Roadmap on deep learning for microscopy
Giovanni Volpe(Volvo (Sweden)), Erik Selander, Christopher A. Metzler, Daniel Brunner(Institute for Cross-Disciplinary Physics and Complex Systems), Joakim Lindblad, Benjamin Midtvedt(University of Gothenburg), Laura Waller(University of California, Berkeley), Maxim Ziatdinov(Pacific Northwest National Laboratory), Lei Tian(Shanghai University of Engineering Science), Harshith Bachimanchi, Aydogan Özcan(California NanoSystems Institute), Li-Yu Yu, Kristina Monakhova(University of California System), Nataša Sladoje, Carolina Wählby(Uppsala University), Artur Yakimovich(MRC Laboratory for Molecular Cell Biology), Bijie Bai(California NanoSystems Institute), Stefano Bo(The Francis Crick Institute), Elias Nehme(Nepean Hospital), Frank Cichos(Leipzig University), Marien Ochoa, Sergei V. Kalinin(University of Tennessee at Knoxville), Yongtao Liu(Oak Ridge National Laboratory), Christoph Langhammer(Chalmers University of Technology), Halina Rubinsztein‐Dunlop(The University of Queensland), Daniel Midtvedt(University of Gothenburg), Yoav Shechtman(Technion – Israel Institute of Technology), Henrik Klein Moberg, Michael Hecht, Margarida Barroso(Technische Universität Darmstadt), Jason T. Smith, Uri Manor(University of California San Diego), Lars Hubatsch(Max Planck Institute of Molecular Cell Biology and Genetics), Isaac C. D. Lenton(University of Queensland), Jesús Pineda(Woods Hole Oceanographic Institution), Barbora Špačková(FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic), Carlo Manzo(Universitat de Vic - Universitat Central de Catalunya), Tobias Thalheim, Ivo F. Sbalzarini(German Research Centre for Artificial Intelligence), Saga Helgadóttir, Sixian You, Hao Wang(Tongji University), Kevin Zhang, T. Qiu, Ofri Goldenberg, Aykut Argun(University of Gothenburg), Xavier Intes(Rensselaer Polytechnic Institute)
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