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Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data.

, , , , and . SMC, page 1331-1335. IEEE, (2019)

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Towards High Performing and Reliable Deep Convolutional Neural Network Models for Typically Limited Medical Imaging Datasets.. University of South Florida, Tampa, USA, (2022)base-search.net (ftusouthflorida:oai:digitalcommons.usf.edu:etd-10944).Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction., , , , , and . SMC, page 1357-1362. IEEE, (2017)Fine-tuning convolutional deep features for MRI based brain tumor classification., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101342E. SPIE, (2017)Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data., , , , and . SMC, page 1331-1335. IEEE, (2019)A Compartive Study of Cloud Computing Middleware., , , , , and . CCGRID, page 690-693. IEEE Computer Society, (2012)Visual sentiment prediction with transfer learning and big data analytics for smart cities., , , and . CIST, page 800-805. IEEE, (2016)Detecting Distracted Driving Using a Wrist-Worn Wearable., , , , and . PerCom Workshops, page 233-238. IEEE Computer Society, (2018)Exploring deep features from brain tumor magnetic resonance images via transfer learning., , , , , and . IJCNN, page 235-242. IEEE, (2016)