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Łukasz Roguski
Tytuł
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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
1482021
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
1282021
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
1242020
DSRC 2—Industry-oriented compression of FASTQ files
Ł Roguski, S Deorowicz
Bioinformatics 30 (15), 2213-2215, 2014
1062014
Disk-based compression of data from genome sequencing
S Grabowski, S Deorowicz, Ł Roguski
Bioinformatics 31 (9), 1389-1395, 2015
792015
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
732020
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
662020
FaStore–a space-saving solution for raw sequencing data
Ł Roguski, I Ochoa, M Hernaez, S Deorowicz
Bioinformatics 1, 9, 2018
552018
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
392020
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
352020
MedCAT--medical concept annotation tool
Z Kraljevic, D Bean, A Mascio, L Roguski, A Folarin, A Roberts, ...
arXiv preprint arXiv:1912.10166, 2019
312019
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
172022
CARGO: effective format-free compressed storage of genomic information
Ł Roguski, P Ribeca
Nucleic acids research 44 (12), e114-e114, 2016
142016
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
52020
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
42020
Disk-based genome sequencing data compression
S Grabowski, S Deorowicz, Ł Roguski
arXiv preprint arXiv:1405.6874, 2014
42014
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
12023
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
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