Deep learning-based survival prediction for multiple cancer types using histopathology images von Wulczyn, Ellery, Steiner, David F., Xu, Zhaoyang, Sadhwani, Apaar, Wang, Hongwu, Flament-Auvigne, Isabelle, Mermel, Craig H., Chen, Po-Hsuan Cameron, Liu, Yun, Stumpe, Martin C.

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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs von Gulshan, Varun, Peng, Lily, Coram, Marc, Stumpe, Martin C, Wu, Derek, Narayanaswamy, Arunachalam, Venugopalan, Subhashini, Widner, Kasumi, Madams, Tom, Cuadros, Jorge, Kim, Ramasamy, Raman, Rajiv, Nelson, Philip C, Mega, Jessica L, Webster, Dale R

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Outcome after Discontinuing Long-Term Benzimidazole Treatment in 11 Patients with Non-resectable Alveolar Echinococcosis with Negative FDG-PET/CT and Anti-EmII/3-10 Serology von Ammann, Rudolf W, Stumpe, Katrin D M, Grimm, Felix, Deplazes, Peter, Huber, Sabine, Bertogg, Kaja, Fischer, Dorothee R, Müllhaupt, Beat

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Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer von Steiner, David F, MacDonald, Robert, Liu, Yun, Truszkowski, Peter, Hipp, Jason D, Gammage, Christopher, Thng, Florence, Peng, Lily, Stumpe, Martin C

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Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists von Liu, Yun, Kohlberger, Timo, Norouzi, Mohammad, Dahl, George E, Smith, Jenny L, Mohtashamian, Arash, Olson, Niels, Peng, Lily H, Hipp, Jason D, Stumpe, Martin C

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A new mathematical formulation for the simultaneous optimization of charging infrastructure and vehicle schedules for electric bus systems von Stumpe, Miriam

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Rehabilitated Tailing Piles in the Metropolitan Ruhr Area (Germany) Identified as Green Cooling Islands and Explained by K-Mean Cluster and Random Forest Regression Analyses von Stumpe, Britta, Marschner, Bernd

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Alternate Day Fasting Improves Physiological and Molecular Markers of Aging in Healthy, Non-obese Humans von Stekovic, Slaven, Hofer, Sebastian J., Tripolt, Norbert, Aon, Miguel A., Royer, Philipp, Pein, Lukas, Stadler, Julia T., Pendl, Tobias, Prietl, Barbara, Url, Jasmin, Schroeder, Sabrina, Tadic, Jelena, Eisenberg, Tobias, Magnes, Christoph, Stumpe, Michael, Zuegner, Elmar, Bordag, Natalie, Riedl, Regina, Schmidt, Albrecht, Kolesnik, Ewald, Verheyen, Nicolas, Springer, Anna, Madl, Tobias, Sinner, Frank, de Cabo, Rafael, Kroemer, Guido, Obermayer-Pietsch, Barbara, Dengjel, Jörn, Sourij, Harald, Pieber, Thomas R., Madeo, Frank

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Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network von Raghunath, Sushravya, Ulloa Cerna, Alvaro E., Jing, Linyuan, vanMaanen, David P., Stough, Joshua, Hartzel, Dustin N., Leader, Joseph B., Kirchner, H. Lester, Stumpe, Martin C., Hafez, Ashraf, Nemani, Arun, Carbonati, Tanner, Johnson, Kipp W., Young, Katelyn, Good, Christopher W., Pfeifer, John M., Patel, Aalpen A., Delisle, Brian P., Alsaid, Amro, Beer, Dominik, Haggerty, Christopher M., Fornwalt, Brandon K.

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Interaction of Urea with Amino Acids:  Implications for Urea-Induced Protein Denaturation von Stumpe, Martin C, Grubmüller, Helmut

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Immunocytochemical determination of the subcellular distribution of ascorbate in plants von Zechmann, Bernd, Stumpe, M, Mauch, F

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Kepler Presearch Data Conditioning I-Architecture and Algorithms for Error Correction in Kepler Light Curves von Stumpe, Martin C., Smith, Jeffrey C., Van Cleve, Jeffrey E., Twicken, Joseph D., Barclay, Thomas S., Fanelli, Michael N., Girouard, Forrest R., Jenkins, Jon M., Kolodziejczak, Jeffery J., McCauliff, Sean D., Morris, Robert L.

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Polar or apolar--the role of polarity for urea-induced protein denaturation von Stumpe, Martin C, Grubmüller, Helmut

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Abstract IA11: Artificial intelligence or artificial inelegance—the state of AI in cancer diagnostics von Stumpe, Martin C.

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An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis von Chen, Po-Hsuan Cameron, Gadepalli, Krishna, MacDonald, Robert, Liu, Yun, Kadowaki, Shiro, Nagpal, Kunal, Kohlberger, Timo, Dean, Jeffrey, Corrado, Greg S., Hipp, Jason D., Mermel, Craig H., Stumpe, Martin C.

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Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer von Nagpal, Kunal, Foote, Davis, Liu, Yun, Chen, Po-Hsuan Cameron, Wulczyn, Ellery, Tan, Fraser, Olson, Niels, Smith, Jenny L., Mohtashamian, Arash, Wren, James H., Corrado, Greg S., MacDonald, Robert, Peng, Lily H., Amin, Mahul B., Evans, Andrew J., Sangoi, Ankur R., Mermel, Craig H., Hipp, Jason D., Stumpe, Martin C.

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Machine learning technology for early prediction of grain yield at the field scale: A systematic review von Leukel, Joerg, Zimpel, Tobias, Stumpe, Christoph

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Prediction and reconstruction of ocean wave heights based on bathymetric data using LSTM neural networks von Jörges, Christoph, Berkenbrink, Cordula, Stumpe, Britta

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Aqueous Urea Solutions:  Structure, Energetics, and Urea Aggregation von Stumpe, Martin C, Grubmüller, Helmut

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Probing the core structure and evolution of red giants using gravity-dominated mixed modes observed with Kepler von Mosser, B., Goupil, M. J., Belkacem, K., Michel, E., Stello, D., Marques, J. P., Elsworth, Y., Barban, C., Beck, P. G., Bedding, T. R., De Ridder, J., García, R. A., Hekker, S., Kallinger, T., Samadi, R., Stumpe, M. C., Barclay, T., Burke, C. J.

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