Multi-parametric neuroimaging reproducibility: A 3-T resource study. - Bennett A. Landman; Alan J. Huang; Aliya Gifford; Deepti S. Vikram; Issel Anne L. Lim; Jonathan A. D. Farrell; John A. Bogovic; Jun Hua; Min Chen 006; Samson Jarso; Seth A. Smith; Suresh Joel; et al. (NeuroImage, 2011)

An event-driven ultra-low-current battery management system with reconfigurable linear regulator for multi-cell battery applications. - Jun Hua; Hoi Lee; Ken King (ISCAS, 2012)

The BOLD post-stimulus undershoot, one of the most debated issues in fMRI. - Peter C. M. van Zijl; Jun Hua; Hanzhang Lu (NeuroImage, 2012)

Nuclear Overhauser enhancement (NOE) imaging in the human brain at 7 T. - Craig K. Jones; Alan J. Huang; Jiadi Xu; Richard A. E. Edden; Michael Schär; Jun Hua; Nikita Oskolkov; Domenico Zacà; Jinyuan Zhou; Michael T. McMahon; Jay J. Pillai; Peter C. M. van Zijl (NeuroImage, 2013)

Efficient and robust identification of cortical targets in concurrent TMS-fMRI experiments. - Jeffrey M. Yau; Jun Hua; Diana A. Liao; John E. Desmond (NeuroImage, 2013)

Three-dimensional acquisition of cerebral blood volume and flow responses during functional stimulation in a single scan. - Ying Cheng 003; Peter C. M. van Zijl; James J. Pekar; Jun Hua (NeuroImage, 2014)

Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field. - Shruti Agarwal; Haris I. Sair; Raag D. Airan; Jun Hua; Craig K. Jones; Hye-Young Heo; Alessandro Olivi; Martin A. Lindquist; James J. Pekar; Jay J. Pillai (Brain Connect., 2016)

Study on the mechanism of wheel corrugation based on experiment and simulation. - Jun Hua; Xiujuan Zhao; Chong Su; Ruiming Ren (CSCWD, 2017)

A three-dimensional single-scan approach for the measurement of changes in cerebral blood volume, blood flow, and blood oxygenation-weighted signals during functional stimulation. - Ying Cheng 003; Qin Qin; Peter C. M. van Zijl; James J. Pekar; Jun Hua (NeuroImage, 2017)

Deep Learning Technology for Chiller Faults Diagnosis. - Ke Yan 001; Jun Hua (DASC/PiCom/DataCom/CyberSciTech, 2019)

Functional Magnetic Resonance Imaging Activation Optimization in the Setting of Brain Tumor-Induced Neurovascular Uncoupling Using Resting-State Blood Oxygen Level-Dependent Amplitude of Low Frequency Fluctuations. - Shruti Agarwal; Haris I. Sair; Sachin K. Gujar; Jun Hua; Hanzhang Lu; Jay J. Pillai (Brain Connect., 2019)

MRI techniques to measure arterial and venous cerebral blood volume. - Jun Hua; Peiying Liu; Tae Kim; Manus J. Donahue; Swati D. Rane; J. Jean Chen; Qin Qin; Seong-Gi Kim (NeuroImage, 2019)

Cluster-based energy-efficient joint user association and resource allocation for B5G ultra-dense network. - Lin Zhu; Lihua Yang; Qingmiao Zhang; Tianqing Zhou; Jun Hua (Phys. Commun., 2021)

DDAL: A Drift Detection Active Learning Mechanism. - Shuren Li; Weinan Wang; Xiangqian Jiang; Jun Hua; Jiawei Mao; Yibin Lu; Xuan Jia; Di Wang; Zhen Wang; Yifei Lu 001 (CBD, 2023)

Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework. - Zhuoyao Xin; Christopher Wu; Dong Liu; Chunming Gu; Jia Guo; Jun Hua (CoRR, 2023)

Analysis of thermo-mechanical coupling characteristics of feed system of woodworking center based on fuzzy control algorithm. - Yin-Kun Sun; Jun Hua; Yan-Na Li; Guang-Wei Chen (J. Intell. Fuzzy Syst., 2023)

Modeling Vehicle Paths at Intersections: A Unified Approach Based on Entrance and Exit Lanes. - Guangquan Lu; Jun Hua; Haoyi Zhao; Miaomiao Liu; Jin Xu 008; Fang Zong (IEEE Trans. Intell. Transp. Syst., 2023)

A unified risk field-based driving behavior model for car-following and lane-changing behaviors simulation. - Haitian Tan; Guangquan Lu; Zhaojie Wang; Jun Hua; Miaomiao Liu (Simul. Model. Pract. Theory, 2024)

Technical considerations for using intravenous gadolinium-based-contrast-agent (GBCA) based MRI approaches to study cerebrospinal fluid (CSF) circulation and clearance. - Jun Hua; Yuanqi Sun; Yinghao Li; Xinyi Zhou; Yuhan Bian; Adrian Paez; Briana Meyer; Swati Rane Levendovszky (NeuroImage, 2025)