Back
  1. Home
  2. Profile of Maxime Quesnel (ULiège)
Profil

Quesnel Maxime

Faculté des Sciences Appliquées > Doct. sciences ingén. techn. (électr. électro. infor.)

Main Referenced Co-authors
Absil, Olivier  (5)
Orban De Xivry, Gilles  (5)
Louppe, Gilles  (4)
Bertram, Thomas (1)
Delacroix, Christian  (1)
Main Referenced Keywords
focal plane wavefront sensing (3); Convolutional neural networks (2); Deep learning (2); phase retrieval (2); Adaptive optics (1);
Main Referenced Unit & Research Centers
STAR - Space sciences, Technologies and Astrophysics Research - ULiège (3)
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège (1)
Main Referenced Disciplines
Space science, astronomy & astrophysics (6)
Computer science (2)

Publications (total 6)

The most downloaded
1611 downloads
Quesnel, M., Orban De Xivry, G., Louppe, G., & Absil, O. (2020). Deep learning-based focal plane wavefront sensing for classical and coronagraphic imaging. In L. Schreiber, D. Schmidt, ... E. Vernet, Adaptive Optics Systems VII (pp. 114481). Bellingham, WA, United States: SPIE. doi:10.1117/12.2562456 https://hdl.handle.net/2268/255364

The most cited

24 citations (Scopus®)

Orban De Xivry, G., Quesnel, M., Vanberg, P.-O., Absil, O., & Louppe, G. (09 June 2021). Focal plane wavefront sensing using machine learning: performance of convolutional neural networks compared to fundamental limits. Monthly Notices of the Royal Astronomical Society, 505 (4), 5702-5713. doi:10.1093/mnras/stab1634 https://hdl.handle.net/2268/262457

Quesnel, M. (2024). Deep learning-based focal plane wavefront sensing for exoplanet imaging [Doctoral thesis, ULiège. ARC - Université de Liège. Actions de Recherche Concertées]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/320859

Orban De Xivry, G., Absil, O., Delacroix, C., Pathak, P., Quesnel, M., & Bertram, T. (2024). ALF: an asymmetric Lyot wavefront sensor for the ELT/METIS vortex coronagraph. In K. J. Jackson, D. Schmidt, ... E. Vernet (Eds.), Adaptive Optics Systems IX. Bellingham, United States: SPIE. doi:10.1117/12.3019159
Editorial reviewed

Quesnel, M., Orban De Xivry, G., Louppe, G., & Absil, O. (01 December 2022). A deep learning approach for focal-plane wavefront sensing using vortex phase diversity. Astronomy and Astrophysics, 668, 36. doi:10.1051/0004-6361/202143001
Peer Reviewed verified by ORBi

Quesnel, M., Orban De Xivry, G., Absil, O., & Louppe, G. (2022). A simulator-based autoencoder for focal plane wavefront sensing. In L. Schreiber, D. Schmidt, ... E. Vernet, Adaptive Optics Systems VIII (pp. 1218532). Bellingham, WA, United States: SPIE. doi:10.1117/12.2629476
Editorial reviewed

Orban De Xivry, G., Quesnel, M., Vanberg, P.-O., Absil, O., & Louppe, G. (09 June 2021). Focal plane wavefront sensing using machine learning: performance of convolutional neural networks compared to fundamental limits. Monthly Notices of the Royal Astronomical Society, 505 (4), 5702-5713. doi:10.1093/mnras/stab1634
Peer Reviewed verified by ORBi

Quesnel, M., Orban De Xivry, G., Louppe, G., & Absil, O. (2020). Deep learning-based focal plane wavefront sensing for classical and coronagraphic imaging. In L. Schreiber, D. Schmidt, ... E. Vernet, Adaptive Optics Systems VII (pp. 114481). Bellingham, WA, United States: SPIE. doi:10.1117/12.2562456

Contact ORBi