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)

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 (Image Processing, 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 (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)

Validation of group-wise registration for surface-based functional MRI analysis. - Chang Yu 008; Yue Liu 003; 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 (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)

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)

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)

Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training. - Qi Yang 004; Xin Yu 010; Ho Hin Lee; Leon Y. Cai; Kaiwen Xu; Shunxing Bao; Yuankai Huo; Ann Zenobia Moore; Sokratis Makrogiannis; Luigi Ferrucci; 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)

Comparison of CLPSO, ECLPSO and ACLPSO on CEC2013 Multimodal Benchmark Functions. - Yi Zhang 123; Xiang Yu 006; Kaiwen Xu (BIC-TA (1), 2023)

ACLPSO with Dynamic Interval Scaling and Learning Probability Tradeoff Coefficients. - Yi Zhang 123; Xiang Yu 006; Kaiwen Xu (CyberC, 2023)

Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. - Kaiwen Xu; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IJCAI, 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)

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. - Shunxing Bao; Ho Hin Lee; Qi Yang 004; Lucas Walker Remedios; Ruining Deng; Can Cui 006; Leon Yichen Cai; Kaiwen Xu; Xin Yu 010; Sophie Chiron; Yike Li; Nathan Heath Patterson; et al. (MIDL, 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)

Exploring Cardiopulmonary Interactions: A Novel Phase-Amplitude Coupling Method. - Pengyan Tao; Chien-Hung Yeh; Weifeng Li; Kaiwen Xu; Wenbin Shi (EMBC, 2024)

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. - Shunxing Bao; Junlin Guo; Ho Hin Lee; Ruining Deng; Can Cui 006; Lucas W. Remedios; Quan Liu 002; Qi Yang 004; Kaiwen Xu; Xin Yu 010; Jia Li 027; Yike Li; et al. (ISBI, 2024)

Synthesizing Proton-Density Fat Fraction and R2* from 2-point Dixon MRI with Generative Machine Learning. - Suma Anand; Kaiwen Xu; Colm O'Dushlaine; Sumit Mukherjee (CoRR, 2024)

RLGC: Reconstruction Learning Fusing Gradient and Content Features for Efficient Deepfake Detection. - Kaiwen Xu; Xiyuan Hu; Xiaokang Zhou; Xiaolong Xu 001; Lianyong Qi; Chen Chen 036 (IEEE Trans. Consumer Electron., 2024)

A secure image evidence management framework using multi-bits watermark and blockchain in IoT environments. - Qing Yao; Kaiwen Xu; Taotao Li; Yichao Zhou; Mingsheng Wang (Wirel. Networks, 2024)

Path Planning of UAV Using Levy Pelican Optimization Algorithm In Mountain Environment. - Guiliang Zhou; Shuaiqi Lü; Lina Mao; Kaiwen Xu; Tianwen Bao; Xu Bao (Appl. Artif. Intell., 2024)

Synthesizing Proton-Density Fat Fraction and $R_2^{ ast}$ from 2-Point Dixon MRI with Generative Machine Learning. - Suma Anand; Kaiwen Xu; Colm O'Dushlaine; Sumit Mukherjee (ISBI, 2025)

A spatio-frequency cross fusion model for deepfake detection and segmentation. - Junshuai Zheng; Yichao Zhou; Ning Zhang 033; Xiyuan Hu; Kaiwen Xu; Dongyang Gao; Zhenmin Tang (Neurocomputing, 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)

Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices. - Lianrui Zuo; Xin Yu 010; Dingjie Su; Kaiwen Xu; Aravind R. Krishnan; Yihao Liu; Shunxing Bao; Fabien Maldonado; Luigi Ferrucci; Bennett A. Landman (CoRR, 2025)

Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential. - Chenyu Gao; Kaiwen Xu; Michael E. Kim; Lianrui Zuo; Zhiyuan Li 012; Derek B. Archer; Timothy J. Hohman; Ann Zenobia Moore; Luigi Ferrucci; Lori L. Beason-Held; Susan M. Resnick; Christos Davatzikos; et al. (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)