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Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities by Sara Merkaj, Ryan C. Bahar, Tal Zeevi, MingDe Lin, Ichiro Ikuta, Khaled Bousabarah, Gabriel I. Cassinelli Petersen, Lawrence Staib, Seyedmehdi Payabvash, John T. Mongan, Soonmee Cha, Mariam S. Aboian
Published 2022-05-01
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Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning by Ahmet Said Kucukkaya, Tal Zeevi, Nathan Xianming Chai, Rajiv Raju, Stefan Philipp Haider, Mohamed Elbanan, Alexandra Petukhova-Greenstein, MingDe Lin, John Onofrey, Michal Nowak, Kirsten Cooper, Elizabeth Thomas, Jessica Santana, Bernhard Gebauer, David Mulligan, Lawrence Staib, Ramesh Batra, Julius Chapiro
Published 2023-05-01
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Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review by Leon Jekel, Waverly R. Brim, Marc von Reppert, Lawrence Staib, Gabriel Cassinelli Petersen, Sara Merkaj, Harry Subramanian, Tal Zeevi, Seyedmehdi Payabvash, Khaled Bousabarah, MingDe Lin, Jin Cui, Alexandria Brackett, Amit Mahajan, Antonio Omuro, Michele H. Johnson, Veronica L. Chiang, Ajay Malhotra, Björn Scheffler, Mariam S. Aboian
Published 2022-03-01
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