Maxime Gasse
Impact in
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- Ultrasound Imaging and Elastography
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- Photoacoustic and Ultrasonic Imaging
- Ultrasound and Hyperthermia Applications
Papers in
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- Machine Learning and Data Classification 2
- Text and Document Classification Technologies 2
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- Ultrasound Imaging and Elastography 3
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Alex Aussem (2 shared papers)Haytham Elghazel (1 shared paper)Fabien Millioz (2 shared papers)Hervé Liebgott (2 shared papers)Damien Garcia (1 shared paper)Emmanuel Roux (2 shared papers)Denis Friboulet (2 shared papers)Jean Provost (3 shared papers)
In The Last Decade
Maxime Gasse
10 papers receiving 247 citations
Peers
Comparison fields: 5 of 62
- Radiology, Nuclear Medicine and Imaging 135
- Biomedical Engineering 124
- Mechanics of Materials 70
- Management Science and Operations Research 24
- Artificial Intelligence 58
Countries citing papers authored by Maxime Gasse
This map shows the geographic impact of Maxime Gasse'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 Maxime Gasse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Gasse more than expected).
Fields of papers citing papers by Maxime Gasse
This network shows the impact of papers produced by Maxime Gasse. 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 Maxime Gasse. The network helps show where Maxime Gasse may publish in the future.
Co-authors
The 21 scholars most cited alongside Maxime Gasse, 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 | 2017 | 93 | |
| 2 | 2021 | 70 | |
| 3 | 2014 | 67 | |
| 4 | Exact Combinatorial Optimization with Graph Convolutional Neural Networks | 2019 | 12 |
| 5 | 2024 | 3 | |
| 6 | Hybrid Models for Learning to Branch | 2020 | 2 |
| 7 | 2021 | 2 | |
| 8 | 2017 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2022 | 0 |
About Maxime Gasse
Maxime Gasse is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Mechanics of Materials and Biomedical Engineering, having authored 11 papers that have together received 253 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (3 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Machine Learning and Data Classification (2 papers), Ultrasonics and Acoustic Wave Propagation (2 papers), Text and Document Classification Technologies (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Seismic Waves and Analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (135 citations), Biomedical Engineering (124 citations), Mechanics of Materials (70 citations), Management Science and Operations Research (24 citations) and Artificial Intelligence (58 citations). Maxime Gasse has collaborated with scholars based in Canada, France and Germany. Frequent co-authors include Alex Aussem, Haytham Elghazel, Fabien Millioz, Hervé Liebgott, Damien Garcia, Emmanuel Roux, Denis Friboulet, Jean Provost, Frédéric Lesage and Jonathan Porée. Their work appears in journals such as IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, IEEE Transactions on Medical Imaging, IEEE Transactions on Image Processing, Mathematical Programming and Expert Systems with Applications.
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.