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 |
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 |