Papers matching “deep learning training data” 641
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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
Euclid Collaboration, L. Bazzanini, G. Angora, P. Bergamini, Massimo Meneghetti, P. Rosati, +90 more
1citations -
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 -
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Monika Grewal, Dustin van Weersel, Henrike G. Westerveld, Peter A. N. Bosman, Tanja Alderliesten
1citations -
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations2025 Computing and Software for Big Science article Computer Science Adversarial Robustness in Machine Learning Open access
Lucie Flek, Akbar Karimi, Timo Saala, Alexander G. Schmidt, M. Schott, Philipp Soldin, +1 more
7citations -
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations2025 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Timo Saala, Lucie Flek, Alexander Jung, Akbar Karimi, Alexander G. Schmidt, M. Schott, +2 more
0citations -
Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function2020 Bioinformatics article Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access cited by 2 patents
Amelia Villegas-Morcillo, Stavros Makrodimitris, Roeland C. H. J. van Ham, Angel Manuel Gomez, Marcel J. T. Reinders
137citations -
Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains2023 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Ahmad Moeineddin, Michael Kaliske, Stefanie Reese, Shahed Rezaei
98citations -
Segmenting beyond the imaging data: creation of anatomically valid edentulous mandibular geometries for surgical planning using artificial intelligence2025 Clinical Oral Investigations article Computer Science Medical Image Segmentation Techniques Open access
Stefan Raith, Tobias Pankert, Srikrishna Jaganathan, Kristina Pankert, Hyun Lee, Florian Peters, +2 more
3citations -
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging2024 Communications Medicine article Computer Science Privacy-Preserving Technologies in Data Open access
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Katharina Kuhl, Marcus R. Makowski, Sven Nebelung, Rickmer Braren, +3 more
52citations