| Edge computing in smart health care systems: Review, challenges, and research directions M Hartmann, US Hashmi, A Imran Transactions on Emerging Telecommunications Technologies 33 (3), e3710, 2022 | 283 | 2022 |
| Current review and next steps for artificial intelligence in multiple sclerosis risk research M Hartmann, N Fenton, R Dobson Computers in Biology and Medicine 132, 104337, 2021 | 29 | 2021 |
| Distilled deep learning based classification of abnormal heartbeat using ECG data through a low cost edge device M Hartmann, H Farooq, A Imran 2019 IEEE symposium on computers and communications (ISCC), 1068-1071, 2019 | 12 | 2019 |
| Evaluating the risk factors for the development of benign disorders of defaecation: a surgical perspective P Chaichanavichkij, M Hartmann, SM Scott, N Fenton, CH Knowles, ... Techniques in Coloproctology 27 (10), 847-857, 2023 | 2 | 2023 |
| Modelling risk factors for aetiologically complex diseases with Bayesian networks M Hartmann | | 2023 |
| O039 Evaluating the influence of risk factors on the development of defaecatory problems: a Delphi study P Chaichanavichkij, M Hartmann, S McLachlan, SM Scott, N Fenton, ... British Journal of Surgery 109 (Supplement_4), znac242. 039, 2022 | | 2022 |
| Development of Bayesian Network for Multiple Sclerosis Risk Factor Interaction Analysis M Hartmann, N Fenton, R Dobson International Meeting on Computational Intelligence Methods for …, 2021 | | 2021 |
| Using Bayesian networks to understand multiple sclerosis risk factor interactions M Hartmann, N Fenton, R Dobson MULTIPLE SCLEROSIS JOURNAL 27 (2_ SUPPL), 375-375, 2021 | | 2021 |
| Energy Efficient Machine Learning-Based Classification of ECG Heartbeat Types M Hartmann | | 2018 |