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Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review2021 European Journal of Cancer review Computer Science AI in cancer detection Open access cited by 1 patent
Lucas Schneider, Sara Laiouar-Pedari, Sara Kuntz, Eva Krieghoff‐Henning, Achim Hekler, Jakob Nikolas Kather, +3 more
102citations -
Deep Regularized Waveform Learning for Beam Prediction With Limited Samples in Non-Cooperative mmWave Systems2023 IEEE Transactions on Vehicular Technology article Engineering Millimeter-Wave Propagation and Modeling
Hao Huang, Guan Gui, Haris Gacanin, Chau Yuen, Hikmet Sari, Fumiyuki Adachi
30citations -
SPiFOL: A Spectral-based physics-informed finite operator learning for prediction of mechanical behavior of microstructures2025 Journal of the Mechanics and Physics of Solids article Physics and Astronomy Model Reduction and Neural Networks Open access
Ali Harandi, Hooman Danesh, Kevin Linka, Stefanie Reese, Shahed Rezaei
21citations -
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 -
Extracting ductile cast iron microstructure parameters from fracture surfaces: A deep learning based instance segmentation approach2024 Engineering Fracture Mechanics article Engineering Mechanical Failure Analysis and Simulation Open access
Johannes Tlatlik, Carla Beckmann, Benedikt Rohrmüller, Sebastian Münstermann
10citations -
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 -
Learning to generate high-dimensional distributions with low-dimensional quantum Boltzmann machines2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Cenk Tüysüz, Maria Demidik, Luuk Coopmans, Enrico Rinaldi, V. Croft, Y. Haddad, +2 more
1citations -
Explainable Machine Learning for prediction and monitoring of compressive strength in LC3 production2026 Zenodo (CERN European Organization for Nuclear Research) preprint Engineering Concrete and Cement Materials Research Open access
Thorsten Kalb, Ismael Kithinji Kinoti, Wilson Ricardo Leal da Silva, Chiara Masiero, Gian Antonio Susto
0citations -
Condition Classification of Fibre Ropes during Cyclic Bend over Sheave testing Using Machine Learning2022 International Journal of Prognostics and Health Management article Engineering Mechanical stress and fatigue analysis Open access
Shaun Falconer, Thomas Bäck, Ellen Nordgård-Hansen, Geir Grasmo
0citations -
Explainable Machine Learning for prediction and monitoring of compressive strength in LC3 production2026 Zenodo (CERN European Organization for Nuclear Research) preprint Engineering Mineral Processing and Grinding Open access
Thorsten Kalb, Ismael Kithinji Kinoti, Wilson Ricardo Leal da Silva, Chiara Masiero, Gian Antonio Susto
0citations