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Targeting mTORC1 Activity to Improve Efficacy of Radioligand Therapy in Cancer von Grzmil, Michal, Wiesmann, Fabius, Schibli, Roger, Behe, Martin

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Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI von di Noia, Christian, Grist, James T, Riemer, Frank, Lyasheva, Maria, Fabozzi, Miriana, Castelli, Mauro, Lodi, Raffaele, Tonon, Caterina, Rundo, Leonardo, Zaccagna, Fulvio

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Comparison of MRI Sequences to Predict IDH Mutation Status in Gliomas Using Radiomics-Based Machine Learning von Kasap, Dilek N G, Mora, Nabila Gala Nacul, Blömer, David A, Akkurt, Burak Han, Heindel, Walter Leonhard, Mannil, Manoj, Musigmann, Manfred

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Comparison of MRI Sequences to Predict IIDH/I Mutation Status in Gliomas Using Radiomics-Based Machine Learning von Kasap, Dilek N. G, Mora, Nabila Gala Nacul, Blömer, David A, Akkurt, Burak Han, Heindel, Walter Leonhard, Mannil, Manoj, Musigmann, Manfred

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Brain Tumor Recognition Using Artificial Intelligence Neural-Networks (BRAIN): A Cost-Effective Clean-Energy Platform von Ghauri, Muhammad S, Wang, Jen-Yeu, Reddy, Akshay J, Shabbir, Talha, Tabaie, Ethan, Siddiqi, Javed

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Effects of Multi-Shell Free Water Correction on Glioma Characterization von Starck, Lea, Zaccagna, Fulvio, Pasternak, Ofer, Gallagher, Ferdia A, Grüner, Renate, Riemer, Frank

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