| Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making O Wysocki, JK Davies, M Vigo, AC Armstrong, D Landers, R Lee, A Freitas Artificial Intelligence 316, 103839, 2023 | 24 | 2023 |
| Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome RJ Lee, O Wysocki, T Bhogal, R Shotton, A Tivey, A Angelakas, T Aung, ... ESMO open 6 (1), 100005, 2021 | 17 | 2021 |
| Wave comparisons of clinical characteristics and outcomes of COVID-19 admissions-Exploring the impact of treatment and strain dynamics A Freeman, A Watson, P O'Regan, O Wysocki, H Burke, A Freitas, ... Journal of Clinical Virology 146, 105031, 2022 | 16 | 2022 |
| Establishment of CORONET, COVID-19 risk in oncology evaluation tool, to identify patients with cancer at low versus high risk of severe complications of COVID-19 disease on … RJ Lee, O Wysocki, C Zhou, R Shotton, A Tivey, L Lever, J Woodcock, ... JCO clinical cancer informatics 6, e2100177, 2022 | 11 | 2022 |
| A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data M Wysocka, O Wysocki, M Zufferey, D Landers, A Freitas BMC bioinformatics 24 (1), 198, 2023 | 10 | 2023 |
| Transformers and the representation of biomedical background knowledge O Wysocki, Z Zhou, P O’Regan, D Ferreira, M Wysocka, D Landers, ... Computational Linguistics 49 (1), 73-115, 2023 | 9 | 2023 |
| Analysis of the possibility of determining the general characteristics using the operational data of a vehicle engine O Wysocki, J Kropiwnicki, J Czyżewicz Combustion Engines 56, 2017 | 9 | 2017 |
| Biomarker identification using dynamic time warping analysis: a longitudinal cohort study of patients with COVID-19 in a UK tertiary hospital H Burke, A Freeman, P O’Regan, O Wysocki, A Freitas, A Dushianthan, ... BMJ open 12 (2), e050331, 2022 | 8 | 2022 |
| Heavy duty vehicle fuel consumption modeling using artificial neural networks O Wysocki, L Deka, D Elizondo 2019 25th International Conference on Automation and Computing (ICAC), 1-6, 2019 | 8 | 2019 |
| Model of the hydraulic pump powertrain of refuse collection vehicle compaction mechanism J Czyżewicz, J Kropiwnicki, O Wysocki Combustion Engines, 626-630, 2015 | 8 | 2015 |
| Heavy duty vehicle fuel consumption modelling based on exploitation data by using artificial neural networks O Wysocki, L Deka, D Elizondo, J Kropiwnicki, J Czyżewicz International Work-Conference on Artificial Neural Networks, 794-805, 2019 | 7 | 2019 |
| Design of a test bench for determining the general characteristics of an internal combustion engine using a hydraulic power take-off system O Wysocki, J Czyżewicz, J Kropiwnicki | 7 | 2017 |
| Establishment of CORONET; COVID-19 Risk in Oncology Evaluation Tool to identify cancer patients at low versus high risk of severe complications of COVID-19 infection upon … RJ Lee, C Zhou, O Wysocki, R Shotton, A Tivey, L Lever, J Woodcock, ... MedRxiv, 2020.11. 30.20239095, 2020 | 6 | 2020 |
| Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy A Bogatu, M Wysocka, O Wysocki, H Butterworth, M Pillai, J Allison, ... Journal of Biomedical Informatics 142, 104367, 2023 | 5 | 2023 |
| Large language models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery M Wysocka, O Wysocki, M Delmas, V Mutel, A Freitas arXiv preprint arXiv:2305.17819, 2023 | 5 | 2023 |
| Evaluation of the efficiency of the duty cycle of refuse collection vehicle based on real-world data O Wysocki, T Zajdziński, J Czyżewicz, J Kropiwnicki IOP Conference Series: Materials Science and Engineering 421 (4), 042086, 2018 | 5 | 2018 |
| Failure of cold-formed beam: How does residual stress affect stability? P Bielski, O Wysocki, J Czyżewicz Shell Structures: Theory and Applications Volume 4, 529-532, 2017 | 4 | 2017 |
| An international comparison of presentation, outcomes and CORONET predictive score performance in patients with cancer presenting with COVID-19 across different pandemic waves O Wysocki, C Zhou, J Rogado, P Huddar, R Shotton, A Tivey, L Albiges, ... Cancers 14 (16), 3931, 2022 | 2* | 2022 |
| CORONET; COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer. R Lee, O Wysocki, C Zhou, A Calles, L Eastlake, S Ganatra, M Harrison, ... Journal of Clinical Oncology 39 (15_suppl), 1505-1505, 2021 | 2 | 2021 |
| Experimental determination of general characteristic of internal combustion engine using mobile test bench connected via Power Take-Off unit O Wysocki, J Kropiwnicki, T Zajdziński, J Czyżewicz IOP Conference Series: Materials Science and Engineering 421 (4), 042087, 2018 | 2 | 2018 |
André FreitasUniversity of Manchester | Idiap Research InstituteVerified email at manchester.ac.uk
