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; et al. (Comput. Biol. Medicine, 2022)

Characterizing Renal Structures with 3D Block Aggregate Transformers. - Xin Yu 010; Yucheng Tang; Yinchi Zhou; Riqiang Gao; Qi Yang 004; Ho Hin Lee; Thomas Z. Li; Shunxing Bao; Yuankai Huo; Zhoubing Xu; Thomas A. Lasko; Richard G. Abramson; et al. (CoRR, 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)

Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. - Ho Hin Lee; Quan Liu 002; Shunxing Bao; Qi Yang 004; Xin Yu 010; Leon Y. Cai; Thomas Z. Li; Yuankai Huo; Xenofon D. Koutsoukos; Bennett A. Landman (MICCAI (4), 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; et al. (MICCAI (2), 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 (Image Processing, 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 (Image Processing, 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)

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)

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., 2023)

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. - Xin Yu 010; Qi Yang 004; 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; et al. (Medical Image Anal., 2023)

Nucleus subtype classification using inter-modality learning. - Lucas W. Remedios; Shunxing Bao; Samuel W. Remedios; Ho Hin Lee; Leon Y. Cai; Thomas Z. Li; Ruining Deng; Can Cui 006; Jia Li 027; Qi Liu 024; Ken S. Lau; Joseph T. Roland; et al. (CoRR, 2024)

Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence. - Thomas A. Lasko; John M. Still; Thomas Z. Li; Marco Barbero Mota; William W. Stead; Eric V. Strobl; Bennett A. Landman; Fabien Maldonado (CoRR, 2024)

Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. - 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 006; Jia Li 027; Qi Liu 024; et al. (CoRR, 2024)

CT Contrast Phase Identification by Predicting the Temporal Angle Using Circular Regression. - Dingjie Su; Katherine D. Van Schaik; Lucas W. Remedios; Thomas Z. Li; Fabien Maldonado; Kim L. Sandler; Benoit M. Dawant; Bennett A. Landman (ISBI, 2025)

Unsupervised discovery of clinical disease signatures using probabilistic independence. - 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 (J. Biomed. Informatics, 2025)

Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models. - Lianrui Zuo; Kaiwen Xu; Dingjie Su; Xin Yu 010; Aravind R. Krishnan; Yihao Liu; Shunxing Bao; Thomas Z. Li; Kim L. Sandler; Fabien Maldonado; Bennett A. Landman (CoRR, 2025)

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels. - 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; et al. (CoRR, 2025)