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Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging., , , , , , , , and . CoRR, (2019)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)Time-distanced gates in long short-term memory networks., , , , , , , , , and 2 other author(s). Medical Image Anal., (2020)Multi-path x-D recurrent neural networks for collaborative image classification., , , , , , , , , and 1 other author(s). Neurocomputing, (2020)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)Stratification of lung cancer risk with thoracic imaging phenotypes., , , , , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging., , , , , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113130D. SPIE, (2020)Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk., , , , , , , , , and . CoRR, (2020)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 detection using co-learning from chest CT images and clinical demographics., , , , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491G. SPIE, (2019)