Mirza S. Khan

According to our database, Mirza S. Khan authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective.

Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman

Medical Image Anal., August, 2023

Stratification of lung cancer risk with thoracic imaging phenotypes.

Kaiwen Xu, Mirza S. Khan, Thomas Z. Li, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification.

Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Inference-based correction of multi-site height and weight measurement data in the <i>All of Us</i> research program.

Mirza S. Khan, Robert J. Carroll

J. Am. Medical Informatics Assoc., 2022

Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model.

Riqiang Gao, Thomas Z. Li, Yucheng Tang, Kaiwen Xu, Mirza S. Khan, Michael N. Kammer, Sanja L. Antic, Stephen Deppen, Yuankai Huo, Thomas A. Lasko, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman

Comput. Biol. Medicine, 2022

Extending the value of routine lung screening CT with quantitative body composition assessment.

Kaiwen Xu, Riqiang Gao, Yucheng Tang, Steve A. Deppen, Kim L. Sandler, Michael N. Kammer, Sanja L. Antic, Fabien Maldonado, Yuankai Huo, Mirza S. Khan, Bennett A. Landman

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT.

Riqiang Gao, Mirza S. Khan, Yucheng Tang, Kaiwen Xu, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman

CoRR, 2021

Development and characterization of a chest CT atlas.

Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Image-based Phenotyping for Risk Stratification in the National Lung Screening Trial.

Mirza S. Khan, Kaiwen Xu, Stephen A. Deppen, Kim L. Sandler, Bennett A. Landman

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports.

Mirza S. Khan, Bennett A. Landman, Stephen A. Deppen, Michael E. Matheny

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2019

Sickle Cell Disease Phenotype Algorithm Performance in Adult, Pediatric, and Transitional Care.

Mirza S. Khan, Mark Rodeghier, Robert M. Cronin

Proceedings of the AMIA 2019, 2019