Extracting Higher Order Critical Points and Topological Simplification of 3D Vector Fields. - Tino Weinkauf; Holger Theisel; Kuangyu Shi; Hans-Christian Hege; Hans-Peter Seidel (IEEE Visualization, 2005)

Path Line Oriented Topology for Periodic 2D Time-Dependent Vector Fields. - Kuangyu Shi; Holger Theisel; Tino Weinkauf; Helwig Hauser; Hans-Christian Hege; Hans-Peter Seidel (EuroVis, 2006)

Extracting Separation Surfaces of Path Line Oriented Topology in Periodic 2D Time-Dependent Vector Fields. - Kuangyu Shi; Holger Theisel; Tino Weinkauf; Helwig Hauser; Hans-Christian Hege; Hans-Peter Seidel (J. WSCG, 2007)

Finite-Time Transport Structures of Flow Fields. - Kuangyu Shi; Holger Theisel; Tino Weinkauf; Hans-Christian Hege; Hans-Peter Seidel (PacificVis, 2008)

Visualizing Transport Structures of Time-Dependent Flow Fields. - Kuangyu Shi; Holger Theisel; Tino Weinkauf; Hans-Christian Hege; Hans-Peter Seidel (IEEE Computer Graphics and Applications, 2008)

Path-line oriented visualization of dynamical flow fields. - Kuangyu Shi (2008)

Path Line Attributes - an Information Visualization Approach to Analyzing the Dynamic Behavior of 3D Time-Dependent Flow Fields. - Kuangyu Shi; Holger Theisel; Helwig Hauser; Tino Weinkauf; Kresimir Matkovic; Hans-Christian Hege; Hans-Peter Seidel (Topology-Based Methods in Visualization II, 2009)

Sparse Dose Painting Based on a Dual-Pass Kinetic-Oxygen Mapping of Dynamic PET Images. - Kuangyu Shi; Sabrina T. Astner; Liang Sun; Nassir Navab; Fridtjof Nüsslin; Peter Vaupel; Jan J. Wilkens (MICCAI (1), 2011)

Direct Parametric Image Reconstruction of Rapid Multi-tracer PET. - Xiaoyin Cheng; Nassir Navab; Sibylle Ilse Ziegler; Kuangyu Shi (MICCAI (3), 2013)

Direct Parametric Image Reconstruction in Reduced Parameter Space for Rapid Multi-Tracer PET Imaging. - Xiaoyin Cheng; Zhoulei Li; Zhen Liu; Nassir Navab; Sung-Cheng Huang; Ulrich Keller; Sibylle Ilse Ziegler; Kuangyu Shi (IEEE Trans. Medical Imaging, 2015)

Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of Parkinsonism. - Rui Li 053; Ping Wu 003; Igor Yakushev; Jian Wang 009; Sibylle Ilse Ziegler; Stefan Förster; Sung-Cheng Huang; Markus Schwaiger; Nassir Navab; Chuantao Zuo; Kuangyu Shi (MICCAI (3), 2017)

W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients. - Lina Xu; Giles Tetteh; Mona Mustafa; Jana Lipková; Yu Zhao 009; Marie Bieth; Patrick Ferdinand Christ; Marie Piraud; Bjoern H. Menze; Kuangyu Shi (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Individual refinement of attenuation correction maps for hybrid PET/MR based on multi-resolution regional learning. - Kuangyu Shi; Sebastian Fürst; Liang Sun; Mathias Lukas; Nassir Navab; Stefan Förster; Sibylle Ilse Ziegler (Comput. Medical Imaging Graph., 2017)

Editorial for the special issue of "Computational methods for molecular imaging" for computerized medical imaging and graphics. - Kuangyu Shi; Fei Gao; Nassir Navab; Julia A. Schnabel; Pengcheng Shi; Sibylle Ilse Ziegler (Comput. Medical Imaging Graph., 2017)

Data-driven identification of intensity normalization region based on longitudinal coherency of 18F-FDG metabolism in the healthy brain. - Huiwei Zhang; Ping Wu 003; Sibylle Ilse Ziegler; Yihui Guan; Yuetao Wang; Jingjie Ge; Markus Schwaiger; Sung-Cheng Huang; Chuantao Zuo; Stefan Förster; Kuangyu Shi (NeuroImage, 2017)

Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. - Shubham Kumar; Abhijit Guha Roy; Ping Wu 003; Sailesh Conjeti; R. S. Anand; Jian Wang 009; Igor Yakushev; Stefan Förster; Markus Schwaiger; Sung-Cheng Huang; Axel Rominger; Chuantao Zuo; et al. (DLMIA/ML-CDS@MICCAI, 2018)

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. - Hongwei Li 004; Kanru Lin; Maximilian Reichert; Lina Xu; Rickmer Braren; Deliang Fu; Roland Schmid; Ji Li; Bjoern Holger Menze; Kuangyu Shi (CoRR, 2018)

SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis. - Deepa Gunashekar; Sailesh Conjeti; Abhijit Guha Roy; Nassir Navab; Kuangyu Shi (CoRR, 2018)

Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images. - Yu Zhao 009; Andrei Gafita; Giles Tetteh; Fabian Haupt; Ali Afshar-Oromieh; Bjoern H. Menze; Matthias Eiber; Axel Rominger; Kuangyu Shi (EMBC, 2019)

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. - Hongwei Li 004; Maximilian Reichert; Kanru Lin; Nikita Tselousov; Rickmer Braren; Deliang Fu; Roland Schmid; Ji Li; Bjoern H. Menze; Kuangyu Shi (EMBC, 2019)

A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on 18F-FDG PET Images. - Yu Zhao 009; Ping Wu 003; Jian Wang 009; Hongwei Li 004; Nassir Navab; Igor Yakushev; Wolfgang Weber 005; Markus Schwaiger; Sung-Cheng Huang; Paul Cumming; Axel Rominger; Chuantao Zuo; et al. (EMBC, 2019)

Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification. - Yu Zhao 009; Yuan Liu; Yansheng Kan; Anjany Sekuboyina; Diana Waldmannstetter; Hongwei Li 004; Xiaobin Hu; Xiaozhi Zhao; Kuangyu Shi; Bjoern H. Menze (MICCAI (6), 2019)

Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images. - Xiaobin Hu; Rui Guo; Jieneng Chen; Hongwei Li 004; Diana Waldmannstetter; Yu Zhao 009; Biao Li; Kuangyu Shi; Bjoern H. Menze (IEEE J. Biomed. Health Informatics, 2020)

In silico study on radiobiological efficacy of Ac-225 and Lu-177 for PSMA-guided radiotherapy. - Gabriele Birindelli; Milos Drobnjakovic; Volker Morath; Katja Steiger; Calogero D'Alessandria; Eleni Gourni; Ali Afshar-Oromieh; Wolfgang Weber 005; Axel Rominger; Matthias Eiber; Kuangyu Shi (EMBC, 2021)

Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector. - Christoph Clement; Gabriele Birindelli; Marco Pizzichemi; Francesco Pagano; Marianna Kruithof-de Julio; Axel Rominger; Etiennette Auffray; Kuangyu Shi (EMBC, 2021)

Development of a deep learning method for CT-free correction for an ultra-long axial field of view PET scanner. - Song Xue; Karl Peter Bohn; Rui Guo; Hasan Sari; Marco Viscione; Axel Rominger; Biao Li; Kuangyu Shi (EMBC, 2021)

Concept Development of an On-Chip PET System. - Christoph Clement; Gabriele Birindelli; Marco Pizzichemi; Francesco Pagano; Marianna Kruithof-de Julio; Axel Rominger; Sibylle Ziegler; Etiennette Auffray; Kuangyu Shi (EMBC, 2022)

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

Non-Invasive Glucose Metabolism Quantification Method Based on Unilateral ICA Image Derived Input Function by Hybrid PET/MR in Ischemic Cerebrovascular Disease. - Min Wang 013; Bixiao Cui; Yi Shan; Hongwei Yang; Zhuangzhi Yan; Lalith Kumar Shiyam Sundar; Ian Alberts; Axel Rominger; Thomas Wendler 001; Kuangyu Shi; Yan Ma; Jiehui Jiang; et al. (IEEE J. Biomed. Health Informatics, 2022)

Enhancing Medical Image Segmentation with Anatomy-aware Label Dependency. - Francesca De Benetti; Robin Frasch; Luis F. Rodriguez Venegas; Kuangyu Shi; Nassir Navab; Thomas Wendler 001 (Bildverarbeitung für die Medizin, 2023)

Deep Learning Approaches for Contrast Removal from Contrast-enhanced CT - Streamlining Personalized Internal Dosimetry. - Marcel Ganß; Francesca De Benetti; Julia Brosch-Lenz; Carlos Uribe; Kuangyu Shi; Matthias Eiber; Nassir Navab; Thomas Wendler 001 (Bildverarbeitung für die Medizin, 2023)

A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma. - Lara Cavinato; Jimin Hong; Stefan Reinhard; Martin Wartenberg; Paolo Zunino; Andrea Manzoni; Francesca Ieva; Kuangyu Shi (CIBCB, 2023)

Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. - Francesca De Benetti; Walter Simson; Magdalini Paschali; Hasan Sari; Axel Rominger; Kuangyu Shi; Nassir Navab; Thomas Wendler 001 (MICCAI (1), 2023)

FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising. - Bo Zhou 009; Huidong Xie; Qiong Liu; Xiongchao Chen; Xueqi Guo; Zhicheng Feng; S. Kevin Zhou; Biao Li; Axel Rominger; Kuangyu Shi; James S. Duncan; Chi Liu 001 (CoRR, 2023)

AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images. - Yu Fu; Shunjie Dong; Meng Niu; Le Xue; Hanning Guo; Yanyan Huang; Yuanfan Xu; Tianbai Yu; Kuangyu Shi; Qianqian Yang 002; Yiyu Shi 001; Hong Zhang; et al. (Medical Image Anal., 2023)

Partial Unbalanced Feature Transport for Cross-Modality Cardiac Image Segmentation. - Shunjie Dong; Zixuan Pan; Yu Fu; Dongwei Xu; Kuangyu Shi; Qianqian Yang 002; Yiyu Shi 001; Cheng Zhuo (IEEE Trans. Medical Imaging, 2023)

FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising. - Bo Zhou 009; Huidong Xie; Qiong Liu; Xiongchao Chen; Xueqi Guo; Zhicheng Feng; Jun Hou; S. Kevin Zhou; Biao Li; Axel Rominger; Kuangyu Shi; James S. Duncan; et al. (Medical Image Anal., 2023)

PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets. - Boxiao Yu; Savas Ozdemir; Yafei Dong; Wei Shao 008; Kuangyu Shi; Kuang Gong (MICCAI (7), 2024)

Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. - Jiahao Huang; Liutao Yang; Fanwen Wang; Yang Nan 002; Weiwen Wu; Chengyan Wang; Kuangyu Shi; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Daoqiang Zhang; Guang Yang 006 (CoRR, 2024)

MPGAN: Multi Pareto Generative Adversarial Network for the denoising and quantitative analysis of low-dose PET images of human brain. - Yu Fu; Shunjie Dong; Yanyan Huang; Meng Niu; Chao Ni 010; Lequan Yu; Kuangyu Shi; Zhijun Yao; Cheng Zhuo (Medical Image Anal., 2024)

Detection of individual brain tau deposition in Alzheimer's disease based on latent feature-enhanced generative adversarial network. - Jiehui Jiang; Rong Shi; Jiaying Lu 006; Min Wang 013; Qi Zhang; Shuoyan Zhang; Luyao Wang; Ian Alberts; Axel Rominger; Chuantao Zuo; Kuangyu Shi (NeuroImage, 2024)

Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. - Jiahao Huang; Liutao Yang; Fanwen Wang; Yinzhe Wu 001; Yang Nan 002; Weiwen Wu; Chengyan Wang; Kuangyu Shi; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Daoqiang Zhang; Guang Yang 006 (Medical Image Anal., 2025)

Developing a PET/CT Foundation Model for Cross-Modal Anatomical and Functional Imaging. - Yujin Oh; Robert Seifert; Yihan Cao; Christoph Clement; Justin Ferdinandus; Constantin Lapa; Alessandro Liebich; Michelle Amon; Johanna Enke; Sifan Song; Runqi Meng; Fang Zeng; et al. (CoRR, 2025)

Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study. - Jing Zhang; Alexandre Bousse; Laetitia Imbert; Song Xue; Kuangyu Shi; Julien Bert (CoRR, 2025)

Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising. - Yinchi Zhou; Huidong Xie; Menghua Xia; Qiong Liu; Bo Zhou 009; Tianqi Chen; Jun Hou; Liang Guo; Xinyuan Zheng; Hanzhong Wang; Biao Li; Axel Rominger; et al. (CoRR, 2025)

Anomaly Detection in Medical Images Using Encoder-Attention-2Decoders Reconstruction. - Peng Tang; Xiaoxiao Yan; Xiaobin Hu; Kai Wu; Tobias Lasser; Kuangyu Shi (IEEE Trans. Medical Imaging, 2025)