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Kuangyu Shi
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2020 – today
- 2025
- [j14]Jiahao Huang
, Liutao Yang
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. Medical Image Anal. 99: 103334 (2025) - 2024
- [j13]Yu Fu
MPGAN: Multi Pareto Generative Adversarial Network for the denoising and quantitative analysis of low-dose PET images of human brain. Medical Image Anal. 98: 103306 (2024) - [j12]Jiehui Jiang
Detection of individual brain tau deposition in Alzheimer's disease based on latent feature-enhanced generative adversarial network. NeuroImage 291: 120593 (2024) - [c21]Boxiao Yu, Savas Ozdemir, Yafei Dong, Wei Shao, Kuangyu Shi, Kuang Gong:
PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets. MICCAI (7) 2024: 541-550 - [i7]Jiahao Huang, Liutao Yang, Fanwen Wang, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. CoRR abs/2405.17659 (2024) - 2023
- [j11]Yu Fu
AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images. Medical Image Anal. 86: 102787 (2023) - [j10]Bo Zhou
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising. Medical Image Anal. 90: 102993 (2023) - [j9]Shunjie Dong
Partial Unbalanced Feature Transport for Cross-Modality Cardiac Image Segmentation. IEEE Trans. Medical Imaging 42(6): 1758-1773 (2023) - [c20]Francesca De Benetti, Robin Frasch, Luis F. Rodriguez Venegas, Kuangyu Shi, Nassir Navab, Thomas Wendler:
Enhancing Medical Image Segmentation with Anatomy-aware Label Dependency. Bildverarbeitung für die Medizin 2023: 38-44 - [c19]Marcel Ganß, Francesca De Benetti, Julia Brosch-Lenz, Carlos Uribe, Kuangyu Shi
Deep Learning Approaches for Contrast Removal from Contrast-enhanced CT - Streamlining Personalized Internal Dosimetry. Bildverarbeitung für die Medizin 2023: 70-75 - [c18]Lara Cavinato, Jimin Hong, Stefan Reinhard, Martin Wartenberg, Paolo Zunino
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma. CIBCB 2023: 1-9 - [c17]Francesca De Benetti, Walter Simson, Magdalini Paschali
Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. MICCAI (1) 2023: 290-299 - [i6]Bo Zhou, Huidong Xie
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising. CoRR abs/2304.00570 (2023) - [i5]Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler:
Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. CoRR abs/2305.10569 (2023) - 2022
- [j8]Min Wang
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 26(10): 5122-5129 (2022) - [c16]Christoph Clement, Gabriele Birindelli
Concept Development of an On-Chip PET System. EMBC 2022: 2236-2239 - [i4]Matteo Ferrante, Lisa Rinaldi, Francesca Botta, Xiaobin Hu, Andreas Dolp, Marta Minotti, Francesca De Piano, Gianluigi Funicelli, Stefania Volpe, Federica Bellerba, Paolo De Marco, Sara Raimondi, Stefania Rizzo, Kuangyu Shi
Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models. CoRR abs/2209.12027 (2022) - 2021
- [c15]Christoph Clement
Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector. EMBC 2021: 3366-3369 - [c14]Song Xue, Karl Peter Bohn, Rui Guo, Hasan Sari, Marco Viscione, Axel Rominger
Development of a deep learning method for CT-free correction for an ultra-long axial field of view PET scanner. EMBC 2021: 4120-4122 - [c13]Gabriele Birindelli
In silico study on radiobiological efficacy of Ac-225 and Lu-177 for PSMA-guided radiotherapy. EMBC 2021: 4497-4500 - 2020
- [j7]Xiaobin Hu
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 24(9): 2599-2608 (2020)
2010 – 2019
- 2019
- [c12]Yu Zhao, Andrei Gafita, Giles Tetteh, Fabian Haupt, Ali Afshar-Oromieh, Bjoern H. Menze
Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images. EMBC 2019: 951-954 - [c11]Hongwei Li
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. EMBC 2019: 2095-2098 - [c10]Yu Zhao, Ping Wu, Jian Wang, Hongwei Li
A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on 18F-FDG PET Images. EMBC 2019: 3531-3534 - [c9]Yu Zhao, Yuan Liu, Yansheng Kan, Anjany Sekuboyina, Diana Waldmannstetter, Hongwei Li
Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification. MICCAI (6) 2019: 22-30 - 2018
- [c8]Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Förster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi
Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. DLMIA/ML-CDS@MICCAI 2018: 227-235 - [i3]Hongwei Li, Kanru Lin, Maximilian Reichert, Lina Xu, Rickmer Braren, Deliang Fu, Roland Schmid, Ji Li, Bjoern Holger Menze, Kuangyu Shi:
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. CoRR abs/1806.01023 (2018) - [i2]Deepa Gunashekar, Sailesh Conjeti, Abhijit Guha Roy, Nassir Navab, Kuangyu Shi:
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis. CoRR abs/1806.11475 (2018) - [i1]Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Förster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi:
Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. CoRR abs/1810.05733 (2018) - 2017
- [j6]Kuangyu Shi
Editorial for the special issue of "Computational methods for molecular imaging" for computerized medical imaging and graphics. Comput. Medical Imaging Graph. 60: 1-2 (2017) - [j5]Kuangyu Shi
Individual refinement of attenuation correction maps for hybrid PET/MR based on multi-resolution regional learning. Comput. Medical Imaging Graph. 60: 50-57 (2017) - [j4]Huiwei Zhang, Ping Wu
Data-driven identification of intensity normalization region based on longitudinal coherency of 18F-FDG metabolism in the healthy brain. NeuroImage 146: 589-599 (2017) - [c7]Lina Xu
W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients. CMMI/RAMBO/SWITCH@MICCAI 2017: 23-30 - [c6]Rui Li, Ping Wu, Igor Yakushev, Jian Wang, Sibylle Ilse Ziegler, Stefan Förster, Sung-Cheng Huang, Markus Schwaiger, Nassir Navab, Chuantao Zuo, Kuangyu Shi
Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of Parkinsonism. MICCAI (3) 2017: 125-133 - [e1]M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian V. Dalca, Roland Wiest, Wiro J. Niessen, Bart J. Emmer:
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10555, Springer 2017, ISBN 978-3-319-67563-3 [contents] - 2015
- [j3]Xiaoyin Cheng, Zhoulei Li, Zhen Liu
Direct Parametric Image Reconstruction in Reduced Parameter Space for Rapid Multi-Tracer PET Imaging. IEEE Trans. Medical Imaging 34(7): 1498-1512 (2015) - 2013
- [c5]Xiaoyin Cheng, Nassir Navab, Sibylle Ilse Ziegler, Kuangyu Shi
Direct Parametric Image Reconstruction of Rapid Multi-tracer PET. MICCAI (3) 2013: 155-162 - 2011
- [c4]Kuangyu Shi
Sparse Dose Painting Based on a Dual-Pass Kinetic-Oxygen Mapping of Dynamic PET Images. MICCAI (1) 2011: 484-491
2000 – 2009
- 2009
- [p1]Kuangyu Shi
Path Line Attributes - an Information Visualization Approach to Analyzing the Dynamic Behavior of 3D Time-Dependent Flow Fields. Topology-Based Methods in Visualization II 2009: 75-88 - 2008
- [b1]Kuangyu Shi:
Path-line oriented visualization of dynamical flow fields. Saarland University, Germany, 2008 - [j2]Kuangyu Shi
Visualizing Transport Structures of Time-Dependent Flow Fields. IEEE Computer Graphics and Applications 28(5): 24-36 (2008) - [c3]Kuangyu Shi
Finite-Time Transport Structures of Flow Fields. PacificVis 2008: 63-70 - 2007
- [j1]Kuangyu Shi, Holger Theisel, Tino Weinkauf, Helwig Hauser, Hans-Christian Hege, Hans-Peter Seidel:
Extracting Separation Surfaces of Path Line Oriented Topology in Periodic 2D Time-Dependent Vector Fields. J. WSCG 15(1-3): 75-82 (2007) - 2006
- [c2]Kuangyu Shi, Holger Theisel, Tino Weinkauf, Helwig Hauser, Hans-Christian Hege, Hans-Peter Seidel:
Path Line Oriented Topology for Periodic 2D Time-Dependent Vector Fields. EuroVis 2006: 139-146 - 2005
- [c1]Tino Weinkauf, Holger Theisel, Kuangyu Shi
Extracting Higher Order Critical Points and Topological Simplification of 3D Vector Fields. IEEE Visualization 2005: 559-566
Coauthor Index
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