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Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI., , , , , and . CoRR, (2019)Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings., , , , , , and . ICMLA, page 677-684. IEEE, (2020)I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications., , , , , , , , , and 1 other author(s). HEALTHINF, page 566-574. SCITEPRESS, (2021)The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI., and . CoRR, (2017)DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences., , , , , and . CoRR, (2019)Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study., , , , , , , , , and 2 other author(s). CoRR, (2019)Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study., , , , , , , , , and 2 other author(s). npj Digit. Medicine, (2021)AutoPtosis., , , , and . CoRR, (2021)Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors., , , , , , and . CoRR, (2017)Differential Data Augmentation Techniques for Medical Imaging Classification Tasks., , , and . AMIA, AMIA, (2017)