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Segmentation of the whole breast from low-dose chest CT images., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 94140I. SPIE, (2015)Fully automated gynecomastia quantification from low-dose chest CT., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 1057524. SPIE, (2018)Prediction of tumor volumes using an exponential model., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 6514 из SPIE Proceedings, стр. 65143A. SPIE, (2007)Automated segmentation of cardiac visceral fat in low-dose non-contrast chest CT images., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 94140G. SPIE, (2015)Automated aortic calcification detection in low-dose chest CT images., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9035 из SPIE Proceedings, стр. 90350P. SPIE, (2014)Method for analysis and display of distribution of emphysema in CT scans., , , и . Medical Imaging: Image Processing, том 5032 из SPIE Proceedings, SPIE, (2003)Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 1095039. SPIE, (2019)Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans., , , , , , , , , и 1 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)Effect of observer variability and training cases on U-Net segmentation performance., , , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 11316 из SPIE Proceedings, стр. 113160T. SPIE, (2020)Fully automated bone mineral density assessment from low-dose chest CT., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 105750M. SPIE, (2018)