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Colitis detection on abdominal CT scans by rich feature hierarchies.

, , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97851N. SPIE, (2016)

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Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94141R. SPIE, (2015)Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging., , , , , , , , , and 9 other author(s). CoRR, (2024)A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling., , , , , and . CoRR, (2015)Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan., , , , , , , , , and 10 other author(s). CoRR, (2020)Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion., , , , , , , and . ISBI, page 1107-1110. IEEE, (2014)A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans., , , , and . ABDI@MICCAI, volume 8676 of Lecture Notes in Computer Science, page 103-113. Springer, (2014)Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports., , , , , , and . MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 571-581. Springer, (2021)A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling., , , , , and . IEEE Trans. Image Processing, 26 (1): 386-399 (2017)Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation., , , , , , , , , and 7 other author(s). ECCV (21), volume 13681 of Lecture Notes in Computer Science, page 437-455. Springer, (2022)Robust automated lymph node segmentation with random forests., , , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90343X. SPIE, (2014)