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A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany

2020 . Scarpone, Christopher | Brinkmann, Sebastian T. | Große, Tim | Sonnenwald, Daniel | Fuchs, Martin | ,

Automated digital data acquisition for landslide inventories

2020 . Kreuzer, Thomas | Damm, Bodo

Digitalisation and COVID-19: The Perfect Storm

2020 . Horgan, Denis | Hackett, Joanne | Westphalen, C. Benedikt | Kalra, Dipak | Richer, Etienne | Romao, Mario | Andreu, Antonio L. | Lal, Jonathan A. | Bernini, Chiara | Tumiene, Birute | Boccia, Stefania | Montserrat, Antoni

Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study

2020 . Randhawa, Gurjit | Soltysiak, Maximillian | El Roz, Hadi | de Souza, Camila P. E. | Hill, Kathleen A. | Kari, Lila

Using the spike protein feature to predict infection risk and monitor the evolutionary dynamic of coronavirus

2020 . Qiang, Xiao-Li | Xu, Peng | Fang, Gang | Liu, Wen-Bin | Kou, Zheng

Big Data Approaches in Heart Failure Research

2020 . Lanzer, Jan D. | Leuschner, Florian | Kramann, Rafael | Levinson, Rebecca T. | Saez-Rodriguez, Julio

Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network

2020 . Dratsch, Thomas | Korenkov, Michael | Zopfs, David | Brodehl, Sebastian | Baessler, Bettina | Giese, Daniel | Brinkmann, Sebastian | Maintz, David | Pinto dos Santos, Daniel

Digitale Epidemiologie

2020 . Brockmann, Dirk

Künstliche Intelligenz in der Plastischen Chirurgie

2020 . Moellhoff, N. | Giunta, Riccardo E.

Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features

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