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 (MLMI@MICCAI, 2019)

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 (iMIMIC/MIL3ID/LABELS@MICCAI, 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 (Image Processing, 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 (Image Processing, 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)

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)

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 (AMIA, 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 (MICCAI (5), 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 (Image Processing, 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 (Image Processing, 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)

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 (AMIA, 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 (Image Processing, 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; et al. (Comput. Biol. Medicine, 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)

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; et al. (J. Digit. Imaging, 2022)

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)

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 001; Yonghui Wu; Elise M. Russo; Adam Wright (Int. J. Medical Informatics, 2023)

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)

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)

Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD. - Aravind R. Krishnan; Yihao Liu; Kaiwen Xu; Michael E. Kim; Lucas W. Remedios; Gaurav Rudravaram; Adam M. Saunders; Bradley W. Richmond; Kim L. Sandler; Fabien Maldonado; Bennett A. Landman; Lianrui Zuo (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)

Cohort-Aware Agents for Individualized Lung Cancer Risk Prediction Using a Retrieval-Augmented Model Selection Framework. - Chongyu Qu; Allen J. Luna; Thomas Z. Li; Junchao Zhu; Junlin Guo; Juming Xiong; Kim L. Sandler; Bennett A. Landman; Yuankai Huo (CoRR, 2025)