Aaron Defazio
Impact in
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- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
Papers in
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- Stochastic Gradient Optimization Techniques 2
- Artificial Intelligence in Games 1
- Evolutionary Algorithms and Applications 1
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- Medical Imaging Techniques and Applications 3
- Co-authors
- Matthew J. Muckley (1 shared paper)Michael Rabbat (1 shared paper)Michael P. Recht (2 shared papers)Nafissa Yakubova (1 shared paper)C. Lawrence Zitnick (1 shared paper)Florian Knöll (1 shared paper)Anuroop Sriram (1 shared paper)Daniel K. Sodickson (1 shared paper)
- Journals
- Magnetic Resonance in Medicine (1 paper)Neural Computing and Applications (1 paper)ANU Open Research (Australian National University) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (2 papers)arXiv (Cornell University) (4 papers)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Aaron Defazio
10 papers receiving 165 citations
Peers
Comparison fields: 5 of 42
- Radiology, Nuclear Medicine and Imaging 112
- Health Informatics 6
- Computational Mechanics 31
- Acoustics and Ultrasonics 1
- Computer Vision and Pattern Recognition 20
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 | 128 | |
| 2 | A Simple Practical Accelerated Method for Finite Sums | 2016 | 12 |
| 3 | 2014 | 9 | |
| 4 | 2012 | 7 | |
| 5 | Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields | 2015 | 6 |
| 6 | A Comparison of learning algorithms on the Arcade Learning Environment. | 2014 | 1 |
| 7 | MRI Banding Removal via Adversarial Training | 2020 | 1 |
| 8 | 2021 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2022 | 0 | |
| 12 | 2024 | 0 |
About Aaron Defazio
Aaron Defazio is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 12 papers that have together received 167 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (3 papers), Advanced X-ray and CT Imaging (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Analog and Mixed-Signal Circuit Design (1 paper), Electrowetting and Microfluidic Technologies (1 paper), Artificial Intelligence in Games (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (112 citations), Health Informatics (6 citations), Computational Mechanics (31 citations), Acoustics and Ultrasonics (1 citation) and Computer Vision and Pattern Recognition (20 citations). Aaron Defazio has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Matthew J. Muckley, Michael Rabbat, Michael P. Recht, Nafissa Yakubova, C. Lawrence Zitnick, Florian Knöll, Anuroop Sriram, Daniel K. Sodickson, Jure Žbontar and Tullie Murrell. Their work appears in journals such as Magnetic Resonance in Medicine, Neural Computing and Applications, ANU Open Research (Australian National University), Zenodo (CERN European Organization for Nuclear Research) and arXiv (Cornell 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.