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2020 – today
- 2025
[j5]Hengjie Liu
, Elizabeth McKenzie, Di Xu, Qifan Xu, Robert K. Chin, Dan Ruan, Ke Sheng:
MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration. Medical Image Anal. 99: 103351 (2025)- 2024
- [j4]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, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy:
Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge. IEEE Trans. Medical Imaging 43(8): 2839-2853 (2024) - [i7]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, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy:
Nodule detection and generation on chest X-rays: NODE21 Challenge. CoRR abs/2401.02192 (2024) - [i6]Di Xu, Xin Miao, Hengjie Liu, Jessica E. Scholey, Wensha Yang, Mary Feng, Michael Ohliger, Hui Lin, Yi Lao, Yang Yang, Ke Sheng:
Paired Conditional Generative Adversarial Network for Highly Accelerated Liver 4D MRI. CoRR abs/2405.12357 (2024) - 2023
- [c13]Di Xu, Hengjie Liu, Dan Ruan, Ke Sheng:
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 3-13 - [i5]Di Xu, Qifan Xu, Kevin Nhieu, Dan Ruan, Ke Sheng:
An Efficient and Robust Method for Chest X-Ray Rib Suppression that Improves Pulmonary Abnormality Diagnosis. CoRR abs/2302.09696 (2023) - [i4]Di Xu, Hengjie Liu, Dan Ruan, Ke Sheng:
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer. CoRR abs/2309.10227 (2023) - 2022
- [c12]Qifan Xu, Qihui Lyu, Dan Ruan, Ke Sheng:
To What Extent Can Plug-and-Play Methods Outperform Neural Networks Alone In Low-Dose CT Reconstruction. ISBI 2022: 1-5 - [i3]Qifan Xu, Qihui Lyu, Dan Ruan, Ke Sheng:
To what extent can Plug-and-Play methods outperform neural networks alone in low-dose CT reconstruction. CoRR abs/2202.07173 (2022) - 2020
- [j3]Yangkang Jiang, Xiaoqun Zhang, Ke Sheng, Tianye Niu, Yi Xue, Qihui Lyu, Lei Xu, Chen Luo, Pengfei Yang, Chunlin Yang, Jing Wang, Xi Hu:
Noise Suppression in Image-Domain Multi-Material Decomposition for Dual-Energy CT. IEEE Trans. Biomed. Eng. 67(2): 523-535 (2020) - [c11]Shuanqi Wang, Zhibo Li, Xin He, Ke Sheng, Jingxuan Zhou, Wei Wu:
Safety Argument Pattern Language of Safety-Critical Software. DSA 2020: 459-467 - [c10]Yi Lao, Victoria Yu, Eric Chang, Wensha Yang, Ke Sheng:
Deformable alignment of longitudinal postoperative brain GBM scans using deep learning. Medical Imaging: Image Processing 2020: 113130O
2010 – 2019
- 2019
- [j2]Ningning Zhao, Daniel O'Connor, Adrian Basarab, Dan Ruan, Ke Sheng:
Motion Compensated Dynamic MRI Reconstruction With Local Affine Optical Flow Estimation. IEEE Trans. Biomed. Eng. 66(11): 3050-3059 (2019) - [j1]Yi Xue, Xiaonan Sun, Xiuhua Hu, Ke Sheng, Tianye Niu, Yangkang Jiang, Chunlin Yang, Qihui Lyu, Jing Wang, Chen Luo, Luhan Zhang, Catherine Desrosiers, Kun Feng:
Accurate Multi-Material Decomposition in Dual-Energy CT: A Phantom Study. IEEE Trans. Computational Imaging 5(4): 515-529 (2019) - [c9]Ryan Neph, Yangsibo Huang, Youming Yang, Ke Sheng:
DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy. AIRT@MICCAI 2019: 137-145 - [c8]Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng:
Fully Automated Pancreas Segmentation with Two-Stage 3D Convolutional Neural Networks. MICCAI (2) 2019: 201-209 - [c7]Qihui Lyu, Daniel O'Connor, Tianye Niu, Ke Sheng:
Image-domain multi-material decomposition for dual-energy CT with non-convex sparsity regularization. Medical Imaging: Image Processing 2019: 1094903 - [c6]Qihui Lyu, Dan Ruan, John M. Hoffman, Ryan Neph, Michael F. McNitt-Gray, Ke Sheng:
Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework. Medical Imaging: Image Processing 2019: 1094906 - [i2]Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng:
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks. CoRR abs/1906.01795 (2019) - 2018
- [c5]Ningning Zhao, Daniel O'Connor, Wenbo Gu, Dan Ruan, Adrian Basarab, Ke Sheng:
Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint. Medical Imaging: Image Processing 2018: 1057429 - 2017
- [i1]Ningning Zhao, Daniel O'Connor, Dan Ruan, Adrian Basarab, Peng Hu, Ke Sheng:
Joint Dynamic MRI Reconstruction and Aggregated Motion Estimation with Optical Flow Constraint. CoRR abs/1707.07089 (2017) - 2016
- [c4]John Neylon, Katelyn Hasse, Ke Sheng, Anand P. Santhanam:
Modeling and simulation of tumor-influenced high resolution real-time physics-based breast models for model-guided robotic interventions. Medical Imaging: Image-Guided Procedures 2016: 97860X - 2013
- [c3]Anand P. Santhanam, Tai Dou, John Neylon, Yugang Min, Alexandre Kupelian, Ke Sheng, Daniel Ennis, Jannick P. Rolland, Daniel Low, Patrick Kupelian:
Multi-Scale, Multi-Modal Image Integration for Image-Guided Clinical Interventions in the Head and Neck Anatomy. MMVR 2013: 380-386 - 2011
- [c2]Kai Ding, Wilson Miller, Kunlin Cao, Gary E. Christensen, Joseph M. Reinhardt, Stanley Benedict, Bruce Libby, Ke Sheng:
Quantification of regional lung ventilation from tagged hyperpolarized helium-3 MRI. ISBI 2011: 1074-1077
2000 – 2009
- 2004
- [c1]Aleksandra Tesanovic, Ke Sheng, Jörgen Hansson:
Application-Tailored Database Systems: A Case of Aspects in an Embedded Database. IDEAS 2004: 291-301
Coauthor Index
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