In-vivo Strain and Stress Estimation of the Left Ventricle from MRI Images. - Zhenhua Hu; Dimitris N. Metaxas; Leon Axel (MICCAI (1), 2002)

Left Ventricle Composite Material Model for Stress-Strain Analysis. - Zhenhua Hu; Dimitris N. Metaxas; Leon Axel (IS4TH, 2003)

In vivo strain and stress estimation of the heart left and right ventricles from MRI images. - Zhenhua Hu; Dimitris N. Metaxas; Leon Axel (Medical Image Anal., 2003)

Service Virtualization. - Ming Xu; Zhenhua Hu; Weihong Long; Wayne Liu (The Grid 2, 2nd Edition, 2004)

Computational Modeling and Simulation of Heart Ventricular Mechanics from Tagged MRI. - Zhenhua Hu; Dimitris N. Metaxas; Leon Axel (FIMH, 2005)

Computational modeling and simulation of heart ventricular mechanics with tagged MRI. - Zhenhua Hu; Dimitris N. Metaxas; Leon Axel (Symposium on Solid and Physical Modeling, 2005)

Efficiency evaluation of basic research in China. - Wei Meng; Zhenhua Hu; Wenbin Liu (Scientometrics, 2006)

The Model of Personalized Intelligent Information Service in Library. - Xin Cai; Zhenhua Hu (CSIE (5), 2009)

Endoscopic Cerenkov luminescence imaging: in vivo small animal tumor model validation. - Tianming Song; Chengpeng Bao; Zhenhua Hu; Kun Wang 019; Xia Liu; Jie Tian 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Cerenkov luminescence tomography based on preconditioning orthogonal matching pursuit. - Haixiao Liu; Zhenhua Hu; Kun Wang 019; Jie Tian 001; Xin Yang 001 (Image Processing, 2015)

Forward-backward pursuit algorithm for Cerenkov luminescence tomography. - Haixiao Liu; Zhenhua Hu; Muhan Liu; Jie Tian 001 (EMBC, 2016)

Weight Multispectral Reconstruction Strategy for Enhanced Reconstruction Accuracy and Stability With Cerenkov Luminescence Tomography. - Hongbo Guo; Xiaowei He; Muhan Liu; Zeyu Zhang; Zhenhua Hu; Jie Tian 001 (IEEE Trans. Medical Imaging, 2017)

Automatic Detection of Scanned Page Orientation. - Zhenhua Hu; Peter Bauer; Todd J. Harris; Jan P. Allebach (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2019)

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results. - Yuqian Zhou; Michael Kwan; Kyle Tolentino; Neil Emerton; Sehoon Lim; Timothy A. Large; Lijiang Fu; Zhihong Pan 001; Baopu Li; Qirui Yang; Yihao Liu 001; Jigang Tang; et al. (ECCV Workshops (5), 2020)

Poster: Application-Aware Load Migration Protocols for Network Controllers. - Sepehr Abbasi Zadeh; Mohmmad Amin Beiruti; Yashar Ganjali; Zhenhua Hu (ICNP, 2020)

Poster: Fast Scheduling for Load Migration in Distributed Network Controllers. - Sepehr Abbasi Zadeh; Mohmmad Amin Beiruti; Yashar Ganjali; Zhenhua Hu (ICNP, 2020)

Relation Between Image Quality and Scan Resolution: Part I. - Zhenhua Hu; Litao Hu; Peter Bauer; Todd J. Harris; Jan P. Allebach (IQSP, 2020)

Document Image Quality Assessment with Relaying Reference to Determine Minimum Readable Resolution for Compression. - Litao Hu; Zhenhua Hu; Peter Bauer; Todd J. Harris; Jan P. Allebach (IQSP, 2020)

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results. - Yuqian Zhou; Michael Kwan; Kyle Tolentino; Neil Emerton; Sehoon Lim; Timothy A. Large; Lijiang Fu; Zhihong Pan 001; Baopu Li; Qirui Yang; Yihao Liu 005; Jigang Tang; et al. (CoRR, 2020)

Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics. - Cong Li; Di Dong; Liang Li; Wei Gong; Xiaohu Li; Yan Bai; Meiyun Wang; Zhenhua Hu; Yunfei Zha; Jie Tian 001 (IEEE J. Biomed. Health Informatics, 2020)

NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method. - Meishan Cai; Zeyu Zhang; Xiaojing Shi; Zhenhua Hu; Jie Tian 001 (IEEE Trans. Medical Imaging, 2020)

Non-Negative Iterative Convex Refinement Approach for Accurate and Robust Reconstruction in Cerenkov Luminescence Tomography. - Meishan Cai; Zeyu Zhang; Xiaojing Shi; Junying Yang; Zhenhua Hu; Jie Tian 001 (IEEE Trans. Medical Imaging, 2020)

Fundy: A Scalable and Extensible Resource Manager for Cloud Resources. - Xiaodi Ke; Cong Guo; Siqi Ji; Shane Bergsma; Zhenhua Hu; Lei Guo (CLOUD, 2021)

Determining Optimal Resolution for Scanned Document Raster Content. - Zhenhua Hu; Peter Bauer; Todd J. Harris; Jan P. Allebach (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2021)

Deep Learning Approaches to Determining Optimal Resolution for Scanned Text Documents. - Litao Hu; Zhenhua Hu; Peter Bauer; Todd J. Harris; Jan P. Allebach (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2021)

PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Network. - Biluo Shen; Anqi Xiao; Jie Tian 001; Zhenhua Hu (ICCVW, 2021)

Residual learning network for accurate and stable reconstruction in Cerenkov luminescence tomography. - Xiaoning Zhang; Changjiang Li; Zeyu Zhang; Zhenhua Hu; Jie Tian 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

First Clinical Investigation of Near-Infrared Window IIa/IIb Fluorescence Imaging for Precise Surgical Resection of Gliomas. - Caiguang Cao; Zeping Jin; Xiaojing Shi; Zhe Zhang; Anqi Xiao; Junying Yang; Nan Ji; Jie Tian 001; Zhenhua Hu (IEEE Trans. Biomed. Eng., 2022)

Near-Infrared Window II Fluorescence Image-Guided Surgery of High-Grade Gliomas Prolongs the Progression-Free Survival of Patients. - Xiaojing Shi; Zhe Zhang; Zeyu Zhang; Caiguang Cao; Zhen Cheng; Zhenhua Hu; Jie Tian 001; Nan Ji (IEEE Trans. Biomed. Eng., 2022)

Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging. - Anqi Xiao; Biluo Shen; Xiaojing Shi; Zhe Zhang; Zeyu Zhang; Jie Tian 001; Nan Ji; Zhenhua Hu (IEEE Trans. Medical Imaging, 2022)

Straggler Exploitation in Distributed Computing Systems with Task Grouping. - Tharindu Adikari; Haider Al-Lawati; Jason Lam; Zhenhua Hu; Stark C. Draper (Allerton, 2023)

Live Stateful Migration of a Virtual Sub-Network. - Farid Zandi; Sepehr Abbasi Zadeh; Soheil Abbasloo; Parsa Pazhooheshy; Yashar Ganjali; Zhenhua Hu (NOMS, 2023)

PSSGAN: Towards spectrum shift based perceptual quality enhancement for fluorescence imaging. - Lidan Fu; Binchun Lu; Jie Tian 001; Zhenhua Hu (Comput. Medical Imaging Graph., 2023)

Differentiable RandAugment: Learning Selecting Weights and Magnitude Distributions of Image Transformations. - Anqi Xiao; Biluo Shen; Jie Tian 001; Zhenhua Hu (IEEE Trans. Image Process., 2023)

NIR-IIb Fluorescence Molecular Tomography of Glioblastomas Based on Heterogeneous Mouse Models and Adaptive Projection Match Pursuit Method. - Xiaojing Shi; Lishuang Guo; Jiangang Liu; Jie Tian 001; Zhenhua Hu (IEEE Trans. Biomed. Eng., 2023)

Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging. - Mahmoud Afifi; Zhenhua Hu; Liang Liang (ECCV (2), 2024)

Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition. - Anqi Xiao; Keyi Han; Xiaojing Shi; Jie Tian 001; Zhenhua Hu (MICCAI (2), 2024)

A Risk-aware Planning Framework of UGVs in Off-Road Environment. - Junkai Jiang; Zhenhua Hu; Zihan Xie; Changlong Hao; Hongyu Liu; Wenliang Xu; Yuning Wang; Lei He; Shaobing Xu; Jianqiang Wang 003 (CoRR, 2024)

An Analysis for Image-to-Image Translation and Style Transfer. - Xiaoming Yu; Jie Tian 001; Zhenhua Hu (CoRR, 2024)

Exploiting Stragglers in Distributed Computing Systems With Task Grouping. - Tharindu Adikari; Haider Al-Lawati; Jason Lam; Zhenhua Hu; Stark C. Draper (IEEE Trans. Serv. Comput., 2024)

Limitations and Benefits of Link Quality Prediction in Stochastic Wireless Multihop Networks. - Xiaofei Shi; Wenxing Liao; Zhenhua Hu (Int. J. Distributed Sens. Networks, 2024)

Hopfield neural network with multi-scroll attractors and application in image encryption. - Zhenhua Hu; Chunhua Wang 001 (Multim. Tools Appl., 2024)

PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Networks. - Anqi Xiao; Biluo Shen; Jie Tian 001; Zhenhua Hu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Universal NIR-II fluorescence image enhancement via covariance weighted attention network. - Xiaoming Yu; Jie Tian 001; Zhenhua Hu (Multim. Syst., 2024)

XAI-PSSGAN: Perception-Enhanced Spectrum Shift Generative Adversarial Network with Explainable AI System for NIR-II Fluorescence Molecular Imaging. - Lidan Fu; Binchun Lu; Lingbing Li; Xiaojing Shi; Jie Tian 001; Zhenhua Hu (ISBI, 2025)

MamUNet: Mamba Enhances Vessel Segmentation in NIR-II Fluorescence Imaging. - Keyi Han; Anqi Xiao; Jie Tian 001; Zhenhua Hu (ISBI, 2025)

VGLGAN: Enhancing NIR-IIb image generation with vision transformer empowered global and local feature generative adversarial network. - Jinze Zhao; Yaqi Tian; Anqi Xiao; Jie Tian 001; Zhenhua Hu (Biomed. Signal Process. Control., 2025)

Deep Equilibrium Unfolding Learning for Noise Estimation and Removal in Optical Molecular Imaging. - Lidan Fu; Lingbing Li; Binchun Lu; Xiaoyong Guo; Xiaojing Shi; Jie Tian 001; Zhenhua Hu (Comput. Medical Imaging Graph., 2025)

TSPE: Reconstruction of multi-morphological tumors of NIR-II fluorescence molecular tomography based on positional encoding. - Keyi Han; Chunzhao Li; Anqi Xiao; Yaqi Tian; Jie Tian 001; Zhenhua Hu (Comput. Methods Programs Biomed., 2025)

NIR-II fluorescence image enhancement via multi-step modulation. - Xiaoming Yu; Jie Tian 001; Zhenhua Hu (Expert Syst. Appl., 2025)

Universal NIR-II fluorescence image enhancement via square and square root network. - Xiaoming Yu; Xiaojing Shi; Jie Tian 001; Zhenhua Hu (Signal Process., 2025)

NIR-II Fluorescence Image Translation via Latent Space Disentanglement. - Xiaoming Yu; Jie Tian 001; Zhenhua Hu (Int. J. Imaging Syst. Technol., 2025)

A Risk-Aware Planning Framework of UGVs in Off-Road Environment. - Junkai Jiang; Zhenhua Hu; Zihan Xie; Changlong Hao; Hongyu Liu; Wenliang Xu; Zhouwei Kong; Yuning Wang; Lei He; Shaobing Xu; Jianqiang Wang 003 (IEEE Trans. Veh. Technol., 2025)

Learning content and style representation for NIR-II fluorescence image translation. - Xiaoming Yu; Xiaojing Shi; Jie Tian 001; Zhenhua Hu (Signal Image Video Process., 2025)