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Thomas Z Li

Showing results (1-10 of 16) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|April 17, 2023
Characterizing browser-based medical imaging AI with serverless edge computing: towards addressing clinical data security constraintsChenxi Dong, Thomas Z Li, Kaiwen Xu, et al.
Medical Physics|March 26, 2024
Lung CT harmonization of paired reconstruction kernel images using generative adversarial networksAravind R Krishnan, Kaiwen Xu, Thomas Z Li, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 19, 2023
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomographyThomas Z Li, Kaiwen Xu, Riqiang Gao, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 20, 2023
Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentationThomas Z Li, Ho Hin Lee, Kaiwen Xu, et al.
Proceedings of Machine Learning Research|May 25, 2026
Contrastive Patient-level Pretraining Enables Longitudinal and Multimodal Fusion for Lung Cancer Risk PredictionThomas Z Li, Lianrui Zuo, Yihao Liu, et al.
Proceedings of Spie--The International Society for Optical Engineering|April 16, 2026
Cohort-Aware Agents for Individualized Lung Cancer Risk Prediction Using a Retrieval-Augmented Model Selection FrameworkChongyu Qu, Allen J Luna, Thomas Z Li, et al.
Medrxiv : the Preprint Server for Health Sciences|May 19, 2025
Longitudinal Masked Representation Learning for Pulmonary Nodule Diagnosis from Language Embedded EHRsThomas Z Li, John M Still, Lianrui Zuo, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 29, 2025
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image SegmentationHo Hin Lee, Quan Liu, Shunxing Bao, et al.
Cancer Biomarkers : Section a of Disease Markers|March 22, 2024
Curating retrospective multimodal and longitudinal data for community cohorts at risk for lung cancerThomas Z Li, Kaiwen Xu, Neil C Chada, et al.
Journal of Biomedical Informatics|April 25, 2025
Unsupervised discovery of clinical disease signatures using probabilistic independenceThomas A Lasko, William W Stead, John M Still, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Proceedings of Spie--The International Society for Optical Engineering|April 17, 2023
Characterizing browser-based medical imaging AI with serverless edge computing: towards addressing clinical data security constraintsChenxi Dong, Thomas Z Li, Kaiwen Xu, et al.
Medical Physics|March 26, 2024
Lung CT harmonization of paired reconstruction kernel images using generative adversarial networksAravind R Krishnan, Kaiwen Xu, Thomas Z Li, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 19, 2023
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomographyThomas Z Li, Kaiwen Xu, Riqiang Gao, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 20, 2023
Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentationThomas Z Li, Ho Hin Lee, Kaiwen Xu, et al.
Proceedings of Machine Learning Research|May 25, 2026
Contrastive Patient-level Pretraining Enables Longitudinal and Multimodal Fusion for Lung Cancer Risk PredictionThomas Z Li, Lianrui Zuo, Yihao Liu, et al.
Proceedings of Spie--The International Society for Optical Engineering|April 16, 2026
Cohort-Aware Agents for Individualized Lung Cancer Risk Prediction Using a Retrieval-Augmented Model Selection FrameworkChongyu Qu, Allen J Luna, Thomas Z Li, et al.
Medrxiv : the Preprint Server for Health Sciences|May 19, 2025
Longitudinal Masked Representation Learning for Pulmonary Nodule Diagnosis from Language Embedded EHRsThomas Z Li, John M Still, Lianrui Zuo, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 29, 2025
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image SegmentationHo Hin Lee, Quan Liu, Shunxing Bao, et al.
Cancer Biomarkers : Section a of Disease Markers|March 22, 2024
Curating retrospective multimodal and longitudinal data for community cohorts at risk for lung cancerThomas Z Li, Kaiwen Xu, Neil C Chada, et al.
Journal of Biomedical Informatics|April 25, 2025
Unsupervised discovery of clinical disease signatures using probabilistic independenceThomas A Lasko, William W Stead, John M Still, et al.
Pageof 2