Nonrigid registration using regularization that accomodates local tissue rigidity. - Dan Ruan; Jeffrey A. Fessler; Michael Roberson; James M. Balter; Marc L. Kessler (Image Processing, 2006)

Discriminative Sliding Preserving Regularization in Medical Image Registration. - Dan Ruan; Selim Esedoglu; Jeffrey A. Fessler (ISBI, 2009)

Real-time motion estimation with MRI. - Wenyang Liu; Dan Ruan (ISBI, 2013)

Coupled basis learning and regularized reconstruction for BCG artifact removal in simultaneous EEG-FMRI studies. - Hongjing Xia; Dan Ruan; Mark S. Cohen (ISBI, 2013)

BCG Artifact Removal for Reconstructing Full-Scalp EEG Inside the MR Scanner. - Hongjing Xia; Dan Ruan; Mark S. Cohen (PRNI, 2013)

Segmentation with a shape dictionary. - Wenyang Liu; Dan Ruan (ISBI, 2014)

Free-breathing perfusion MRI using multislice pCASL. - Hao Song 004; Wenyang Liu; Dan Ruan; Rolf Pohmann; V. Andrew Stenger; María A. Fernández-Seara; Sungkyu Jung; H. Michael Gach (ISBI, 2015)

Two-stage fusion set selection in multi-atlas-based image segmentation. - Tingting Zhao; Dan Ruan (ISBI, 2015)

Synergistic Combination of Learned and Hand-Crafted Features for Prostate Lesion Classification in Multiparametric Magnetic Resonance Imaging. - Davood Karimi; Dan Ruan (MICCAI (3), 2017)

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)

Terahertz Imaging of Cutaneous Edema: Correlation With Magnetic Resonance Imaging in Burn Wounds. - Neha Bajwa; Shijun Sung; Daniel B. Ennis; Michael C. Fishbein; Bryan N. Nowroozi; Dan Ruan; Ashkan Maccabi; Jeffry R. Alger; Maie St. John; Warren S. Grundfest; Zachary D. Taylor (IEEE Trans. Biomed. Eng., 2017)

Improving EEG Source Localization with a Novel Regularization: Spatiotemporal Graph Total Variation (STGTV) Method. - Hanyue Zhou; Yushan Wang; Ying Li 009; Dan Ruan; Wentai Liu (EMBC, 2018)

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 (Image Processing, 2018)

Online Target Volume Estimation and Prediction from an Interlaced Slice Acquisition - A Manifold Embedding and Learning Approach. - John Ginn; James Lamb; Dan Ruan (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)

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 (Image Processing, 2019)

Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks. - Yuhua Chen; Dan Ruan; Jiayu Xiao; Lixia Wang; Bin Sun; Rola Saouaf; Wensha Yang; Debiao Li; Zhaoyang Fan (CoRR, 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)

Deformable Image Registration with a Scale-adaptive Convolutional Neural Network. - Yudi Sang; Dan Ruan (BIBE, 2020)

An Embedding-based Medical Note De-identification Approach with Minimal Annotation. - Hanyue Zhou; Dan Ruan (BIBE, 2020)

Adaptive Locally Low Rank and Sparsity Constrained Reconstruction for Accelerated Dynamic MRI. - Sevgi Gokce Kafali; Shu-Fu Shih; Dan Ruan; Holden H. Wu (ISBI, 2020)

Enhanced Image Registration With a Network Paradigm and Incorporation of a Deformation Representation Model. - Yudi Sang; Dan Ruan (ISBI, 2020)

Imposing implicit feasibility constraints on deformable image registration using a statistical generative model. - Yudi Sang; Xianglei Xing; Ying Nian Wu; Dan Ruan (Image Processing, 2020)

Enhancing 4d Cardiac Mri Registration Network With A Motion Prior Learned From Coronary Cta. - Yudi Sang; Minsong Cao; Michael F. McNitt-Gray; Yu Gao; Peng Hu; Ran Yan; Yingli Yang; Dan Ruan (ISBI, 2021)

Intracranial Vessel Wall Segmentation For Atherosclerotic Plaque Quantification. - Hanyue Zhou; Jiayu Xiao; Zhaoyang Fan; Dan Ruan (ISBI, 2021)

4D-CBCT Registration with a FBCT-derived Plug-and-Play Feasibility Regularizer. - Yudi Sang; Dan Ruan (MICCAI (4), 2021)

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)

Ensemble Learning and Tensor Regularization for Cone-Beam Computed Tomography-Based Pelvic Organ Segmentation. - Hanyue Zhou; Minsong Cao; Yugang Min; Stephanie Yoon; Amar Kishan; Dan Ruan (ISBI, 2022)

Intracranial Vessel Wall Segmentation with Deep Learning Using a Novel Tiered Loss Function to Incorporate Class Inclusion. - Hanyue Zhou; Jiayu Xiao; Debiao Li; Zhaoyang Fan; Dan Ruan (ISBI, 2022)

Inter-Phase 4D Cardiac MRI Registration With a Motion Prior Derived From CTA. - Yudi Sang; Minsong Cao; Michael F. McNitt-Gray; Yu Gao; Peng Hu; Ran Yan; Yingli Yang; Dan Ruan (IEEE Trans. Biomed. Eng., 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)

A Two-Step Framework for Multi-Material Decomposition of Dual Energy Computed Tomography from Projection Domain. - Di Xu; Qihui Lyu; Dan Ruan; Ke Sheng (EMBC, 2024)

Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI. - Yirong Zhou; Chengyan Wang; Mengtian Lu; Kunyuan Guo; Zi Wang 005; Dan Ruan; Rui Guo; Peijun Zhao; Jianhua Wang; Naiming Wu; Jianzhong Lin; Yinyin Chen; et al. (CoRR, 2024)

TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography. - Di Xu; Yang Yang; Hengjie Liu; Qihui Lyu; Martina Descovich; Dan Ruan; Ke Sheng (CoRR, 2024)

Complementarity-Oriented Feature Fusion for Face-Phone Trajectory Matching. - Changfeng Cao; Wenchuan Zhang; Hua Yang; Dan Ruan (IEEE Access, 2025)

Paired phase and magnitude reconstruction neural network for multi-shot diffusion magnetic resonance imaging. - Qiaoling Lin; Xuanchu Chen; Boxuan Shi; Chen Qian; Mingyang Han; Liuhong Zhu; Dafa Shi; Xiaoyong Shen; Wanjun Hu; Dan Ruan; Yi Guo; Jianjun Zhou; et al. (Medical Image Anal., 2025)

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)

Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations. - Di Xu; Hengjie Liu; Xin Miao; Daniel O'Connor; Jessica E. Scholey; Wensha Yang; Mary Feng; Michael Ohliger; Hui Lin; Dan Ruan; Yang Yang; Ke Sheng (CoRR, 2025)

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge. - Yudi Sang; Yanzhen Liu; Sutuke Yibulayimu; Yunning Wang; Benjamin D. Killeen; Mingxu Liu; Ping-Cheng Ku; Ole Johannsen; Karol Gotkowski; Maximilian Zenk; Klaus H. Maier-Hein; Fabian Isensee; et al. (CoRR, 2025)

Beyond the LUMIR challenge: The pathway to foundational registration models. - Junyu Chen 002; Shuwen Wei; Joel Honkamaa; Pekka Marttinen; Hang Zhang; Min Liu; Yichao Zhou; Zuopeng Tan; Zhuoyuan Wang; Yi Wang; Hongchao Zhou; Shunbo Hu; et al. (CoRR, 2025)