Browsing Universitätsbibliographie by Author "Divine, Mathew Ryan"

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A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation

Katiyar, Prateek; Divine, Mathew R.; Kohlhofer, Ursula; Quintanilla-Martinez, Leticia; Schoelkopf, Bernhard; Pichler, Bernd J.; Disselhorst, Jonathan A. (2017)
A Population-Based Gaussian Mixture Model Incorporating F-18-FDG PET and Diffusion-Weighted MRI Quantifies Tumor Tissue Classes

Divine, Mathew R.; Katiyar, Prateek; Kohlhofer, Ursula; Quintanilla-Martinez, Leticia; Pichler, Bernd J.; Disselhorst, Jonathan A. (2016)
Assessment of network module identification across complex diseases

Choobdar, Sarvenaz; Ahsen, Mehmet E.; Crawford, Jake; Tomasoni, Mattia; Fang, Tao; Lamparter, David; Lin, Junyuan; Hescott, Benjamin; Hu, Xiaozhe; Mercer, Johnathan; Natoli, Ted; Narayan, Rajiv; Aicheler, Fabian; Amoroso, Nicola; Arenas, Alex; Azhagesan, Karthik; Baker, Aaron; Banf, Michael; Batzoglou, Serafim; Baudot, Anais; Bellotti, Roberto; Bergmann, Sven; Boroevich, Keith A.; Brun, Christine; Cai, Stanley; Caldera, Michael; Calderone, Alberto; Cesareni, Gianni; Chen, Weiqi; Chichester, Christine; Cowen, Lenore; Cui, Hongzhu; Phuong Dao; De Domenico, Manlio; Dhroso, Andi; Didier, Gilles; Divine, Mathew; del Sol, Antonio; Feng, Xuyang; Flores-Canales, Jose C.; Fortunato, Santo; Gitter, Anthony; Gorska, Anna; Guan, Yuanfang; Guenoche, Alain; Gomez, Sergio; Hamza, Hatem; Hartmann, Andras; He, Shan; Heijs, Anton; Heinrich, Julian; Hu, Ying; Huang, Xiaoqing; Hughitt, V. Keith; Jeon, Minji; Jeub, Lucas; Johnson, Nathan T.; Joo, Keehyoung; Joung, InSuk; Jung, Sascha; Kalko, Susana G.; Kamola, Piotr J.; Kang, Jaewoo; Kaveelerdpotjana, Benjapun; Kim, Minjun; Kim, Yoo-Ah; Kohlbacher, Oliver; Korkin, Dmitry; Krzysztof, Kiryluk; Kunji, Khalid; Kutalik, Zoltan; Lage, Kasper; Lang-Brown, Sean; Thuc Duy Le; Lee, Jooyoung; Lee, Sunwon; Lee, Juyong; Li, Dong; Li, Jiuyong; Liu, Lin; Loizou, Antonis; Luo, Zhenhua; Lysenko, Artem; Ma, Tianle; Mall, Raghvendra; Marbach, Daniel; Mattia, Tomasoni; Medvedovic, Mario; Menche, Jorg; Micarelli, Elisa; Monaco, Alfonso; Mueller, Felix; Narykov, Oleksandr; Norman, Thea; Park, Sungjoon; Perfetto, Livia; Perrin, Dimitri; Pirro, Stefano; Przytycka, Teresa M.; Qian, Xiaoning; Raman, Karthik (2019)
ClinVAP: a reporting strategy from variants to therapeutic options

Sueruen, Bilge; Schaerfe, Charlotta P., I; Divine, Mathew R.; Heinrich, Julian; Toussaint, Nora C.; Zimmermann, Lukas; Beha, Janina; Kohlbacher, Oliver (2020)
Image-derived biomarkers and multimodal imaging strategies for lung cancer management

Sauter, Alexander W.; Schwenzer, Nina; Divine, Mathew R.; Pichler, Bernd J.; Pfannenberg, Christina (2015)
In vivo imaging of radiolabeled biologicals and modeling of tumor growth patterns utilizing a combination of PET and MRI

Divine, Mathew Ryan (2016)
Preclinical and Translational PET/MR Imaging

Wehrl, Hans F.; Wiehr, Stefan; Divine, Mathew R.; Gatidis, Sergios; Gullberg, Grant T.; Maier, Florian C.; Rolle, Anna-Maria; Schwenck, Johannes; Thaiss, Wolfgang M.; Pichler, Bernd J. (2014)
Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET-MRI data

Katiyar, Prateek; Schwenck, Johannes; Frauenfeld, Leonie; Divine, Mathew R.; Agrawal, Vaibhav; Kohlhofer, Ursula; Gatidis, Sergios; Kontermann, Roland; Koenigsrainer, Alfred; Quintanilla-Martinez, Leticia; la Fougere, Christian; Schoelkopf, Bernhard; Pichler, Bernd J.; Disselhorst, Jonathan A. (2023)
Spectral Clustering Predicts Tumor Tissue Heterogeneity Using Dynamic F-18-FDG PET: A Complement to the Standard Compartmental Modeling Approach

Katiyar, Prateek; Divine, Mathew R.; Kohlhofer, Ursula; Quintanilla-Martinez, Leticia; Schoelkopf, Bernhard; Pichler, Bernd J.; Disselhorst, Jonathan A. (2017)

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