Magnetic Resonance in Medicine, Neural Computing and Applications, Neural Information Processing Systems, Zenodo (CERN European Organization for Nuclear Research) and ANU Open Research (Australian National University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.