Oskar Wysocki - Concepedia

Author

Oskar Wysocki

Cancer Research UK Manchester Institute ORCID

Also Known As

O Wysocki, O. Wysocki, Oskar WYSOCKI, Oskar Wysocki, Wysocki, Oskar

Publications

416

Citations

H-Index

Concepts

All Affiliations

Cancer Research UK Manchester Institute University of Manchester Idiap Research Institute University Hospital Southampton NHS Foundation Trust University of Southampton

About

Oskar Wysocki is an author at Cancer Research UK Manchester Institute specializing in numerical simulation, engineering, and external aerodynamics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	1	1	17
2	Medicine	1	1	17
3	Public Health	1	1	17
4	Epidemiology	1	1	17
5	Space Engineering	1	1	17

Oskar Wysocki

Publications

248

Citations

H-Index

Page 1

	Year	Citations
Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making Oskar Wysocki, Jessica Katharine Davies, Markel Vigo, Artificial Intelligence	2022	124
Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Journal of Biomedical Informatics	2023	26
Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome Rebecca Lee, Oskar Wysocki, Talvinder Bhogal, ESMO Open	2021	21
Wave drag reduction due to a self-aligning aerodisk Christian Schnepf, Oskar Wysocki, Erich Schülein AeroacousticsEngineeringFluid MechanicsWave MotionUnsteady Flow	2015	17
Wave comparisons of clinical characteristics and outcomes of COVID-19 admissions - Exploring the impact of treatment and strain dynamics Anna Freeman, Alastair Watson, Paul O’Regan, Journal of Clinical Virology Long CovidCovid-19 AdmissionsStrain DynamicsCovid-19 PandemicClinical Epidemiology	2021	17
Transformers and the Representation of Biomedical Background Knowledge Oskar Wysocki, Zili Zhou, Paul O’Regan, Computational Linguistics	2022	16
Biomarker identification using dynamic time warping analysis: a longitudinal cohort study of patients with COVID-19 in a UK tertiary hospital Hannah Burke, Anna Freeman, Paul O’Regan, BMJ Open	2022	15
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 Presentation to Hospital Rebecca Lee, Oskar Wysocki, Cong Zhou, JCO Clinical Cancer Informatics	2022	12

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