Abstract: Various example embodiments are described in which an anisotropic encoder-decoder convolutional neural network architecture is employed to process multiparametric magnetic resonance images for the generation of cancer predication maps. In some example embodiments, a simplified anisotropic encoder-decoder convolutional neural network architecture may include an encoder portion that is deeper than a decoder portion. In some example embodiments, simplified network architectures may be combined with test-time-augmentation in order to facilitate training and testing with a minimal number of test subjects.

Abstract: Provided herein are methods for treating cancers (e.g., inflammatory myofibroblastic tumor, anaplastic large cell lymphoma, and neuroblastoma) in pediatric patients using brigatinib, as monotherapy or combination therapy with one or more second therapeutic agents.

Abstract: Provided herein are methods for treating cancers (e.g., inflammatory myofibroblastic tumor, anaplastic large cell lymphoma, and neuroblastoma) in pediatric patients using brigatinib, as monotherapy or combination therapy with one or more second therapeutic agents.