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Cited article:

VIP: A Python package for high-contrast imaging

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Journal of Open Source Software 8 (81) 4774 (2023)
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deep PACO: combining statistical models with deep learning for exoplanet detection and characterization in direct imaging at high contrast

Olivier Flasseur, Théo Bodrito, Julien Mairal, Jean Ponce, Maud Langlois and Anne-Marie Lagrange
Monthly Notices of the Royal Astronomical Society 527 (1) 1534 (2023)
https://doi.org/10.1093/mnras/stad3143

NA-SODINN: A deep learning algorithm for exoplanet image detection based on residual noise regimes

C. Cantero, O. Absil, C.-H. Dahlqvist and M. Van Droogenbroeck
Astronomy & Astrophysics 680 A86 (2023)
https://doi.org/10.1051/0004-6361/202346085

Comparing Apples with Apples: Robust Detection Limits for Exoplanet High-contrast Imaging in the Presence of Non-Gaussian Noise

Markus J. Bonse, Emily O. Garvin, Timothy D. Gebhard, Felix A. Dannert, Faustine Cantalloube, Gabriele Cugno, Olivier Absil, Jean Hayoz, Julien Milli, Markus Kasper and Sascha P. Quanz
The Astronomical Journal 166 (2) 71 (2023)
https://doi.org/10.3847/1538-3881/acc93c

Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework

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Astronomy & Astrophysics 666 A9 (2022)
https://doi.org/10.1051/0004-6361/202142529

The SHARDDS survey: limits on planet occurrence rates based on point sources analysis via the Auto-RSM framework

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Astronomy & Astrophysics 666 A33 (2022)
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Auto-RSM: An automated parameter-selection algorithm for the RSM map exoplanet detection algorithm

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Astronomy & Astrophysics 656 A54 (2021)
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MAYONNAISE: a morphological components analysis pipeline for circumstellar discs and exoplanets imaging in the near-infrared

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Monthly Notices of the Royal Astronomical Society 503 (3) 3724 (2021)
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Constraints on the nearby exoplanet ϵ Indi Ab from deep near- and mid-infrared imaging limits

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Astronomy & Astrophysics 651 A89 (2021)
https://doi.org/10.1051/0004-6361/202140730