Kim L. Sandler

According to our database, Kim L. Sandler authored at least 23 papers between 2019 and 2023.

Collaborative distances:

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

2023

Leveraging natural language processing to identify eligible lung cancer screening patients with the electronic health record.

Siru Liu, Allison B. McCoy, Melinda C. Aldrich, Kim L. Sandler, Thomas J. Reese, Bryan D. Steitz, Jiang Bian, Yonghui Wu, Elise M. Russo, Adam Wright

Int. J. Medical Informatics, September, 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

Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation.

Aravind R. Krishnan, Kaiwen Xu, Thomas Z. Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Isgum, Bennett A. Landman

CoRR, 2023

Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior.

Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman

CoRR, 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

Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography.

Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, 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

Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.

Praitayini Kanakaraj, Karthik Ramadass, Shunxing Bao, Melissa A. Basford, Laura M. Jones, Ho Hin Lee, Kaiwen Xu, Kurt G. Schilling, John Jeffrey Carr, James G. Terry, Yuankai Huo, Kim L. Sandler, Allen T. Netwon, Bennett A. Landman

J. Digit. Imaging, 2022

A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging.

Riqiang Gao, Thomas Z. Li, Yucheng Tang, Zhoubing Xu, Michael N. Kammer, Sanja L. Antic, Kim L. Sandler, Fabien Maldonado, Thomas A. Lasko, Bennett A. Landman

CoRR, 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

Incomplete Smoking History Data Leads to Unknown Lung Cancer Screening Eligibility Status, and a Potential Solution.

Lauren Hatcher, Allison B. McCoy, Hannah Marmor, Landon Fike, Kim L. Sandler

Proceedings of the AMIA 2022, 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

Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk.

Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman

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

Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.

Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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

2020

Time-distanced gates in long short-term memory networks.

Riqiang Gao, Yucheng Tang, Kaiwen Xu, Yuankai Huo, Shunxing Bao, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman

Medical Image Anal., 2020

Multi-path x-D recurrent neural networks for collaborative image classification.

Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman

Neurocomputing, 2020

Internal-transfer weighting of multi-task learning for lung cancer detection.

Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging.

Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Semi-supervised Machine Learning with MixMatch and Equivalence Classes.

Colin B. Hansen, Vishwesh Nath, Riqiang Gao, Camilo Bermudez, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Jeffrey D. Blume, Thomas A. Lasko, Bennett A. Landman

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection.

Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019