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Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort., , , , , , , , , and 8 other author(s). CoRR, (2020)Quantification of Tomographic Patterns associated with COVID-19 from Chest CT., , , , , , , , , and 10 other author(s). CoRR, (2020)The importance of data domain on self-supervised learning for brain metastasis detection and segmentation., , , , , , , , , and 9 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19., , , , , , , , , and 3 other author(s). CoRR, (2020)Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images., , , , , , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 254-262. Springer, (2018)Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans., , , , , , , , , and 6 other author(s). ICCVW, page 487-495. IEEE, (2021)3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation., , , , , , , , , and 8 other author(s). Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)