Kuangyu Shi

Orcid: 0000-0002-8714-3084

According to our database1, Kuangyu Shi authored at least 37 papers between 2005 and 2023.

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

Timeline

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PhD thesis 
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Bibliography

2023
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising.
Medical Image Anal., December, 2023

Partial Unbalanced Feature Transport for Cross-Modality Cardiac Image Segmentation.
IEEE Trans. Medical Imaging, June, 2023

AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images.
Medical Image Anal., May, 2023

FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising.
CoRR, 2023

Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

Deep Learning Approaches for Contrast Removal from Contrast-enhanced CT - Streamlining Personalized Internal Dosimetry.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Enhancing Medical Image Segmentation with Anatomy-aware Label Dependency.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
Non-Invasive Glucose Metabolism Quantification Method Based on Unilateral ICA Image Derived Input Function by Hybrid PET/MR in Ischemic Cerebrovascular Disease.
IEEE J. Biomed. Health Informatics, 2022

Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models.
CoRR, 2022

Concept Development of an On-Chip PET System.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Development of a deep learning method for CT-free correction for an ultra-long axial field of view PET scanner.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

In silico study on radiobiological efficacy of Ac-225 and Lu-177 for PSMA-guided radiotherapy.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images.
IEEE J. Biomed. Health Informatics, 2020

2019
Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on <sup>18</sup>F-FDG PET Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis.
CoRR, 2018

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks.
CoRR, 2018

Learning Optimal Deep Projection of <sup>18</sup>F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

2017
Data-driven identification of intensity normalization region based on longitudinal coherency of <sup>18</sup>F-FDG metabolism in the healthy brain.
NeuroImage, 2017

Editorial for the special issue of "Computational methods for molecular imaging" for computerized medical imaging and graphics.
Comput. Medical Imaging Graph., 2017

Individual refinement of attenuation correction maps for hybrid PET/MR based on multi-resolution regional learning.
Comput. Medical Imaging Graph., 2017

W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of Parkinsonism.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2015
Direct Parametric Image Reconstruction in Reduced Parameter Space for Rapid Multi-Tracer PET Imaging.
IEEE Trans. Medical Imaging, 2015

2013
Direct Parametric Image Reconstruction of Rapid Multi-tracer PET.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2011
Sparse Dose Painting Based on a Dual-Pass Kinetic-Oxygen Mapping of Dynamic PET Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2009
Path Line Attributes - an Information Visualization Approach to Analyzing the Dynamic Behavior of 3D Time-Dependent Flow Fields.
Proceedings of the Topology-Based Methods in Visualization II, 2009

2008
Path-line oriented visualization of dynamical flow fields.
PhD thesis, 2008

Visualizing Transport Structures of Time-Dependent Flow Fields.
IEEE Computer Graphics and Applications, 2008

Finite-Time Transport Structures of Flow Fields.
Proceedings of the IEEE VGTC Pacific Visualization Symposium 2008, 2008

2007
Extracting Separation Surfaces of Path Line Oriented Topology in Periodic 2D Time-Dependent Vector Fields.
J. WSCG, 2007

2006
Path Line Oriented Topology for Periodic 2D Time-Dependent Vector Fields.
Proceedings of the 8th Joint Eurographics - IEEE VGTC Symposium on Visualization, 2006

2005
Extracting Higher Order Critical Points and Topological Simplification of 3D Vector Fields.
Proceedings of the 16th IEEE Visualization Conference, 2005


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