DeepMerge – II. Building robust deep learning algorithms for merging galaxy identification across domainsAleksandra Ćiprijanović, B. Nord, Diana Kafkes et al.|Monthly Notices of the Royal Astronomical Society|2021Cited by 46
DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey imagesDimitrios Tanoglidis, Z. Zhang, Sydney Jenkins et al.|Astronomy and Computing|2022Cited by 21
DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classificationAleksandra Ćiprijanović, Stefan M. Wild, Sandeep Madireddy et al.|Machine Learning Science and Technology|2022Cited by 20
Domain adaptation techniques for improved cross-domain study of galaxy mergersAleksandra Ćiprijanović, B. Nord, Sydney Jenkins et al.|arXiv (Cornell University)|2020Cited by 5
DeepGhostBusters: Using Mask R-CNN to Detect and Mask Ghosting and Scattered-Light Artifacts from Optical Survey ImagesDimitrios Tanoglidis, Zhuoqi Zhang, Sydney Jenkins et al.|arXiv (Cornell University)|2021Cited by 2