Papers matching “deep convolutional neural networks” 46
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Euclid Preparation TBD. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events2023 Zurich Open Repository and Archive (University of Zurich) article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Euclid Collaboration, Massimo Meneghetti, G. Angora, R. B. Metcalf, Lauro Moscardini, P. Rosati, +89 more
0citations -
Euclid Quick Data Release (Q1). Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks2025 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
C. Gouin, L. Bazzanini, G. Angora, P. Bergamini, Massimo Meneghetti, Rosati P, +93 more
1citations -
When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multiband Imaging Data2023 The Astrophysical Journal article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
I.T Andika, K. Jahnkę, Arjen van der Wel, Eduardo Bañados, Sarah E. I. Bosman, Frederick B. Davies, +5 more
8citations -
Morphological classification of radio galaxies with Wasserstein generative adversarial network-supported augmentation2023 RAS Techniques and Instruments article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Lennart Rustige, Janis Kummer, Florian Griese, K. Borras, M. Brüggen, Patrick Connor, +4 more
14citations -
Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning2020 Lecture notes in computer science conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access
Mario Rüttgers, Seong Ryong Koh, Jenia Jitsev, Wolfgang Schröder, Andreas Lintermann
7citations -
Identification of multicomponent LOFAR sources with multimodal deep learning2024 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Radio Astronomy Observations and Technology Open access
L. Alegre, P. N. Best, J. Sabater, Huub J. A. Röttgering, M. J. Hardcastle, Wendy L. Williams
3citations -
Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer2022 Journal of Imaging Informatics in Medicine article Physics and Astronomy Advanced Radiotherapy Techniques Open access
Mohammad Salehi, Alireza Vafaei Sadr, Seied Rabi Mahdavi, Hossein Arabi, Isaac Shiri, Reza Reiazi
27citations -
Improving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning2025 EJNMMI Physics article Physics and Astronomy Radiation Detection and Scintillator Technologies Open access
Francis Loignon-Houle, N. Kratochwil, Maxime Toussaint, Carsten Lowis, Gerard Ariño‐Estrada, Antonio J. González, +2 more
9citations -
New High-quality Strong Lens Candidates with Deep Learning in the Kilo-Degree Survey2020 The Astrophysical Journal article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Rui Li, Nicola R. Napolitano, C. Tortora, Chiara Spiniello, Léon V. E. Koopmans, Zhiqi Huang, +8 more
77citations -
Deep learning framework for enhanced neutrino reconstruction of single-line events in the ANTARES telescope2026 Machine Learning Science and Technology article Physics and Astronomy Neutrino Physics Research Open access
A. Albert, S. Alves Garre, M. Ardid, J.J. Aubert, J. Aublin, B. Baret, +90 more
0citations -
Deep-learning based reconstruction of the shower maximum X$_{max}$ using the water-Cherenkov detectors of the Pierre Auger Observatory2021 Repository KITopen (Karlsruhe Institute of Technology) article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access
A. Aab, P. Abreu, M. Aglietta, Justin M. Albury, I. Allekotte, Alejandro Almela, +89 more
40citations -
Deep-learning based reconstruction of the shower maximum X max using the water-Cherenkov detectors of the Pierre Auger Observatory2021 Journal of Instrumentation article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access
P. Abreu, X. Bertou, C. Bonifazi, Lorenzo Caccianiga, Olivier Deligny, Robert Engel
30citations