Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study von Hosny, Ahmed, Parmar, Chintan, Coroller, Thibaud P, Grossmann, Patrick, Zeleznik, Roman, Kumar, Avnish, Bussink, Johan, Gillies, Robert J, Mak, Raymond H, Aerts, Hugo J W L

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Artificial intelligence in radiology von Hosny, Ahmed, Parmar, Chintan, Quackenbush, John, Schwartz, Lawrence H., Aerts, Hugo J. W. L.

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A Review of Risk Perceptions and Other Factors that Influence Flood Mitigation Behavior von Bubeck, P., Botzen, W. J. W., Aerts, J. C. J. H.

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Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates von de Moel, H., Aerts, J. C. J. H.

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Water Scarcity Hotspots Travel Downstream Due to Human Interventions in the 20th and 21st Century von Veldkamp, T. I. E., Wada, Y., Aerts, J. C. J. H., Doell, P., Gosling, S. N., Liu, J., Masaki, Y., Oki, T., Ostberg, S., Pokhrel, Y., Satoh, Y., Kim, H., Ward, P. J.

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Comparative flood damage model assessment: towards a European approach von Jongman, B, Kreibich, H, Apel, H, Barredo, J. I, Bates, P. D, Feyen, L, Gericke, A, Neal, J, Aerts, J. C. J. H, Ward, P. J

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FLOPROS: an evolving global database of flood protection standards von Scussolini, Paolo, Aerts, Jeroen C. J. H, Jongman, Brenden, Bouwer, Laurens M, Winsemius, Hessel C, de Moel, Hans, Ward, Philip J

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Robust Radiomics feature quantification using semiautomatic volumetric segmentation von Parmar, Chintan, Rios Velazquez, Emmanuel, Leijenaar, Ralph, Jermoumi, Mohammed, Carvalho, Sara, Mak, Raymond H, Mitra, Sushmita, Shankar, B Uma, Kikinis, Ron, Haibe-Kains, Benjamin, Lambin, Philippe, Aerts, Hugo J W L

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Integrated Direct and Indirect Flood Risk Modeling: Development and Sensitivity Analysis von Koks, E. E., Bočkarjova, M., de Moel, H., Aerts, J. C. J. H.

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Detailed insights into the influence of flood-coping appraisals on mitigation behaviour von Bubeck, P., Botzen, W.J.W., Kreibich, H., Aerts, J.C.J.H.

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Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats von Napel, Sandy, Mu, Wei, Jardim‐Perassi, Bruna V., Aerts, Hugo J. W. L., Gillies, Robert J.

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The smell of lung disease: a review of the current status of electronic nose technology von van der Sar, I G, Wijbenga, N, Nakshbandi, G, Aerts, J G J V, Manintveld, O C, Wijsenbeek, M S, Hellemons, M E, Moor, C C

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Deep learning classification of lung cancer histology using CT images von Chaunzwa, Tafadzwa L., Hosny, Ahmed, Xu, Yiwen, Shafer, Andrea, Diao, Nancy, Lanuti, Michael, Christiani, David C., Mak, Raymond H., Aerts, Hugo J. W. L.

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A novel feature for monitoring the enzymatic harvesting process of adherent cell cultures based on lens-free imaging von Deckers, T., Aerts, J.-M., Bloemen, V.

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Artificial intelligence in radiation oncology von Huynh, Elizabeth, Hosny, Ahmed, Guthier, Christian, Bitterman, Danielle S., Petit, Steven F., Haas-Kogan, Daphne A., Kann, Benjamin, Aerts, Hugo J. W. L., Mak, Raymond H.

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Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT von Huynh, Elizabeth, Coroller, Thibaud P, Narayan, Vivek, Agrawal, Vishesh, Romano, John, Franco, Idalid, Parmar, Chintan, Hou, Ying, Mak, Raymond H, Aerts, Hugo J W L

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Sensitivity of water scarcity events to ENSO-driven climate variability at the global scale von Veldkamp, T. I. E, Eisner, S, Wada, Y, Aerts, J. C. J. H, Ward, P. J

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River flood risk in Jakarta under scenarios of future change von Budiyono, Yus, Aerts, Jeroen C. J. H, Tollenaar, Daniel, Ward, Philip J

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Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer von Vallières, Martin, Kay-Rivest, Emily, Perrin, Léo Jean, Liem, Xavier, Furstoss, Christophe, Aerts, Hugo J. W. L., Khaouam, Nader, Nguyen-Tan, Phuc Felix, Wang, Chang-Shu, Sultanem, Khalil, Seuntjens, Jan, El Naqa, Issam

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Willingness of homeowners to mitigate climate risk through insurance von Botzen, W.J.W., Aerts, J.C.J.H., van den Bergh, J.C.J.M.

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