Publications

Franziska J. Schöb, Alexander Binder, Valentina Zamarian, Valeria Sordi, Hanne Scholz, Anders Malthe-Sørenssen, und Dag Kristian Dysthe. Deep Learning for Predicting Stem Cell Efficiency for use in Beta Cell Differentiation. Cold Spring Harbor Laboratory, Mai 2025. [PUMA: deep_learning stem_cell yaff] URL

E. Cherif, T. Kattenborn, L. A. Brown, M. Ewald, K. Berger, P. D. Dao, T. B. Hank, E. Laliberté, B. Lu, und H. Feilhauer. Uncertainty Assessment in Deep Learning-based Plant Trait Retrievals from Hyperspectral data. EGUsphere, (2025):1--35, 2025. [PUMA: data deep_learning hyperspectral xack yaff]

Daniel Mederer, Hannes Feilhauer, Eya Cherif, Katja Berger, Tobias B. Hank, Kyle R. Kovach, Phuong D. Dao, Bing Lu, Philip A. Townsend, und Teja Kattenborn. Plant trait retrieval from hyperspectral data: Collective efforts in scientific data curation outperform simulated data derived from the PROSAIL model. ISPRS Open Journal of Photogrammetry and Remote Sensing, 100080, Elsevier BV, Dezember 2025. [PUMA: Biophysical_properties Canopy_properties Deep_learning Hyperspectral Imaging_spectroscopy Plant_trait_retrieval Radiative_transfer_modeling remote_sensing topic_earthenvironment xack yaff] URL

Marie-Sophie von Braun, Kristin Starke, Lucas Peter, Daniel Kürsten, Florian Welle, Hans Ralf Schneider, Max Wawrzyniak, Daniel P O Kaiser, Gordian Prasse, Cindy Richter, Elias Kellner, Marco Reisert, Julian Klingbeil, Anika Stockert, Karl-Titus Hoffmann, Gerik Scheuermann, Christina Gillmann, und Dorothee Saur. Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning. In Masud Husain (Hrsg.), Brain, awaf013, Januar 2025. [PUMA: biomarker cdss cnn computer_vision deep_learning neuroimaging neurology nopdf topic_lifescience xack yaff] URL

Marie-Sophie von Braun, Kristin Starke, Lucas Peter, Daniel Kürsten, Florian Welle, Hans Ralf Schneider, Max Wawrzyniak, Daniel P O Kaiser, Gordian Prasse, Cindy Richter, Elias Kellner, Marco Reisert, Julian Klingbeil, Anika Stockert, Karl-Titus Hoffmann, Gerik Scheuermann, Christina Gillmann, und Dorothee Saur. Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning. In Masud Husain (Hrsg.), Brain, awaf013, Januar 2025. [PUMA: biomarker cdss cnn computer_vision deep_learning myown neuroimaging neurology topic_lifescience] URL

Giovanni Volpe, Carolina Wählby, Lei Tian, Michael Hecht, Artur Yakimovich, Kristina Monakhova, Laura Waller, Ivo F. Sbalzarini, Christopher A. Metzler, Mingyang Xie, Kevin Zhang, Isaac C. D. Lenton, Halina Rubinsztein-Dunlop, Daniel Brunner, Bijie Bai, Aydogan Ozcan, Daniel Midtvedt, Hao Wang, Nata�a Sladoje, Joakim Lindblad, Jason T. Smith, Marien Ochoa, Margarida Barroso, Xavier Intes, Tong Qiu, Li-Yu Yu, Sixian You, Yongtao Liu, Maxim A. Ziatdinov, Sergei V. Kalinin, Arlo Sheridan, Uri Manor, Elias Nehme, Ofri Goldenberg, Yoav Shechtman, Henrik K. Moberg, Christoph Langhammer, Barbora �pa?kov�, Saga Helgadottir, Benjamin Midtvedt, Aykut Argun, Tobias Thalheim, Frank Cichos, Stefano Bo, Lars Hubatsch, Jesus Pineda, Carlo Manzo, Harshith Bachimanchi, Erik Selander, Antoni Homs-Corbera, Martin Fr�nzl, Kevin de Haan, Yair Rivenson, Zofia Korczak, Caroline Beck Adiels, Mite Mijalkov, D�niel Ver�b, Yu-Wei Chang, Joana B. Pereira, Damian Matuszewski, Gustaf Kylberg, Ida-Maria Sintorn, Juan C. Caicedo, Beth A Cimini, Muyinatu A. Lediju Bell, Bruno M. Saraiva, Guillaume Jacquemet, Ricardo Henriques, Wei Ouyang, Trang Le, Estibaliz G�mez de Mariscal, Daniel Sage, Arrate Mu�oz-Barrutia, Ebba Josefson Lindqvist, und Johanna Bergman. Roadmap on Deep Learning for Microscopy. 2023. [PUMA: Deep_Learning Microscopy Roadmap imported topic_lifescience topic_mathfoundation topic_physchemistry zno] URL