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Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images., , , , , and . IEEE Trans. Medical Imaging, 35 (5): 1196-1206 (2016)Robust normalization protocols for multiplexed fluorescence bioimage analysis., , , , , and . BioData Min., (2016)Cell phenotyping in multi-tag fluorescent bioimages., , , and . Neurocomputing, (2014)FedDropoutAvg: Generalizable federated learning for histopathology image classification., , , and . CoRR, (2021)Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival., , , and . IEEE Access, (2023)Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images., , , , , , and . Medical Image Anal., (2019)A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia., , , , , , , , , and 4 other author(s). CoRR, (2023)Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images., , , and . CoRR, (2023)TIAViz: A Browser-based Visualization Tool for Computational Pathology Models., , , , , , , , , and 1 other author(s). CoRR, (2024)Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images., , , , , and . CoRR, (2023)