Feature of Review Papers in Nanotechnology and Applied Nanosciences von Lambin, Philippe

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Elastic Properties and Stability of Physisorbed Graphene von Lambin, Philippe

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Machine Learning methods for Quantitative Radiomic Biomarkers von Parmar, Chintan, Grossmann, Patrick, Bussink, Johan, Lambin, Philippe, Aerts, Hugo J. W. L.

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Featuring the State of the Art of Nanosciences in Belgium von Lambin, Philippe

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MRI-guided Radiation Therapy: An Emerging Paradigm in Adaptive Radiation Oncology von Otazo, Ricardo, Lambin, Philippe, Pignol, Jean-Philippe, Ladd, Mark E., Schlemmer, Heinz-Peter, Baumann, Michael, Hricak, Hedvig

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Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures von Larue, Ruben T H M, Defraene, Gilles, De Ruysscher, Dirk, Lambin, Philippe, van Elmpt, Wouter

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Targeting Hypoxia to Improve Non-Small Cell Lung Cancer Outcome von Salem, Ahmed, Asselin, Marie-Claude, Reymen, Bart, Jackson, Alan, Lambin, Philippe, West, Catharine M L, O'Connor, James P B, Faivre-Finn, Corinne

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Distributed learning: Developing a predictive model based on data from multiple hospitals without data leaving the hospital – A real life proof of concept von Jochems, Arthur, Deist, Timo M, van Soest, Johan, Eble, Michael, Bulens, Paul, Coucke, Philippe, Dries, Wim, Lambin, Philippe, Dekker, Andre

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The Quest for Evidence for Proton Therapy: Model-Based Approach and Precision Medicine von Widder, Joachim, MD, PhD, van der Schaaf, Arjen, PhD, Lambin, Philippe, MD, PhD, Marijnen, Corrie A.M., MD, PhD, Pignol, Jean-Philippe, MD, PhD, Rasch, Coen R., MD, PhD, Slotman, Ben J., MD, PhD, Verheij, Marcel, MD, PhD, Langendijk, Johannes A., MD, PhD

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A Comparative Study of the Hypoxia PET Tracers [18 F]HX4, [18 F]FAZA, and [18 F]FMISO in a Preclinical Tumor Model von Peeters, Sarah G.J.A., MSc, Zegers, Catharina M.L., MSc, Lieuwes, Natasja G., BSc, van Elmpt, Wouter, PhD, Eriksson, Jonas, PhD, van Dongen, Guus A.M.S., PhD, Dubois, Ludwig, PhD, Lambin, Philippe, MD, PhD

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Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study von Wu, Guangyao, Woodruff, Henry C., Shen, Jing, Refaee, Turkey, Sanduleanu, Sebastian, Ibrahim, Abdalla, Leijenaar, Ralph T. H., Wang, Rui, Xiong, Jingtong, Bian, Jie, Wu, Jianlin, Lambin, Philippe

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Radiomics: the bridge between medical imaging and personalized medicine von Lambin, Philippe, Leijenaar, Ralph T.H., Deist, Timo M., Peerlings, Jurgen, de Jong, Evelyn E.C., van Timmeren, Janita, Sanduleanu, Sebastian, Larue, Ruben T.H.M., Even, Aniek J.G., Jochems, Arthur, van Wijk, Yvonka, Woodruff, Henry, van Soest, Johan, Lustberg, Tim, Roelofs, Erik, van Elmpt, Wouter, Dekker, Andre, Mottaghy, Felix M., Wildberger, Joachim E., Walsh, Sean

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Grain boundaries in graphene grown by chemical vapor deposition von Biró, László P, Lambin, Philippe

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CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma von Coroller, Thibaud P, Grossmann, Patrick, Hou, Ying, Rios Velazquez, Emmanuel, Leijenaar, Ralph T.H, Hermann, Gretchen, Lambin, Philippe, Haibe-Kains, Benjamin, Mak, Raymond H, Aerts, Hugo J.W.L

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Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer von Parmar, Chintan, Leijenaar, Ralph T. H., Grossmann, Patrick, Rios Velazquez, Emmanuel, Bussink, Johan, Rietveld, Derek, Rietbergen, Michelle M., Haibe-Kains, Benjamin, Lambin, Philippe, Aerts, Hugo J.W.L.

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Radiomics: Extracting more information from medical images using advanced feature analysis von Lambin, Philippe, Rios-Velazquez, Emmanuel, Leijenaar, Ralph, Carvalho, Sara, van Stiphout, Ruud G.P.M, Granton, Patrick, Zegers, Catharina M.L, Gillies, Robert, Boellard, Ronald, Dekker, André, Aerts, Hugo J.W.L

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Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology von Wu, Weimiao, Parmar, Chintan, Grossmann, Patrick, Quackenbush, John, Lambin, Philippe, Bussink, Johan, Mak, Raymond, Aerts, Hugo J W L

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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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Deep learning in fracture detection: a narrative review von Kalmet, Pishtiwan H S, Sanduleanu, Sebastian, Primakov, Sergey, Wu, Guangyao, Jochems, Arthur, Refaee, Turkey, Ibrahim, Abdalla, Hulst, Luca v., Lambin, Philippe, Poeze, Martijn

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Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer von Parmar, Chintan, Grossmann, Patrick, Rietveld, Derek, Rietbergen, Michelle M, Lambin, Philippe, Aerts, Hugo J W L

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