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Extending the value of routine lung screening CT with quantitative body composition assessment., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk., , , , , , , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model., , , , , , , , , and 3 other author(s). Comput. Biol. Medicine, (2022)Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification., , , , , , , , , and 4 other author(s). MICCAI (2), volume 14221 of Lecture Notes in Computer Science, page 649-659. Springer, (2023)A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging., , , , , , , , , and . CoRR, (2022)Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk., , , , , , , , , and . CoRR, (2020)