AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection von Xu, Kaiwen, Khan, Mirza S, Li, Thomas Z, Gao, Riqiang, Terry, James G, Huo, Yuankai, Lasko, Thomas A, Carr, John Jeffrey, Maldonado, Fabien, Landman, Bennett A, Sandler, Kim L

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Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks von Krishnan, Aravind R., Xu, Kaiwen, Li, Thomas Z., Remedios, Lucas W., Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A.

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Curating retrospective multimodal and longitudinal data for community cohorts at risk for lung cancer von Li, Thomas Z, Xu, Kaiwen, Chada, Neil C, Chen, Heidi, Knight, Michael, Antic, Sanja, Sandler, Kim L, Maldonado, Fabien, Landman, Bennett A, Lasko, Thomas A

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Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation von Li, Thomas Z., Hin Lee, Ho, Xu, Kaiwen, Gao, Riqiang, Dawant, Benoit M., Maldonado, Fabien, Sandler, Kim L., Landman, Bennett A.

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Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation von Lee, Ho Hin, Liu, Quan, Bao, Shunxing, Yang, Qi, Yu, Xin, Cai, Leon Y., Li, Thomas Z., Huo, Yuankai, Koutsoukos, Xenofon, Landman, Bennett A.

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Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification von Li, Thomas Z., Still, John M., Xu, Kaiwen, Lee, Ho Hin, Cai, Leon Y., Krishnan, Aravind R., Gao, Riqiang, Khan, Mirza S., Antic, Sanja, Kammer, Michael, Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A., Lasko, Thomas A.

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The Lung Cancer Prediction Model “Stress Test” von Heideman, Brent E., Kammer, Michael N., Paez, Rafael, Swanson, Terra, Godfrey, Caroline M., Low, See-Wei, Xiao, David, Li, Thomas Z., Richardson, Jacob R., Knight, Michael A., Shojaee, Samira, Deppen, Stephen A., Lentz, Robert J., Grogan, Eric L., Maldonado, Fabien

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The Lung Cancer Prediction Model "Stress Test": Assessment of Models' Performance in a High-Risk Prospective Pulmonary Nodule Cohort von Heideman, Brent E, Kammer, Michael N, Paez, Rafael, Swanson, Terra, Godfrey, Caroline M, Low, See-Wei, Xiao, David, Li, Thomas Z, Richardson, Jacob R, Knight, Michael A, Shojaee, Samira, Deppen, Stephen A, Lentz, Robert J, Grogan, Eric L, Maldonado, Fabien

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Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence von Lasko, Thomas A, Still, John M, Li, Thomas Z, Mota, Marco Barbero, Stead, William W, Strobl, Eric V, Landman, Bennett A, Maldonado, Fabien

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Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography von Li, Thomas Z, Xu, Kaiwen, Gao, Riqiang, Tang, Yucheng, Lasko, Thomas A, Maldonado, Fabien, Sandler, Kim, Landman, Bennett A

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No winners: Performance of lung cancer prediction models depends on screening-detected, incidental, and biopsied pulmonary nodule use cases von Li, Thomas Z, Xu, Kaiwen, Krishnan, Aravind, Gao, Riqiang, Kammer, Michael N, Antic, Sanja, Xiao, David, Knight, Michael, Martinez, Yency, Paez, Rafael, Lentz, Robert J, Deppen, Stephen, Grogan, Eric L, Lasko, Thomas A, Sandler, Kim L, Maldonado, Fabien, Landman, Bennett A

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Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior von Xu, Kaiwen, Krishnan, Aravind R, Li, Thomas Z, Huo, Yuankai, Sandler, Kim L, Maldonado, Fabien, Landman, Bennett A

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Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification von Li, Thomas Z, Still, John M, Xu, Kaiwen, Lee, Ho Hin, Cai, Leon Y, Krishnan, Aravind R, Gao, Riqiang, Khan, Mirza S, Antic, Sanja, Kammer, Michael, Sandler, Kim L, Maldonado, Fabien, Landman, Bennett A, Lasko, Thomas A

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Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence von Lasko, Thomas A, Still, John M, Li, Thomas Z, Marco Barbero Mota, Stead, William W, Strobl, Eric V, Landman, Bennett A, Maldonado, Fabien

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Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography von Li, Thomas Z, Xu, Kaiwen, Gao, Riqiang, Tang, Yucheng, Lasko, Thomas A, Maldonado, Fabien, Sandler, Kim, Landman, Bennett A

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No winners: Performance of lung cancer prediction models depends on screening-detected, incidental, and biopsied pulmonary nodule use cases von Li, Thomas Z, Xu, Kaiwen, Krishnan, Aravind, Gao, Riqiang, Kammer, Michael N, Antic, Sanja, Xiao, David, Knight, Michael, Martinez, Yency, Paez, Rafael, Lentz, Robert J, Deppen, Stephen, Grogan, Eric L, Lasko, Thomas A, Sandler, Kim L, Maldonado, Fabien, Landman, Bennett A

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Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification von Li, Thomas Z, Still, John M, Xu, Kaiwen, Lee, Ho Hin, Cai, Leon Y, Krishnan, Aravind R, Gao, Riqiang, Khan, Mirza S, Antic, Sanja, Kammer, Michael, Sandler, Kim L, Maldonado, Fabien, Landman, Bennett A, Lasko, Thomas A

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Process for improving stability of glycerin von Li, Thomas Z

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Process for improving stability of glycerin von LI THOMAS Z

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CIRCUITS, DEVICES AND METHODS FOR ACHIEVING SMALL DUTY CYCLES IN SWITCHING REGULATORS von THOMAS ZOKI LI TZ, GHADER RAZMAFROUZ G

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