Dan Ruan

Orcid: 0000-0003-3400-7684

According to our database1, Dan Ruan authored at least 34 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration.
Medical Image Anal., 2025

2024
Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI.
CoRR, 2024

2023
An Efficient and Robust Method for Chest X-Ray Rib Suppression that Improves Pulmonary Abnormality Diagnosis.
CoRR, 2023

Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022
Inter-Phase 4D Cardiac MRI Registration With a Motion Prior Derived From CTA.
IEEE Trans. Biomed. Eng., 2022

Intracranial Vessel Wall Segmentation with Deep Learning Using a Novel Tiered Loss Function to Incorporate Class Inclusion.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Ensemble Learning and Tensor Regularization for Cone-Beam Computed Tomography-Based Pelvic Organ Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

To What Extent Can Plug-and-Play Methods Outperform Neural Networks Alone In Low-Dose CT Reconstruction.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
4D-CBCT Registration with a FBCT-derived Plug-and-Play Feasibility Regularizer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Intracranial Vessel Wall Segmentation For Atherosclerotic Plaque Quantification.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Enhancing 4d Cardiac Mri Registration Network With A Motion Prior Learned From Coronary Cta.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Imposing implicit feasibility constraints on deformable image registration using a statistical generative model.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Enhanced Image Registration With a Network Paradigm and Incorporation of a Deformation Representation Model.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Adaptive Locally Low Rank and Sparsity Constrained Reconstruction for Accelerated Dynamic MRI.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

An Embedding-based Medical Note De-identification Approach with Minimal Annotation.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Deformable Image Registration with a Scale-adaptive Convolutional Neural Network.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Motion Compensated Dynamic MRI Reconstruction With Local Affine Optical Flow Estimation.
IEEE Trans. Biomed. Eng., 2019

Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks.
CoRR, 2019

Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Fully Automated Pancreas Segmentation with Two-Stage 3D Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Online Target Volume Estimation and Prediction from an Interlaced Slice Acquisition - A Manifold Embedding and Learning Approach.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

2018
Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Improving EEG Source Localization with a Novel Regularization: Spatiotemporal Graph Total Variation (STGTV) Method.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Terahertz Imaging of Cutaneous Edema: Correlation With Magnetic Resonance Imaging in Burn Wounds.
IEEE Trans. Biomed. Eng., 2017

Joint Dynamic MRI Reconstruction and Aggregated Motion Estimation with Optical Flow Constraint.
CoRR, 2017

Synergistic Combination of Learned and Hand-Crafted Features for Prostate Lesion Classification in Multiparametric Magnetic Resonance Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2015
Two-stage fusion set selection in multi-atlas-based image segmentation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Free-breathing perfusion MRI using multislice pCASL.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Segmentation with a shape dictionary.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
BCG Artifact Removal for Reconstructing Full-Scalp EEG Inside the MR Scanner.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Coupled basis learning and regularized reconstruction for BCG artifact removal in simultaneous EEG-FMRI studies.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Real-time motion estimation with MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2009
Discriminative Sliding Preserving Regularization in Medical Image Registration.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2006
Nonrigid registration using regularization that accomodates local tissue rigidity.
Proceedings of the Medical Imaging 2006: Image Processing, 2006


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