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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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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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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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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Defining a Radiomic Response Phenotype: A Pilot Study using targeted therapy in NSCLC von Aerts, Hugo J. W. L., Grossmann, Patrick, Tan, Yongqiang, Oxnard, Geoffrey R., Rizvi, Naiyer, Schwartz, Lawrence H., Zhao, Binsheng

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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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Defining the biological basis of radiomic phenotypes in lung cancer von Grossmann, Patrick, Stringfield, Olya, El-Hachem, Nehme, Bui, Marilyn M, Rios Velazquez, Emmanuel, Parmar, Chintan, Leijenaar, Ralph Th, Haibe-Kains, Benjamin, Lambin, Philippe, Gillies, Robert J, Aerts, Hugo Jwl

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Clonal evolution driven by superdriver mutations von Grossmann, Patrick, Cristea, Simona, Beerenwinkel, Niko

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MIDGE Technology for the Production of a Fourfold Gene-Modified, Allogenic Cell-Based Vaccine for Cancer Therapy von Schmidt, Manuel, Volz, Barbara, Großmann, Patrick, Heinrich, Kerstin, Wittig, Burghardt

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Blood dendritic cells in systemic lupus erythematosus exhibit altered activation state and chemokine receptor function von Gerl, Velia, Lischka, Alexandra, Panne, Daniel, Großmann, Patrick, Berthold, Rita, Hoyer, Bimba Franziska, Biesen, Robert, Bruns, Anne, Alexander, Tobias, Jacobi, Annett, Dörner, Thomas, Burmester, Gerd-Rüdiger, Radbruch, Andreas, Hiepe, Falk

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Integration of TP53, DREAM, MMB-FOXM1 and RB-E2F target gene analyses identifies cell cycle gene regulatory networks von Fischer, Martin, Grossmann, Patrick, Padi, Megha, DeCaprio, James A

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Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach von Aerts, Hugo J. W. L., Velazquez, Emmanuel Rios, Leijenaar, Ralph T. H., Parmar, Chintan, Grossmann, Patrick, Carvalho, Sara, Bussink, Johan, Monshouwer, René, Haibe-Kains, Benjamin, Rietveld, Derek, Hoebers, Frank, Rietbergen, Michelle M., Leemans, C. René, Dekker, Andre, Quackenbush, John, Gillies, Robert J., Lambin, Philippe

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Radiomic phenotype features predict pathological response in non-small cell lung cancer von Coroller, Thibaud P, Agrawal, Vishesh, Narayan, Vivek, Hou, Ying, Grossmann, Patrick, Lee, Stephanie W, Mak, Raymond H, Aerts, Hugo J.W.L

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PharmacoGx: an R package for analysis of large pharmacogenomic datasets von Smirnov, Petr, Safikhani, Zhaleh, El-Hachem, Nehme, Wang, Dong, She, Adrian, Olsen, Catharina, Freeman, Mark, Selby, Heather, Gendoo, Deena M A, Grossmann, Patrick, Beck, Andrew H, Aerts, Hugo J W L, Lupien, Mathieu, Goldenberg, Anna, Haibe-Kains, Benjamin

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Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab von Grossmann, Patrick, Narayan, Vivek, Chang, Ken, Rahman, Rifaquat, Abrey, Lauren, Reardon, David A, Schwartz, Lawrence H, Wen, Patrick Y, Alexander, Brian M, Huang, Raymond, Aerts, Hugo J W L

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Integration of TP53, DREAM, MMB-FOXM1 and RB-E2F target gene analyses identifies cell cycle gene regulatory networks von Fischer, Martin, Grossmann, Patrick, Padi, Megha, DeCaprio, James A

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Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma von Grossmann, Patrick, Gutman, David A, Dunn, Jr, William D, Holder, Chad A, Aerts, Hugo J W L

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Somatic mutations associated with MRI-derived volumetric features in glioblastoma von Gutman, David A., Dunn, William D., Grossmann, Patrick, Cooper, Lee A. D., Holder, Chad A., Ligon, Keith L., Alexander, Brian M., Aerts, Hugo J. W. L.

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Correction: Corrigendum: Defining a Radiomic Response Phenotype: A Pilot Study using targeted therapy in NSCLC von Aerts, Hugo J. W. L., Grossmann, Patrick, Tan, Yongqiang, Oxnard, Geoffrey R., Rizvi, Naiyer, Schwartz, Lawrence H., Zhao, Binsheng

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