Assessment of cerebrospinal fluid outflow resistance. - Anders Eklund 001; Peter Smielewski; Iain Chambers; Noam Alperin; Jan Malm; Marek Czosnyka; Anthony Marmarou (Medical Biol. Eng. Comput., 2007)

Complexity of cerebral blood flow velocity and arterial blood pressure in subarachnoid hemorrhage using time-frequency analysis. - Michal M. Placek; Pawel Wachel; Marek Czosnyka; Martin Soehle; Peter Smielewski; Magdalena Kasprowicz (EMBC, 2015)

A multiplex network approach for the analysis of intracranial pressure and heart rate data in traumatic brain injured patients. - Giovanna Maria Dimitri; Shruti Agrawal; Adam Young; Joseph Donnelly; Xiuyun Liu; Peter Smielewski; Peter Hutchinson; Marek Czosnyka; Pietro Liò; Christina Haubrich (Appl. Netw. Sci., 2017)

DeepClean - self-supervised artefact rejection for intensive care waveform data using generative deep learning. - Tom Edinburgh; Peter Smielewski; Marek Czosnyka; Stephen J. Eglen; Ari Ercole (CoRR, 2019)

Causal relationship between slow waves of arterial, intracranial pressures and blood velocity in brain. - Isabel Martinez-Tejada; Marek Czosnyka; Zofia Czosnyka; Marianne Juhler; Peter Smielewski (Comput. Biol. Medicine, 2021)

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 deep learning-enabled smart garment for versatile sleep behaviour monitoring. - Chenyu Tang; Wentian Yi; Muzi Xu; Yuxuan Jin; Zibo Zhang; Xuhang Chen 001; Caizhi Liao; Peter Smielewski; Luigi G. Occhipinti (CoRR, 2024)

Wearable intelligent throat enables natural speech in stroke patients with dysarthria. - Chenyu Tang; Shuo Gao 001; Cong Li; Wentian Yi; Yuxuan Jin; Xiaoxue Zhai; Sixuan Lei; Hongbei Meng; Zibo Zhang; Muzi Xu; Shengbo Wang; Xuhang Chen 003; 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)

Interpretable model committee for monitoring and early prediction of intracranial pressure crises. - Cyprian Mataczynski; Agnieszka Kazimierska; Erta Beqiri; Marek Czosnyka; Peter Smielewski; Magdalena Kasprowicz (Expert Syst. Appl., 2025)

Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series. - Xuhang Chen 001; Ihsane Olakorede; Stefan Yu Bögli; Wenhao Xu; Erta Beqiri; Xuemeng Li; Chenyu Tang; Zeyu Gao; Shuo Gao 001; Ari Ercole; Peter Smielewski (CoRR, 2025)

An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework. - Yulin Sun; Xiaopeng Si; Runnan He; Xiao Hu; Peter Smielewski; Wenlong Wang; Xiaoguang Tong; Wei Yue; Meijun Pang; Kuo Zhang; Xizi Song; Dong Ming; et al. (CoRR, 2025)