Michel Audette

1.6k total citations
61 papers, 940 citations indexed

About

Michel Audette is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Michel Audette has authored 61 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 23 papers in Computer Vision and Pattern Recognition and 13 papers in Surgery. Recurrent topics in Michel Audette's work include Medical Image Segmentation Techniques (14 papers), 3D Shape Modeling and Analysis (13 papers) and Anatomy and Medical Technology (10 papers). Michel Audette is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), 3D Shape Modeling and Analysis (13 papers) and Anatomy and Medical Technology (10 papers). Michel Audette collaborates with scholars based in United States, Canada and France. Michel Audette's co-authors include Frank P. Ferrie, T.M. Peters, Marco Ferrari, Charles‐Henri Malbert, Eric Stice, Esther Aarts, Valentina Quaresima, Luke E. Stoeckel, David Val‐Laillet and Bernd Weber and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Michel Audette

51 papers receiving 909 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michel Audette United States 11 323 240 157 154 135 61 940
Steven Robbins Canada 18 121 0.4× 471 2.0× 37 0.2× 389 2.5× 123 0.9× 28 1.7k
Woei‐Chyn Chu Taiwan 16 238 0.7× 250 1.0× 15 0.1× 167 1.1× 65 0.5× 52 911
S. Laxminarayan United States 16 268 0.8× 77 0.3× 17 0.1× 183 1.2× 49 0.4× 54 944
Oldřich Vyšata Czechia 24 245 0.8× 520 2.2× 19 0.1× 137 0.9× 79 0.6× 106 1.5k
Ryan S. McGinnis United States 25 129 0.4× 713 3.0× 105 0.7× 35 0.2× 168 1.2× 93 1.7k
Guohua Lü China 17 80 0.2× 530 2.2× 14 0.1× 35 0.2× 211 1.6× 61 1.1k
Leonardo Bocchi Italy 21 155 0.5× 223 0.9× 25 0.2× 151 1.0× 151 1.1× 114 1.2k
David E. Thompson United States 21 43 0.1× 309 1.3× 26 0.2× 33 0.2× 160 1.2× 68 1.4k
Anand V. Nene Netherlands 19 62 0.2× 744 3.1× 29 0.2× 11 0.1× 135 1.0× 34 1.6k
M. Manivannan India 14 180 0.6× 320 1.3× 10 0.1× 35 0.2× 232 1.7× 91 988

Countries citing papers authored by Michel Audette

Since Specialization
Citations

This map shows the geographic impact of Michel Audette'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 Michel Audette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Audette more than expected).

Fields of papers citing papers by Michel Audette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michel Audette. 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 Michel Audette. The network helps show where Michel Audette may publish in the future.

Co-authorship network of co-authors of Michel Audette

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Audette. A scholar is included among the top collaborators of Michel Audette based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michel Audette. Michel Audette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sheth, Soham, et al.. (2024). Positive Airway Pressure and Mask Factors Affecting Adherence in Patients with Obstructive Sleep Apnea. ODU Digital Commons (Old Dominion University). 5(3). 132–135.
2.
Paolini, Christopher, et al.. (2023). Toward Real-Time, Robust Wearable Sensor Fall Detection Using Deep Learning Methods: A Feasibility Study. Applied Sciences. 13(8). 4988–4988. 10 indexed citations
3.
4.
Audette, Michel, et al.. (2021). In Silico Investigation of Cardiac Arrhythmia Susceptibility in Long QT Phenotype. ODU Digital Commons (Old Dominion University). 8–13. 1 indexed citations
5.
Li, Jiang, et al.. (2021). Wearable Sensor Gait Analysis of Fall Detection using Attention Network. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2021. 3137–3141. 9 indexed citations
6.
Audette, Michel, et al.. (2020). <p>Robotically Steered Needles: A Survey of Neurosurgical Applications and Technical Innovations</p>. PubMed. Volume 7. 1–23. 11 indexed citations
7.
8.
Jovanović, Vukica, Onur Bilgen, Karina Arcaute, Michel Audette, & Anthony J. Dean. (2018). Active Duty Training for Support of Navy’s Additive Manufacturing Strategy. 3 indexed citations
9.
Leathrum, James F., et al.. (2017). Proposed unified discrete event simulation content roadmap for M&S curricula. Winter Simulation Conference. 4300–4311. 1 indexed citations
10.
Val‐Laillet, David, Esther Aarts, Bernd Weber, et al.. (2015). Neuroimaging and neuromodulation approaches to study eating behavior and prevent and treat eating disorders and obesity. NeuroImage Clinical. 8. 1–31. 326 indexed citations
11.
McKenzie, Frederic D., et al.. (2014). Engineering Collaborations In Medical Modeling And Simulation. ODU Digital Commons (Old Dominion University). 1(1). 2–7. 1 indexed citations
12.
Audette, Michel, et al.. (2014). 3D lumbar spine intervertebral disc segmentation and compression simulation from MRI using shape-aware models. International Journal of Computer Assisted Radiology and Surgery. 10(1). 45–54. 22 indexed citations
13.
Audette, Michel, et al.. (2012). Neurosurgery simulation using non-linear finite element modeling and haptic interaction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8316. 83160H–83160H.
14.
Audette, Michel, et al.. (2011). A photothermal model of selective photothermolysis with dynamically changing vaporization temperature. Lasers in Medical Science. 26(5). 633–640. 6 indexed citations
15.
Audette, Michel, Hervé Delingette, Alain H. Fuchs, Oliver Burgert, & Kiyoyuki Chinzei. (2007). A topologically faithful, tissue-guided, spatially varying meshing strategy for computing patient-specific head models for endoscopic pituitary surgery simulation. Computer Aided Surgery. 12(1). 43–52. 9 indexed citations
16.
Descoteaux, Maxime, Michel Audette, Kiyoyuki Chinzei, & Kaleem Siddiqi. (2006). Bone enhancement filtering: Application to sinus bone segmentation and simulation of pituitary surgery. Computer Aided Surgery. 11(5). 247–255. 10 indexed citations
17.
Descoteaux, Maxime, Michel Audette, Kiyoyuki Chinzei, & Kaleem Siddiqi. (2006). Bone enhancement filtering: Application to sinus bone segmentation and simulation of pituitary surgery. Computer Aided Surgery. 11(5). 247–255. 42 indexed citations
18.
Audette, Michel, et al.. (2003). A procedure for computing patient-specific anatomical models for finite element-based surgical simulation. International Congress Series. 1256. 356–361. 4 indexed citations
19.
Audette, Michel, Frank P. Ferrie, & T.M. Peters. (2000). An algorithmic overview of surface registration techniques for medical imaging. Medical Image Analysis. 4(3). 201–217. 280 indexed citations
20.
Audette, Michel, Paul R. Cohen, & Juyang Weng. (1991). Shading-based two-view matching. International Joint Conference on Artificial Intelligence. 1286–1291. 3 indexed citations

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.

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