DSRC 2 - Industry-oriented compression of FASTQ files. - Lukasz Roguski; Sebastian Deorowicz (Bioinform., 2014)

Disk-based genome sequencing data compression. - Szymon Grabowski; Sebastian Deorowicz; Lukasz Roguski (CoRR, 2014)

Disk-based compression of data from genome sequencing. - Szymon Grabowski; Sebastian Deorowicz; Lukasz Roguski (Bioinform., 2015)

CARGO: Effective format-free compressed storage of genomic information. - Lukasz Roguski; Paolo Ribeca (CoRR, 2015)

FaStore: a space-saving solution for raw sequencing data. - Lukasz Roguski; Idoia Ochoa; Mikel Hernaez; Sebastian Deorowicz (Bioinform., 2018)

MedCAT - Medical Concept Annotation Tool. - Zeljko Kraljevic; Daniel Bean; Aurelie Mascio; Lukasz Roguski; Amos Folarin; Angus Roberts; Rebecca Bendayan; Richard J. B. Dobson (CoRR, 2019)

Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial. - Hegler Correa Tissot; Anoop D. Shah; David Brealey; Steve K. Harris; Ruth Agbakoba; Amos Folarin; Luis Romao; Lukasz Roguski; Richard J. B. Dobson; Folkert W. Asselbergs (IEEE J. Biomed. Health Informatics, 2020)

Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis. - Lovre Torbarina; Velimir Mihelcic; Bruno Sarlija; Lukasz Roguski; Zeljko Kraljevic (SustaiNLP@EMNLP, 2021)

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit. - Zeljko Kraljevic; Thomas Searle; Anthony Shek; Lukasz Roguski; Kawsar Noor; Daniel Bean; Aurelie Mascio; Leilei Zhu; Amos A. Folarin; Angus Roberts; Rebecca Bendayan; Mark P. Richardson; et al. (Artif. Intell. Medicine, 2021)

Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals. - Kawsar Noor; Lukasz Roguski; Alex Handy; Roman Klapaukh; Amos Folarin; Luis Romao; Joshua Matteson; Nathan Lea; Leilei Zhu; Wai Keong Wong; Anoop D. Shah; Richard J. B. Dobson (CoRR, 2021)

Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey. - Lovre Torbarina; Tin Ferkovic; Lukasz Roguski; Velimir Mihelcic; Bruno Sarlija; Zeljko Kraljevic (CoRR, 2023)

Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Position Paper. - Lovre Torbarina; Tin Ferkovic; Lukasz Roguski; Velimir Mihelcic; Bruno Sarlija; Zeljko Kraljevic (Nat. Lang. Process. J., 2024)