Thomas Z. Li - RankMe

26 papers B 2Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning. CoRR Chongyu Qu, Zhengyi Lu, Yuxiang Lai, Thomas Z. Li, Junchao Zhu, Junlin Guo, Juming Xiong, Yanfan Zhu, Yuechen Yang, Allen J. Luna, Kim L. Sandler, Bennett A. Landman, Yuankai Huo
2025	J	`jnl`	Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models. CoRR Lianrui Zuo, Kaiwen Xu, Dingjie Su, Xin Yu, Aravind R. Krishnan, Yihao Liu, Shunxing Bao, Thomas Z. Li, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
2025	—	`conf`	CT Contrast Phase Identification by Predicting the Temporal Angle Using Circular Regression. ISBI Dingjie Su, Katherine D. Van Schaik, Lucas W. Remedios, Thomas Z. Li, Fabien Maldonado, Kim L. Sandler, Benoit M. Dawant, Bennett A. Landman
2025	J	`jnl`	Cohort-Aware Agents for Individualized Lung Cancer Risk Prediction Using a Retrieval-Augmented Model Selection Framework. CoRR Chongyu Qu, Allen J. Luna, Thomas Z. Li, Junchao Zhu, Junlin Guo, Juming Xiong, Kim L. Sandler, Bennett A. Landman, Yuankai Huo
2025	J	`jnl`	Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels. CoRR Aravind R. Krishnan, Thomas Z. Li, Lucas W. Remedios, Michael E. Kim, Chenyu Gao, Gaurav Rudravaram, Elyssa M. McMaster, Adam M. Saunders, Shunxing Bao, Kaiwen Xu, Lianrui Zuo, Kim L. Sandler, Fabien Maldonado, Yuankai Huo, Bennett A. Landman
2025	J	`jnl`	Self-supervised learning of imaging and clinical signatures using a multimodal joint-embedding predictive architecture. CoRR Thomas Z. Li, Aravind R. Krishnan, Lianrui Zuo, John M. Still, Kim L. Sandler, Fabien Maldonado, Thomas A. Lasko, Bennett A. Landman
2025	J	`jnl`	Unsupervised discovery of clinical disease signatures using probabilistic independence. J. Biomed. Informatics Thomas A. Lasko, William W. Stead, John M. Still, Thomas Z. Li, Michael N. Kammer, Marco Barbero Mota, Eric V. Strobl, Bennett A. Landman, Fabien Maldonado
2024	J	`jnl`	Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. CoRR Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Nancy R. Newlin, Adam M. Saunders, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
2024	J	`jnl`	Nucleus subtype classification using inter-modality learning. CoRR Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
2024	J	`jnl`	Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence. CoRR Thomas A. Lasko, John M. Still, Thomas Z. Li, Marco Barbero Mota, William W. Stead, Eric V. Strobl, Bennett A. Landman, Fabien Maldonado
2023	J	`jnl`	Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective. Medical Image Anal. Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
2023	J	`jnl`	Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation. CoRR 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
2023	J	`jnl`	Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification. CoRR 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
2023	—	`conf`	Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. MICCAI (2) 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
2023	J	`jnl`	Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. CoRR Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman
2023	—	`conf`	Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. MICCAI (4) Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman
2023	B	`conf`	Stratification of lung cancer risk with thoracic imaging phenotypes. Image Processing Kaiwen Xu, Mirza S. Khan, Thomas Z. Li, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
2023	B	`conf`	Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. Image Processing Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman
2023	J	`jnl`	UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Anal. Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang
2023	J	`jnl`	Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior. CoRR Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
2022	J	`jnl`	A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging. CoRR 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
2022	J	`jnl`	Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective. CoRR Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
2022	J	`jnl`	Characterizing Renal Structures with 3D Block Aggregate Transformers. CoRR Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman
2022	J	`jnl`	Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. Comput. Biol. Medicine 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
2022	J	`jnl`	Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. CoRR Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman
2022	J	`jnl`	UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang