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Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation.

, , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 451-459. (2016)

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Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications., , , , , and . CoRR, (2014)Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning., , , and . MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 297-308. Springer, (2022)The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation., , , , , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 456-465. Springer, (2021)Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction., , , , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 1239-1253. PMLR, (2023)MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images., , , , , , , , , and 7 other author(s). Medical Image Anal., (2024)Lung segmentation based on a deep learning approach for dynamic chest radiography., , , , , , and . Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503M. SPIE, (2019)From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors., , , , , , and . Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT., , , , , , , , , and 3 other author(s). Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109531I. SPIE, (2019)Active appearance model and deep learning for more accurate prostate segmentation on MRI., , , , , , , , , and 1 other author(s). Image Processing, volume 9784 of SPIE Proceedings, page 97842I. SPIE, (2016)Anatomy-specific classification of medical images using deep convolutional nets., , , , , , , and . ISBI, page 101-104. IEEE, (2015)