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Dan Ruan
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2020 – today
- 2025
- [j4]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
- [i7]Yirong Zhou, Chengyan Wang, Mengtian Lu, Kunyuan Guo, Zi Wang, Dan Ruan, Rui Guo, Peijun Zhao, Jianhua Wang, Naiming Wu, Jianzhong Lin, Yinyin Chen, Hang Jin, Lianxin Xie, Lilan Wu, Liuhong Zhu, Jianjun Zhou, Congbo Cai, He Wang, Xiaobo Qu:
Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI. CoRR abs/2405.10570 (2024) - 2023
- [c26]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 - [i6]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) - [i5]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
- [j3]Yudi Sang, Minsong Cao, Michael F. McNitt-Gray, Yu Gao, Peng Hu, Ran Yan, Yingli Yang, Dan Ruan:
Inter-Phase 4D Cardiac MRI Registration With a Motion Prior Derived From CTA. IEEE Trans. Biomed. Eng. 69(6): 1828-1836 (2022) - [c25]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 - [c24]Hanyue Zhou, Minsong Cao, Yugang Min, Stephanie Yoon, Amar Kishan, Dan Ruan:
Ensemble Learning and Tensor Regularization for Cone-Beam Computed Tomography-Based Pelvic Organ Segmentation. ISBI 2022: 1-4 - [c23]Hanyue Zhou, Jiayu Xiao, Debiao Li, Zhaoyang Fan, Dan Ruan:
Intracranial Vessel Wall Segmentation with Deep Learning Using a Novel Tiered Loss Function to Incorporate Class Inclusion. ISBI 2022: 1-4 - [i4]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) - 2021
- [c22]Yudi Sang, Minsong Cao, Michael F. McNitt-Gray, Yu Gao, Peng Hu, Ran Yan, Yingli Yang, Dan Ruan:
Enhancing 4d Cardiac Mri Registration Network With A Motion Prior Learned From Coronary Cta. ISBI 2021: 917-920 - [c21]Hanyue Zhou, Jiayu Xiao, Zhaoyang Fan, Dan Ruan:
Intracranial Vessel Wall Segmentation For Atherosclerotic Plaque Quantification. ISBI 2021: 1416-1419 - [c20]Yudi Sang, Dan Ruan:
4D-CBCT Registration with a FBCT-derived Plug-and-Play Feasibility Regularizer. MICCAI (4) 2021: 108-117 - 2020
- [c19]Hanyue Zhou, Dan Ruan:
An Embedding-based Medical Note De-identification Approach with Minimal Annotation. BIBE 2020: 263-268 - [c18]Yudi Sang, Dan Ruan:
Deformable Image Registration with a Scale-adaptive Convolutional Neural Network. BIBE 2020: 556-562 - [c17]Yudi Sang, Dan Ruan:
Enhanced Image Registration With a Network Paradigm and Incorporation of a Deformation Representation Model. ISBI 2020: 91-94 - [c16]Sevgi Gokce Kafali, Shu-Fu Shih, Dan Ruan, Holden H. Wu:
Adaptive Locally Low Rank and Sparsity Constrained Reconstruction for Accelerated Dynamic MRI. ISBI 2020: 930-934 - [c15]Yudi Sang, Xianglei Xing, Ying Nian Wu, Dan Ruan:
Imposing implicit feasibility constraints on deformable image registration using a statistical generative model. Image Processing 2020: 113132V
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) - [c14]John Ginn, James Lamb, Dan Ruan:
Online Target Volume Estimation and Prediction from an Interlaced Slice Acquisition - A Manifold Embedding and Learning Approach. AIRT@MICCAI 2019: 78-85 - [c13]Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng:
Fully Automated Pancreas Segmentation with Two-Stage 3D Convolutional Neural Networks. MICCAI (2) 2019: 201-209 - [c12]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. Image Processing 2019: 1094906 - [i3]Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng:
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks. CoRR abs/1906.01795 (2019) - [i2]Yuhua Chen, Dan Ruan, Jiayu Xiao, Lixia Wang, Bin Sun, Rola Saouaf, Wensha Yang, Debiao Li, Zhaoyang Fan:
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks. CoRR abs/1912.11000 (2019) - 2018
- [c11]Hanyue Zhou, Yushan Wang, Ying Li, Dan Ruan, Wentai Liu:
Improving EEG Source Localization with a Novel Regularization: Spatiotemporal Graph Total Variation (STGTV) Method. EMBC 2018: 4673-4676 - [c10]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. Image Processing 2018: 1057429 - 2017
- [j1]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:
Terahertz Imaging of Cutaneous Edema: Correlation With Magnetic Resonance Imaging in Burn Wounds. IEEE Trans. Biomed. Eng. 64(11): 2682-2694 (2017) - [c9]Davood Karimi, Dan Ruan:
Synergistic Combination of Learned and Hand-Crafted Features for Prostate Lesion Classification in Multiparametric Magnetic Resonance Imaging. MICCAI (3) 2017: 391-398 - [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) - 2015
- [c8]Tingting Zhao, Dan Ruan:
Two-stage fusion set selection in multi-atlas-based image segmentation. ISBI 2015: 613-616 - [c7]Hao Song, Wenyang Liu, Dan Ruan, Rolf Pohmann, V. Andrew Stenger, María A. Fernández-Seara, Sungkyu Jung, H. Michael Gach:
Free-breathing perfusion MRI using multislice pCASL. ISBI 2015: 1474-1477 - 2014
- [c6]Wenyang Liu, Dan Ruan:
Segmentation with a shape dictionary. ISBI 2014: 357-360 - 2013
- [c5]Wenyang Liu, Dan Ruan:
Real-time motion estimation with MRI. ISBI 2013: 808-811 - [c4]Hongjing Xia, Dan Ruan, Mark S. Cohen:
Coupled basis learning and regularized reconstruction for BCG artifact removal in simultaneous EEG-FMRI studies. ISBI 2013: 986-989 - [c3]Hongjing Xia, Dan Ruan, Mark S. Cohen:
BCG Artifact Removal for Reconstructing Full-Scalp EEG Inside the MR Scanner. PRNI 2013: 178-181
2000 – 2009
- 2009
- [c2]Dan Ruan, Selim Esedoglu, Jeffrey A. Fessler:
Discriminative Sliding Preserving Regularization in Medical Image Registration. ISBI 2009: 430-433 - 2006
- [c1]Dan Ruan, Jeffrey A. Fessler, Michael Roberson, James M. Balter, Marc L. Kessler:
Nonrigid registration using regularization that accomodates local tissue rigidity. Image Processing 2006: 614412
Coauthor Index
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last updated on 2024-11-28 20:30 CET by the dblp team
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