• Explaining deep neural networks for knowledge discovery in electrocardiogram analysis 

      Hicks, Steven; Isaksen, Jonas L; Thambawita, Vajira L B; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Strumke, Inga; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Halvorsen, Pål; Maleckar, Mary Margot Catherine; Riegler, Michael; Kanters, Jørgen K (Scientific Reports;11, Article number: 10949 (2021), Peer reviewed; Journal article, 2021-05-26)
      Deep learning-based tools may annotate and interpret medical data more quickly, consistently, and accurately than medical doctors. However, as medical doctors are ultimately responsible for clinical decision-making, any ...
    • Non-linear finite element modeling of damages in bridge piers subjected to lateral monotonic loading 

      Ahmad, Aizaz; Ahmed, Awais; Iqbal, Mudassir; Muhammad Ali, Syed; Khan, Ghufranullah; M. Eldin, Syed; M. Yosri, Ahmed (Peer reviewed; Journal article, 2023)
      Bridges are among the most vulnerable structures to earthquake damage. Most bridges are seismically inadequate due to outdated bridge design codes and poor construction methods in developing countries. Although expensive, ...
    • Numerical study on existing RC circular section members under unequal impact collision 

      Yanhui, Liu; Al-Bukhaiti, Khalil; Shichun, Zhao; Abas, Hussein; Nan, Xu; Lang, Yang; Yu, Yan Xing; Han, Daguang (Scientific Reports;12, Article number: 14793 (2022), Peer reviewed; Journal article, 2022-08-30)
      Traffic accidents and derailed train-related incidents have occurred more often than ever in recent years, resulting in some economic damage and casualties. Reinforced concrete (RC) constructions often involve derailed ...