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Hierarchical model-based object localization for auto-contouring in head and neck radiation therapy planning., , , , , , , , , and 2 other author(s). Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 1057822. SPIE, (2018)Anatomy-guided deep learning for object localization in medical images., , , , , , , , , and 5 other author(s). Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Quantitative analysis of adipose tissue on chest CT to predict primary graft dysfunction in lung transplant recipients: a novel optimal biomarker approach., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105753K. SPIE, (2018)Object recognition in medical images via anatomy-guided deep learning., , , , , , , , , and 5 other author(s). Medical Image Anal., (2022)Fat segmentation on chest CT images via fuzzy models., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 978609. SPIE, (2016)Auto-segmentation of thoracic brachial plexuses for radiation therapy planning., , , , , , , , , and 1 other author(s). Medical Imaging: Image-Guided Procedures, volume 12466 of SPIE Proceedings, SPIE, (2023)Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images., , , , , , , , , and 4 other author(s). Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 1057617. SPIE, (2018)AAR-RT - A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases., , , , , , , , , and 7 other author(s). Medical Image Anal., (2019)Image quality and segmentation., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 105762N. SPIE, (2018)