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Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography., , , , , , , and . CoRR, (2022)Development and characterization of a chest CT atlas., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)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)Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection., , , , , , , , , and 2 other author(s). MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 310-318. Springer, (2019)Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective., , , , , , , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 647-656. Springer, (2021)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)Image-based Phenotyping for Risk Stratification in the National Lung Screening Trial., , , , and . AMIA, AMIA, (2021)Incomplete Smoking History Data Leads to Unknown Lung Cancer Screening Eligibility Status, and a Potential Solution., , , , and . AMIA, AMIA, (2022)Time-distanced gates in long short-term memory networks., , , , , , , , , and 2 other author(s). Medical Image Anal., (2020)Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT., , , , , , , , and . CoRR, (2021)