Multi-domain clinical natural language processing with MedCAT: the medical concept annotation toolkit Z Kraljevic, T Searle, A Shek, L Roguski, K Noor, D Bean, A Mascio, L Zhu, ... Artificial intelligence in medicine 117, 102083, 2021 | 172 | 2021 |
Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study E Carr, R Bendayan, D Bean, M Stammers, W Wang, H Zhang, T Searle, ... BMC medicine 19 (1), 1-16, 2021 | 164 | 2021 |
Angiotensin‐converting enzyme inhibitors and angiotensin II receptor blockers are not associated with severe COVID‐19 infection in a multi‐site UK acute hospital trust DM Bean, Z Kraljevic, T Searle, R Bendayan, OG Kevin, A Pickles, ... European journal of heart failure 22 (6), 967-974, 2020 | 129 | 2020 |
DSRC 2—Industry-oriented compression of FASTQ files Ł Roguski, S Deorowicz Bioinformatics 30 (15), 2213-2215, 2014 | 112 | 2014 |
Disk-based compression of data from genome sequencing S Grabowski, S Deorowicz, Ł Roguski Bioinformatics 31 (9), 1389-1395, 2015 | 78 | 2015 |
Treatment with ACE-inhibitors is associated with less severe disease with SARS-Covid-19 infection in a multi-site UK acute Hospital Trust DM Bean, Z Kraljevic, T Searle, R Bendayan, A Pickles, A Folarin, ... MedRxiv, 2020.04. 07.20056788, 2020 | 76 | 2020 |
ACE-inhibitors and Angiotensin-2 Receptor Blockers are not associated with severe SARS-COVID19 infection in a multi-site UK acute Hospital Trust DM Bean, Z Kraljevic, T Searle, R Bendayan, G Kevin O, A Pickles, ... European Journal of Heart Failure 22 (6), 967-974, 2020 | 66 | 2020 |
FaStore–a space-saving solution for raw sequencing data Ł Roguski, I Ochoa, M Hernaez, S Deorowicz Bioinformatics 1, 9, 2018 | 61 | 2018 |
Natural language processing for mimicking clinical trial recruitment in critical care: a semi-automated simulation based on the LeoPARDS trial HC Tissot, AD Shah, D Brealey, S Harris, R Agbakoba, A Folarin, ... IEEE Journal of Biomedical and Health Informatics 24 (10), 2950-2959, 2020 | 48 | 2020 |
Implementation of a real-time psychosis risk detection and alerting system based on electronic health records using CogStack T Wang, D Oliver, Y Msosa, C Colling, G Spada, Ł Roguski, A Folarin, ... JoVE (Journal of Visualized Experiments), e60794, 2020 | 35 | 2020 |
MedCAT--medical concept annotation tool Z Kraljevic, D Bean, A Mascio, L Roguski, A Folarin, A Roberts, ... arXiv preprint arXiv:1912.10166, 2019 | 32 | 2019 |
Deployment of a free-text analytics platform at a UK national health service research hospital: Cogstack at University College London Hospitals K Noor, L Roguski, X Bai, A Handy, R Klapaukh, A Folarin, L Romao, ... JMIR Medical Informatics 10 (8), e38122, 2022 | 20 | 2022 |
CARGO: effective format-free compressed storage of genomic information Ł Roguski, P Ribeca Nucleic acids research 44 (12), e114-e114, 2016 | 15 | 2016 |
o’gallagher K, Zakeri R, Shah A, Teo J, Dobson RJB D Bean, Z Kraljevic, T Searle, R Bendayan, A Pickles, A Folarin, ... ACE-inhibitors and Angiotensin-2 Receptor Blockers are not associated with …, 2020 | 6 | 2020 |
Treatment with ACE-inhibitors is not associated with early severe SARS-Covid-19 infection in a multi-site UK acute Hospital Trust D Bean, Z Kraljevic, T Searle, R Bendayan, A Pickles, A Folarin, ... ResearchGate, 2020 | 4 | 2020 |
Disk-based genome sequencing data compression S Grabowski, S Deorowicz, Ł Roguski arXiv preprint arXiv:1405.6874, 2014 | 4 | 2014 |
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey L Torbarina, T Ferkovic, L Roguski, V Mihelcic, B Sarlija, Z Kraljevic arXiv preprint arXiv:2308.08234, 2023 | 3 | 2023 |
Speeding Up Transformer Training By Using Dataset Subsampling-An Exploratory Analysis L Torbarina, V Mihelčić, B Šarlija, L Roguski, Ž Kraljević Proceedings of the Second Workshop on Simple and Efficient Natural Language …, 2021 | | 2021 |
High-throughput sequencing data compression Ł Roguski Universitat Pompeu Fabra, 2017 | | 2017 |
Fluid motion modelling using vortex particle method on GPU Ł Roguski, S Deorowicz Studia Informatica 34 (1), 31-48, 2013 | | 2013 |