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A Web-Based Platform for Distributed Annotation of Computerized Tomography Scans.

, , , and . CVII-STENT/LABELS@MICCAI, volume 10552 of Lecture Notes in Computer Science, page 136-145. Springer, (2017)

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The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge., , , , , , , , , and 9 other author(s). Medical Image Anal., (2021)The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018., , , and . LABELS/HAL-MICCAI/CuRIOUS@MICCAI, volume 11851 of Lecture Notes in Computer Science, page 70-77. Springer, (2019)The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes., , , , , , , , , and 10 other author(s). CoRR, (2019)Imperfect Segmentation Labels: How Much Do They Matter?, , and . CVII-STENT/LABELS@MICCAI, volume 11043 of Lecture Notes in Computer Science, page 112-120. Springer, (2018)AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients., , , , , , , , , and 13 other author(s). CoRR, (2024)Why is the Winner the Best?, , , , , , , , , and 115 other author(s). CVPR, page 19955-19966. IEEE, (2023)Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing., , , , , , , , , and 9 other author(s). iMIMIC/MIL3ID/LABELS@MICCAI, volume 12446 of Lecture Notes in Computer Science, page 1. Springer, (2020)The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT., , , , , , , , , and 35 other author(s). CoRR, (2023)Quality Assured: Rethinking Annotation Strategies in Imaging AI., , , , , , , and . CoRR, (2024)The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge., , , , , , , , , and 31 other author(s). CoRR, (2019)