Oskar Wysocki

Oskar Wysocki

Manchester University

H-index: 7

North America-United States

About Oskar Wysocki

Oskar Wysocki, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Manchester University, specializes in the field of Explainable AI, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Epidemiological and clinical analysis of polish short-term and long-term travelers returning from tropical countries

Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy

Large language models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery

A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data

On the Visualisation of Argumentation Graphs to Support Text Interpretation

Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making

Transformers and the representation of biomedical background knowledge

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 …

Oskar Wysocki Information

University

Position

___

Citations(all)

151

Citations(since 2020)

128

Cited By

42

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Oskar Wysocki Skills & Research Interests

Explainable AI

Data Science

Top articles of Oskar Wysocki

Epidemiological and clinical analysis of polish short-term and long-term travelers returning from tropical countries

Travel Medicine and Infectious Disease

2023/9/1

Oskar Wysocki
Oskar Wysocki

H-Index: 4

Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy

Journal of Biomedical Informatics

2023/6/1

Large language models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery

arXiv preprint arXiv:2305.17819

2023/5/28

Magdalena Wysocka
Magdalena Wysocka

H-Index: 3

Oskar Wysocki
Oskar Wysocki

H-Index: 4

A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data

2023/5/15

On the Visualisation of Argumentation Graphs to Support Text Interpretation

arXiv preprint arXiv:2303.03235

2023/3/6

Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making

Artificial Intelligence

2023/3/1

Transformers and the representation of biomedical background knowledge

Computational Linguistics

2023/3/1

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 …

JCO Clinical Cancer Informatics

2022/5

Biomarker identification using dynamic time warping analysis: a longitudinal cohort study of patients with COVID-19 in a UK tertiary hospital

BMJ open

2022/2/1

Wave comparisons of clinical characteristics and outcomes of COVID-19 admissions-Exploring the impact of treatment and strain dynamics

Journal of Clinical Virology

2022/1/1

An international comparison of presentation, outcomes and CORONET predictive score performance in patients with cancer presenting with COVID-19 across different pandemic waves

Cancers

2022/8/16

Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy

arXiv preprint arXiv:2206.10612

2022/6/20

Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems

arXiv preprint arXiv:2107.08124

2021/7/16

Oskar Wysocki
Oskar Wysocki

H-Index: 4

CORONET; COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer.

2021/5/20

Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome

ESMO open

2021/2/1

Odwzorowanie właściwości energetycznych silników spalinowych pojazdów użytkowych z wykorzystaniem pomiarów trakcyjnych

2021

Oskar Wysocki
Oskar Wysocki

H-Index: 4

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 …

MedRxiv

2020/12/3

See List of Professors in Oskar Wysocki University(Manchester University)

Co-Authors

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