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Neural Image Compression for Gigapixel Histopathology Image Analysis., , , and . CoRR, (2018)Virtual Staining for Mitosis Detection in Breast Histopathology., , , , , , and . ISBI, page 1770-1774. IEEE, (2020)H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection., , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810Z. SPIE, (2018)Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks., , , , , , , , , and 3 other author(s). IEEE Trans. Medical Imaging, 37 (9): 2126-2136 (2018)Extending Unsupervised Neural Image Compression With Supervised Multitask Learning., , , , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 770-783. PMLR, (2020)Neural Image Compression for Gigapixel Histopathology Image Analysis., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (2): 567-578 (2021)Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images., , , , , , , and . Medical Imaging: Digital Pathology, volume 11603 of SPIE Proceedings, SPIE, (2021)Predicting arousal with machine learning of EEG signals., , , , , and . CogInfoCom, page 137-140. IEEE, (2014)Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology., , , , , , and . Medical Image Anal., (2019)Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge., , , , , , , , , and 9 other author(s). Medical Image Anal., (2019)