Chi Liu
Orcid: 0000-0002-7007-1037Affiliations:
- Yale University, Department of Biomedical Engineering, New Haven, CT, USA
- Yale University, Department of Radiology and Biomedical Imaging, New Haven, CT, USA
- Johns Hopkins University, Baltimore, MD, USA (PhD 2008)
According to our database1,
Chi Liu
authored at least 46 papers
between 2007 and 2025.
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Bibliography
2025
POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation.
IEEE Trans. Medical Imaging, April, 2025
Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising.
CoRR, March, 2025
Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision.
Medical Image Anal., 2025
A generalizable diffusion framework for 3D low-dose and few-view cardiac SPECT imaging.
Medical Image Anal., 2025
2024
DuDoCFNet: Dual-Domain Coarse-to-Fine Progressive Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT.
IEEE Trans. Medical Imaging, September, 2024
Medical Image Anal., 2024
Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification.
Medical Image Anal., 2024
TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction.
Medical Image Anal., 2024
2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction.
CoRR, 2024
POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation.
CoRR, 2024
Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT.
CoRR, 2024
PDM: A Plug-and-Play Perturbed Multi-path Diffusion Module for Simultaneous Medical Image Segmentation Improvement and Uncertainty Estimation.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
2023
MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction.
IEEE Trans. Medical Imaging, December, 2023
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising.
Medical Image Anal., December, 2023
DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT.
Medical Image Anal., August, 2023
Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network.
IEEE Trans. Medical Imaging, May, 2023
Joint Denoising and Few-angle Reconstruction for Low-dose Cardiac SPECT Using a Dual-domain Iterative Network with Adaptive Data Consistency.
CoRR, 2023
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT.
CoRR, 2023
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising.
CoRR, 2023
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Cross-Domain Iterative Network for Simultaneous Denoising, Limited-Angle Reconstruction, and Attenuation Correction of Cardiac SPECT.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT Image Reconstructions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023
Dual-Domain Iterative Network with Adaptive Data Consistency for Joint Denoising and Few-Angle Reconstruction of Low-Dose Cardiac SPECT.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT.
Proceedings of the Information Processing in Medical Imaging, 2023
Fast-MC-PET: A Novel Deep Learning-Aided Motion Correction and Reconstruction Framework for Accelerated PET.
Proceedings of the Information Processing in Medical Imaging, 2023
2022
DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2022
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction.
Medical Image Anal., 2022
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography.
Medical Image Anal., 2022
Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network.
Medical Image Anal., 2022
MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer.
IEEE Trans. Medical Imaging, 2021
MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET.
IEEE Trans. Medical Imaging, 2021
Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning.
IEEE Trans. Medical Imaging, 2021
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration.
Medical Image Anal., 2021
Synthesizing Multi-tracer PET Images for Alzheimer's Disease Patients Using a 3D Unified Anatomy-Aware Cyclic Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
2020
IEEE Trans. Medical Imaging, 2020
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency.
CoRR, 2020
Deep Efficient End-to-End Reconstruction (DEER) Network for Few-View Breast CT Image Reconstruction.
IEEE Access, 2020
Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PET.
IEEE Trans. Medical Imaging, 2018
2007
Quantitative Rotating Multisegment Slant-Hole SPECT Mammography With Attenuation and Collimator-Detector Response Compensation.
IEEE Trans. Medical Imaging, 2007