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Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations., , , , , , , , , and 17 other author(s). CoRR, (2021)LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset., , , , , , , , , and 11 other author(s). CoRR, (2023)A Novel Cell Orientation Congruence Descriptor for Superpixel Based Epithelium Segmentation in Endometrial Histology Images., , and . Patch-MI@MICCAI, volume 9467 of Lecture Notes in Computer Science, page 172-179. Springer, (2015)A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images., , , , , and . Patch-MI@MICCAI, volume 9467 of Lecture Notes in Computer Science, page 154-162. Springer, (2015)A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space., , , and . MIUA, page 132-137. BMVA, (2015)Cell Nuclei Segmentation in Variable Intensity Fluorescence Microscopy Images., and . MIUA, page 28-33. BMVA, (2015)Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification., , , , , , , , , and 7 other author(s). ICCVW, page 684-693. IEEE, (2021)Nuclear Segmentation and Classification: On Color and Compression Generalization., , , , , , , and . MLMI@MICCAI, volume 13583 of Lecture Notes in Computer Science, page 249-258. Springer, (2022)CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting., , , , , , , , , and 25 other author(s). Medical Image Anal., (February 2024)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)