Deogratias Mzurikwao

Fully portable and wireless universal brain–machine interfaces enabled by flexible scalp electronics and deep learning algorithm

Musa Mahmood, Deogratias Mzurikwao, Yun‐Soung Kim et al. · Nature Machine Intelligence · 2019 · 169 citations

Engineering, Flexible Scalp Electronics, Brain-inspired Sensors +10

A new technique for the prediction of heart failure risk driven by hierarchical neighborhood component-based learning and adaptive multi-layer networks

Oluwarotimi Williams Samuel, Bin Yang, Yanjuan Geng et al. · Future Generation Computer Systems · 2019 · 38 citations

Heart Failure, Engineering, Machine Learning +14

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah et al. · arXiv (Cornell University) · 2023 · 38 citations · Full text

Artificial Intelligence, Engineering, Ai Safety +24

Decoding movement intent patterns based on spatiotemporal and adaptive filtering method towards active motor training in stroke rehabilitation systems

Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Yanjuan Geng et al. · Neural Computing and Applications · 2021 · 23 citations

Physical Activity, Neurological Rehabilitation, Motor Control +16

Towards image-based cancer cell lines authentication using deep neural networks

Deogratias Mzurikwao, Muhammad Usman Khan, Oluwarotimi Williams Samuel et al. · Scientific Reports · 2020 · 19 citations · Full text