Application-Tailored Database Systems: A Case of Aspects in an Embedded Database. - Aleksandra Tesanovic; Ke Sheng; Jörgen Hansson (IDEAS, 2004)

Quantification of regional lung ventilation from tagged hyperpolarized helium-3 MRI. - Kai Ding 003; Wilson Miller; Kunlin Cao; Gary E. Christensen; Joseph M. Reinhardt; Stanley Benedict; Bruce Libby; Ke Sheng (ISBI, 2011)

Multi-Scale, Multi-Modal Image Integration for Image-Guided Clinical Interventions in the Head and Neck Anatomy. - Anand P. Santhanam; Tai Dou; John Neylon; Yugang Min; Alexandre Kupelian; Ke Sheng; Daniel Ennis 001; Jannick P. Rolland; Daniel Low; Patrick Kupelian (MMVR, 2013)

Modeling and simulation of tumor-influenced high resolution real-time physics-based breast models for model-guided robotic interventions. - John Neylon; Katelyn Hasse; Ke Sheng; Anand P. Santhanam (Medical Imaging: Image-Guided Procedures, 2016)

Joint Dynamic MRI Reconstruction and Aggregated Motion Estimation with Optical Flow Constraint. - Ningning Zhao; Daniel O'Connor; Dan Ruan; Adrian Basarab; Peng Hu; Ke Sheng (CoRR, 2017)

Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint. - Ningning Zhao; Daniel O'Connor; Wenbo Gu; Dan Ruan; Adrian Basarab; Ke Sheng (Medical Imaging: Image Processing, 2018)

DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy. - Ryan Neph; Yangsibo Huang; Youming Yang 001; Ke Sheng (AIRT@MICCAI, 2019)

Fully Automated Pancreas Segmentation with Two-Stage 3D Convolutional Neural Networks. - Ningning Zhao; Nuo Tong; Dan Ruan; Ke Sheng (MICCAI (2), 2019)

Image-domain multi-material decomposition for dual-energy CT with non-convex sparsity regularization. - Qihui Lyu; Daniel O'Connor; Tianye Niu; Ke Sheng (Medical Imaging: Image Processing, 2019)

Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework. - Qihui Lyu; Dan Ruan; John M. Hoffman; Ryan Neph; Michael F. McNitt-Gray; Ke Sheng (Medical Imaging: Image Processing, 2019)

Motion Compensated Dynamic MRI Reconstruction With Local Affine Optical Flow Estimation. - Ningning Zhao; Daniel O'Connor; Adrian Basarab; Dan Ruan; Ke Sheng (IEEE Trans. Biomed. Eng., 2019)

Accurate Multi-Material Decomposition in Dual-Energy CT: A Phantom Study. - Yi Xue; Xiaonan Sun; Xiuhua Hu; Ke Sheng; Tianye Niu; Yangkang Jiang; Chunlin Yang; Qihui Lyu; Jing Wang; Chen Luo; Luhan Zhang; Catherine Desrosiers; et al. (IEEE Trans. Computational Imaging, 2019)

Safety Argument Pattern Language of Safety-Critical Software. - Shuanqi Wang; Zhibo Li; Xin He; Ke Sheng; Jingxuan Zhou; Wei Wu (DSA, 2020)

Deformable alignment of longitudinal postoperative brain GBM scans using deep learning. - Yi Lao; Victoria Yu; Eric Chang; Wensha Yang; Ke Sheng (Medical Imaging: Image Processing, 2020)

Noise Suppression in Image-Domain Multi-Material Decomposition for Dual-Energy CT. - Yangkang Jiang; Xiaoqun Zhang; Ke Sheng; Tianye Niu; Yi Xue; Qihui Lyu; Lei Xu; Chen Luo; Pengfei Yang; Chunlin Yang; Jing Wang; Xi Hu (IEEE Trans. Biomed. Eng., 2020)

To What Extent Can Plug-and-Play Methods Outperform Neural Networks Alone In Low-Dose CT Reconstruction. - Qifan Xu; Qihui Lyu; Dan Ruan; Ke Sheng (ISBI, 2022)

Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer. - Di Xu; Hengjie Liu; Dan Ruan; Ke Sheng (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

An Efficient and Robust Method for Chest X-Ray Rib Suppression that Improves Pulmonary Abnormality Diagnosis. - Di Xu; Qifan Xu; Kevin Nhieu; Dan Ruan; Ke Sheng (CoRR, 2023)

Paired Conditional Generative Adversarial Network for Highly Accelerated Liver 4D MRI. - Di Xu; Xin Miao; Hengjie Liu; Jessica E. Scholey; Wensha Yang; Mary Feng; Michael Ohliger; Hui Lin; Yi Lao; Yang Yang; Ke Sheng (CoRR, 2024)

Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge. - Ecem Sogancioglu; Bram van Ginneken; Finn Behrendt; Marcel Bengs; Alexander Schlaefer; Miron Radu; Di Xu; Ke Sheng; Fabien Scalzo; Eric Marcus; Samuele Papa; Jonas Teuwen; et al. (IEEE Trans. Medical Imaging, 2024)

MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration. - Hengjie Liu; Elizabeth McKenzie; Di Xu; Qifan Xu; Robert K. Chin; Dan Ruan; Ke Sheng (Medical Image Anal., 2025)