An 8100 pixel optoelectronic array for optogenetic retinal prosthesis. - Ahmed Soltan; Hubin Zhao; Lionel Chaudet; Mark Neil; Pleun Maaskant; Patrick Degenaar (BioCAS, 2014)

An implantable optrode with Self-diagnostic function in 0.35µm CMOS for optical neural stimulation. - Hubin Zhao; Danil Sokolov; Patrick Degenaar (BioCAS, 2014)

A CMOS-based neural implantable optrode for optogenetic stimulation and electrical recording. - Hubin Zhao; Fahimeh Dehkhoda; Reza Ramezani; Danil Sokolov; Patrick Degenaar; Yan Liu 016; Timothy G. Constandinou (BioCAS, 2015)

On-Probe Neural Interface ASIC for Combined Electrical Recording and Optogenetic Stimulation. - Reza Ramezani; Yan Liu 016; Fahimeh Dehkhoda; Ahmed Soltan; Dorian Haci; Hubin Zhao; Dimitrios Firfilionis; Anupam Hazra; Mark O. Cunningham; Andrew Jackson 001; Timothy G. Constandinou; Patrick Degenaar (IEEE Trans. Biomed. Circuits Syst., 2018)

A Scalable Optoelectronic Neural Probe Architecture With Self-Diagnostic Capability. - Hubin Zhao; Ahmed Soltan; Pleun Maaskant; Na Dong; Xiaohan Sun; Patrick Degenaar (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Wearable, Integrated EEG-fNIRS Technologies: A Review. - Julie Uchitel; Ernesto Vidal Rosas; Robert J. Cooper; Hubin Zhao (Sensors, 2021)

FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms. - Yunyi Zhao; Yunjia Xia; Rui C. V. Loureiro; Hubin Zhao; Uwe Dolinsky; Shufan Yang (FPL, 2023)

Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset. - Yunyi Zhao; Yunjia Xia; Rui C. V. Loureiro; Hubin Zhao; Uwe Dolinsky; Shufan Yang (IWOCL, 2023)

Intelligent machines work in unstructured environments by differential neural computing. - Shengbo Wang; Shuo Gao 001; Chenyu Tang; Cong Li; Shurui Wang; Jiaqi Wang 016; Hubin Zhao; Guohua Hu; Arokia Nathan; Ravinder Dahiya; Luigi G. Occhipinti (CoRR, 2023)

Mental Fatigue Classification with High-Density Diffuse Optical Tomography: A Feasibility Study. - Jianan Chen; Yunjia Xia; Alexander Thomas; Tom Carlson; Hubin Zhao (EMBC, 2024)

A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS. - Renas Ercan; Yunjia Xia; Yunyi Zhao; Rui C. V. Loureiro; Shufan Yang; Hubin Zhao (ISCAS, 2024)

An FPGA-based, multi-channel, real-time, motion artifact detection technique for fNIRS/DOT systems. - Yunjia Xia; Elisabetta Maria Frijia; Rui C. V. Loureiro; Robert J. Cooper; Hubin Zhao (ISCAS, 2024)

Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data. - Mengtian Kang; Yansong Hu; Shuo Gao 001; Yuanyuan Liu; Hongbei Meng; Xuemeng Li; Xuhang Chen 001; Hubin Zhao; Jing Fu; Guohua Hu; Wei Wang; Yanning Dai; et al. (CoRR, 2024)

A Unified Platform for At-Home Post-Stroke Rehabilitation Enabled by Wearable Technologies and Artificial Intelligence. - Chenyu Tang; Ruizhi Zhang; Shuo Gao 001; Zihe Zhao; Zibo Zhang; Jiaqi Wang 016; Cong Li; Junliang Chen; Yanning Dai; Shengbo Wang; Ruoyu Juan; Qiaoying Li; et al. (CoRR, 2024)

An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection. - Renas Ercan; Yunjia Xia; Yunyi Zhao; Rui C. V. Loureiro; Shufan Yang; Hubin Zhao (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Temporal Dynamics and Physical Priori Multimodal Network for Rehabilitation Physical Training Evaluation. - Shuo Gao 001; Jianan Chen; Xuhang Chen 003; Julie Uchitel; Chenyu Tang; Cong Li; Yu Pan; Hubin Zhao (IEEE J. Biomed. Health Informatics, 2024)

Real-Time Motion Artifact Removal in fNIRS with Denoising Autoencoder at the Edge. - Jinchen Li; Yunjia Xia; Jingyu Lei; Robert J. Cooper; Hubin Zhao (ISCAS, 2025)

Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions. - Tianliang Yao; Bo Lu 001; Markus Kowarschik; Yixuan Yuan; Hubin Zhao; Sebastien Ourselin; Kaspar Althoefer; Junbo Ge; Peng Qi 001 (CoRR, 2025)