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Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 94141R. SPIE, (2015)Robust automated lymph node segmentation with random forests., , , , , и . Medical Imaging: Image Processing, том 9034 из SPIE Proceedings, стр. 90343X. SPIE, (2014)Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies., , , , , и . MICCAI (4), том 12264 из Lecture Notes in Computer Science, стр. 45-55. Springer, (2020)A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling., , , , , и . IEEE Trans. Image Processing, 26 (1): 386-399 (2017)Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 941413. SPIE, (2015)Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge., , , , , , , , , и 26 other автор(ы). Medical Image Anal., (2022)Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation., , , , , , , , , и 7 other автор(ы). ECCV (21), том 13681 из Lecture Notes in Computer Science, стр. 437-455. Springer, (2022)A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans., , , , и . ABDI@MICCAI, том 8676 из Lecture Notes in Computer Science, стр. 103-113. Springer, (2014)Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan., , , , , , , , , и 10 other автор(ы). CoRR, (2020)Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion., , , , , , , и . ISBI, стр. 1107-1110. IEEE, (2014)