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Machine learning-accelerated CALPHAD analysis of impurity-driven intermetallic formation in secondary AlSi7Mg0.32026 npj Materials Sustainability article Materials Science Machine Learning in Materials Science Open access
Lukas C. Jarren, Alexandre Viardin, Eugen Gazenbiller, Markus Apel, Janin Eiken, Qiqi Li, +2 more
3citations -
Identifying Novel Inhibitors for Hepatic Organic Anion Transporting Polypeptides by Machine Learning-Based Virtual Screening2022 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access
Alzbeta Tuerkova, Brandon J. Bongers, Ulf Norinder, Orsolya Ungvári, Virág Székely, Andrey Tarnovskiy, +4 more
24citations -
AI-based Framework for Deep Learning Applications in Grinding2020 IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI) conference-paper Engineering Advanced machining processes and optimization cited by 2 patents
Philipp Niemietz, Daniel Trauth, Wolfgang Maas, Thomas Bergs
14citations -
Machine learning in Huntington’s disease: exploring the Enroll-HD dataset for prognosis and driving capability prediction2023 Orphanet Journal of Rare Diseases article Neuroscience Genetic Neurodegenerative Diseases Open access
Jasper Ouwerkerk, Stephanie Feleus, Kasper F. van der Zwaan, Yunlei Li, Marco Roos, Willeke van Roon‐Mom, +3 more
8citations -
Identification of driving factors of algal growth in the South-to-North Water Diversion Project by Transformer-based deep learning2023 Water Biology and Security article Environmental Science Aquatic Ecosystems and Phytoplankton Dynamics Open access
Jing Qian, Nan Pu, Li Qian, Xiaobai Xue, Yonghong Bi, Stefan Norra
23citations -
Revealing Unforeseen Diagnostic Image Features With Deep Learning by Detecting Cardiovascular Diseases From Apical 4‐Chamber Ultrasounds2022 Journal of the American Heart Association article Health Professions Artificial Intelligence in Healthcare Open access
Li‐Hsin Cheng, Pablo B. J. Bosch, Rutger F. H. Hofman, Timo B. Brakenhoff, Eline F. Bruggemans, Rob J. van der Geest, +1 more
14citations -
Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software2024 Journal of Magnetic Resonance article Computer Science Image and Signal Denoising Methods Open access
Chloé Najac, Beatrice Lena, Thomas O’Reilly, Yiming Dong, Peter Börnert, Hieab H.H. Adams, +1 more
12citations -
Predicting grain boundary segregation in magnesium alloys: An atomistically informed machine learning approach2025 Journal of Magnesium and Alloys article Materials Science Magnesium Alloys: Properties and Applications Open access
Zhuocheng Xie, Achraf Atila, Julien Guénolé, Sandra Korte‐Kerzel, Talal Al‐Samman, U. Kerzel
10citations