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Issue DateTitleInvolved Person(s)
Oct-2023Multiple query optimization using a gate-based quantum computerFankhauser, Tobias; Solèr, Marc E.; Füchslin, Rudolf Marcel; Stockinger, Kurt
15-Aug-2023Editorial: Artificial Intelligence in Finance and Industry: volume II—highlights from the 7th European conferenceHenrici, Andreas; Füchslin, Rudolf M.; Schwendner, Peter
24-Jul-2023Multi – vs. single – perceptron approach for modelling the pattern recognition and classification in a multi-compartment adaptive immune system modelScheidegger, Stephan; Füchslin, Rudolf M.; Gaipl, Udo S.
30-Mar-2023Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networksAmirian, Mohammadreza; Montoya-Zegarra, Javier A.; Herzig, Ivo; Eggenberger Hotz, Peter; Lichtensteiger, Lukas, et al
11-Jan-2023Optimizing cement production by employing physics informed machine learningBolt, Peter; Künzi, Raffael; Ziebart, Volker; Füchslin, Rudolf Marcel; Motich, Mohammed, et al
Jan-2023Experimental evaluation of quantum machine learning algorithmsMonteiro Simoes, Ricardo Daniel; Huber, Patrick; Meier, Nicola; Smailov, Nikita; Füchslin, Rudolf M., et al
9-Jun-2022Deep learning-based simultaneous multi-phase deformable image registration of sparse 4D-CBCTHerzig, Ivo; Paysan, Pascal; Scheib, Stefan; Züst, Alexander; Schilling, Frank-Peter, et al
1-May-2022AI as Arational Intelligence?Füchslin, Rudolf Marcel; Flumini, Dandolo
2020A compiler framework to derive microfluidic platforms for manufacturing hierarchical, compartmentalized structures that maximize yield of chemical reactionsWeyland, Mathias S.; Flumini, Dandolo; Schneider, Johannes J.; Füchslin, Rudolf M.