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Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning., , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 315-325. PMLR, (2019)Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks., , , , and . CoRR, (2020)Inferring a third spatial dimension from 2D histological images., , , , and . ISBI, page 586-589. IEEE, (2018)A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging., , , , , , , , , and 34 other author(s). CoRR, (2020)LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset., , , , , , , , , and 11 other author(s). IEEE J. Biomed. Health Informatics, 28 (3): 1161-1172 (March 2024)Detection of acini in histopathology slides: towards automated prediction of breast cancer risk., , , , , , , and . Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 109560Q. SPIE, (2019)Detecting mitotic figures in breast cancer histopathology images., , and . Medical Imaging: Digital Pathology, volume 8676 of SPIE Proceedings, page 867607. SPIE, (2013)Adversarial Training and Dilated Convolutions for Brain MRI Segmentation., , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 56-64. Springer, (2017)Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without Segmentation., , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 632-639. (2016)Automatic cardiac landmark localization by a recurrent neural network., , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094916. SPIE, (2019)