Kaiwen Xu

According to our database, Kaiwen Xu authored at least 24 papers between 2020 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

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

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis.

Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo

Proceedings of the Medical Imaging with Deep Learning, 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

Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs.

Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

ACLPSO with Dynamic Interval Scaling and Learning Probability Tradeoff Coefficients.

Yi Zhang, Xiang Yu, Kaiwen Xu

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2023

Comparison of CLPSO, ECLPSO and ACLPSO on CEC2013 Multimodal Benchmark Functions.

Yi Zhang, Xiang Yu, Kaiwen Xu

Proceedings of the Bio-Inspired Computing: Theories and Applications, 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

Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training.

Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman

CoRR, 2022

Multi-contrast computed tomography healthy kidney atlas.

Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman

Comput. Biol. Medicine, 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

Validation of group-wise registration for surface-based functional MRI analysis.

Chang Yu, Yue Liu, Leon Y. Cai, Cailey I. Kerley, Kaiwen Xu, Warren D. Taylor, Hakmook Kang, Andrea T. Shafer, Lori L. Beason-Held, Susan M. Resnick, Bennett A. Landman, Ilwoo Lyu

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

Measure partial liver volumetric variations from paired inspiratory-expiratory chest CT scans.

Can Luo, James G. Terry, Yucheng Tang, Kaiwen Xu, Pierre P. Massion, Bennett A. Landman, Jeffrey Carr, Yuankai Huo

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

Construction of a multi-phase contrast computed tomography kidney atlas.

Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, 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