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Bridging gaps with computer vision: AI in (bio)medical imaging and astronomy
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Measurement of adulteration in liquids by optical interferograms analysis and deep learning
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Theoretical Foundation of Black Hole Image Reconstruction Using PRIMO
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How to make CLEAN variants faster using clustered components informed by the autocorrelation function
Application of Physics-informed Neural Networks in Removing Telescope Beam Effects
Shulei Ni, Yisheng Qiu, Yunchuan Chen, Zihao Song, Hao Chen, Xuejian Jiang, Di Li, Donghui Quan and Huaxi Chen The Astrophysical Journal 990(2) 122 (2025) https://doi.org/10.3847/1538-4357/adf223
Classification of adulterant degree in liquid solutions through interferograms with machine learning
L.D. Lara-Rodriguez, R.I. Álvarez-Tamayo, A. Barcelata-Pinzón, E. López-Meléndez and P. Prieto-Cortés Optics & Laser Technology 180 111402 (2025) https://doi.org/10.1016/j.optlastec.2024.111402
A U-Net Based Method for Radio Astronomical Image Deconvolution
Xinghui Zhou, Qianyun Yun, Hui Deng, Yangfan Xie, Yijun Xu, Feng Wang and Ying Mei Research in Astronomy and Astrophysics 25(10) 104001 (2025) https://doi.org/10.1088/1674-4527/adf710
Extrapolation Convolution for Data Prediction on a 2-D Grid: Bridging Spatial and Frequency Domains With Applications in Image Outpainting and Compressed Sensing
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Examining vision foundation models for classification and detection in optical and radio astronomy
E. Lastufka, O. Bait, M. Drozdova, V. Kinakh, D. Piras, M. Audard, M. Dessauges-Zavadsky, T. Holotyak, D. Schaerer and S. Voloshynovskiy Astronomy & Astrophysics 703 A217 (2025) https://doi.org/10.1051/0004-6361/202553691
Very-long baseline interferometry imaging with closure invariants using conditional image diffusion
Samuel Lai, Nithyanandan Thyagarajan, O. Ivy Wong and Foivos Diakogiannis Publications of the Astronomical Society of Australia 42 (2025) https://doi.org/10.1017/pasa.2025.10110
radio-llava: Advancing vision-language models for radio astronomical source analysis
Simone Riggi, Thomas Cecconello, Andrea Pilzer, Simone Palazzo, Nikhel Gupta, Andrew Hopkins, Corrado Trigilio and Grazia Umana Publications of the Astronomical Society of Australia 42 (2025) https://doi.org/10.1017/pasa.2025.10082
BIPP: An efficient HPC implementation of the Bluebild algorithm for radio astronomy
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An Unsupervised Learning Method for Radio Interferometry Deconvolution
Lei Yu, Bin Liu, Cheng-Jin Jin, Ru-Rong Chen, Hong-Wei Xi and Bo Peng The Astrophysical Journal Supplement Series 278(2) 54 (2025) https://doi.org/10.3847/1538-4365/add1b7
Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging
Tobías I Liaudat, Matthijs Mars, Matthew A Price, Marcelo Pereyra, Marta M Betcke and Jason D McEwen RAS Techniques and Instruments 3(1) 505 (2024) https://doi.org/10.1093/rasti/rzae030
fast-resolve: Fast Bayesian radio interferometric imaging
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Semi-supervised rotation measure deconvolution and its application to MeerKAT observations of galaxy clusters
Radio-astronomical image reconstruction with a conditional denoising diffusion model
M. Drozdova, V. Kinakh, O. Bait, O. Taran, E. Lastufka, M. Dessauges-Zavadsky, T. Holotyak, D. Schaerer and S. Voloshynovskiy Astronomy & Astrophysics 683 A105 (2024) https://doi.org/10.1051/0004-6361/202347948
Application of Regularization Methods in the Sky Map Reconstruction of the Tianlai Cylinder Pathfinder Array
Kaifeng Yu, Shifan Zuo, Fengquan Wu, Yougang Wang and Xuelei Chen Research in Astronomy and Astrophysics 24(2) 025002 (2024) https://doi.org/10.1088/1674-4527/ad1223
Deep learning-based deconvolution for interferometric radio transient reconstruction
Benjamin Naoto Chiche, Julien N. Girard, Joana Frontera-Pons, Arnaud Woiselle and Jean-Luc Starck Astronomy & Astrophysics 675 A116 (2023) https://doi.org/10.1051/0004-6361/202245013
Deep-learning-based radiointerferometric imaging with GAN-aided training
F. Geyer, K. Schmidt, J. Kummer, M. Brüggen, H. W. Edler, D. Elsässer, F. Griese, A. Poggenpohl, L. Rustige and W. Rhode Astronomy & Astrophysics 677 A167 (2023) https://doi.org/10.1051/0004-6361/202347073
Morphological classification of radio galaxies with Wasserstein generative adversarial network-supported augmentation
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Michele Delli Veneri, Lukasz Tychoniec, Fabrizia Guglielmetti, Eric Villard and Giuseppe Longo Communications in Computer and Information Science, Machine Learning and Principles and Practice of Knowledge Discovery in Databases 1752 269 (2023) https://doi.org/10.1007/978-3-031-23618-1_19
Challenging interferometric imaging: Machine learning-based source localization from uv-plane observations
3D detection and characterization of ALMA sources through deep learning
Michele Delli Veneri, Łukasz Tychoniec, Fabrizia Guglielmetti, Giuseppe Longo and Eric Villard Monthly Notices of the Royal Astronomical Society 518(3) 3407 (2022) https://doi.org/10.1093/mnras/stac3314