Personal information

Artificial Intelligence, Health and Life Sciences, Omics Analysis

Activities

Employment (3)

Radboud Universitair Medisch Centrum: Nijmegen, NL

2023-01 to 2026-01 | PhD Candidate (Internal Medicine)
Employment
Source: Self-asserted source
Kirsten van Abeelen

University of Milano-Bicocca: Milan, Lombardy, IT

2022-05-01 to 2022-10-31 | Research Fellow (Department of Informatics, Systems, and Communication)
Employment
Source: Self-asserted source
Kirsten van Abeelen

University of Milano-Bicocca: Milan, Lombardy, IT

2021-09-01 to 2022-04-30 | Research Fellow (School of Medicine)
Employment
Source: Self-asserted source
Kirsten van Abeelen

Education and qualifications (2)

Eindhoven University of Technology: Eindhoven, Noord-Brabant, NL

2019-09-01 to 2021-08-31 | MSc. Operations Management and Logistics (Industrial Engineering and Innovation Sciences)
Education
Source: Self-asserted source
Kirsten van Abeelen

Eindhoven University of Technology: Eindhoven, Noord-Brabant, NL

2015-09-01 to 2019-08-31 | BSc. Industrial Engineering (Industrial Engineering and Innovation Sciences)
Education
Source: Self-asserted source
Kirsten van Abeelen

Works (3)

Electrocardiogram Monitoring Wearable Devices and Artificial-Intelligence-Enabled Diagnostic Capabilities: A Review

Sensors
2023-05-16 | Journal article
Contributors: Luca Neri; Matt T. Oberdier; Kirsten C. J. van Abeelen; Luca Menghini; Ethan Tumarkin; Hemantkumar Tripathi; Sujai Jaipalli; Alessandro Orro; Nazareno Paolocci; Ilaria Gallelli et al.
Source: check_circle
Crossref
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Preferred source (of 2)‎

Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies

Expert Systems with Applications
2023-04 | Journal article
Contributors: Marco S. Nobile; Giulia Capitoli; Virgil Sowirono; Francesca Clerici; Isabella Piga; Kirsten van Abeelen; Fulvio Magni; Fabio Pagni; Stefania Galimberti; Paolo Cazzaniga et al.
Source: check_circle
Crossref

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar

Computer Methods and Programs in Biomedicine
2023-02 | Journal article
Contributors: Daniele M Papetti; Kirsten Van Abeelen; Rhodri Davies; Roberto Menè; Francesca Heilbron; Francesco P Perelli; Jessica Artico; Andreas Seraphim; James C Moon; Gianfranco Parati et al.
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Crossref

Peer review (2 reviews for 1 publication/grant)

Review activity for Tuberculosis. (2)