Peter Lucas

Peter Lucas

Radboud Universiteit

H-index: 40

Europe-Netherlands

About Peter Lucas

Peter Lucas, With an exceptional h-index of 40 and a recent h-index of 22 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of Computing Science, Artificial Intelligence, Biomedical Informatics, Medicine.

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

Causal Discovery with Missing Data in a Multicentric Clinical Study

Risk assessment of lymph node metastases in endometrial cancer patients: a causal approach

Towards a Transportable Causal Network Model Based on Observational Healthcare Data

ParaGnosis: A Tool for Parallel Knowledge Compilation

Deep neural networks for explainable feature extraction in orchid identification

The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study

Improved preoperative risk stratification in endometrial carcinoma patients: external validation of the ENDORISK Bayesian network model in a large population-based case series

Visual assistance in development and validation of bayesian networks for clinical decision support

Peter Lucas Information

University

Position

University of Twente Leiden University (guest at )

Citations(all)

6137

Citations(since 2020)

1673

Cited By

5393

hIndex(all)

40

hIndex(since 2020)

22

i10Index(all)

113

i10Index(since 2020)

46

Email

University Profile Page

Google Scholar

Peter Lucas Skills & Research Interests

Computing Science

Artificial Intelligence

Biomedical Informatics

Medicine

Top articles of Peter Lucas

Title

Journal

Author(s)

Publication Date

Causal Discovery with Missing Data in a Multicentric Clinical Study

Alessio Zanga

Alice Bernasconi

Peter JF Lucas

Hanny Pijnenborg

Casper Reijnen

...

2023/6/5

Risk assessment of lymph node metastases in endometrial cancer patients: a causal approach

arXiv preprint arXiv:2305.10041

Alessio Zanga

Alice Bernasconi

Peter JF Lucas

Hanny Pijnenborg

Casper Reijnen

...

2023/5/17

Towards a Transportable Causal Network Model Based on Observational Healthcare Data

arXiv preprint arXiv:2311.08427

Alice Bernasconi

Alessio Zanga

Peter JF Lucas

Marco Scutari Fabio Stella

2023/11/13

ParaGnosis: A Tool for Parallel Knowledge Compilation

Giso H Dal

Alfons Laarman

Peter JF Lucas

2023/4/26

Deep neural networks for explainable feature extraction in orchid identification

Applied Intelligence

Diah Harnoni Apriyanti

Luuk J Spreeuwers

Peter JF Lucas

2023/11

The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study

A Zanga

A Bernasconi

P Lucas

H Pijnenborg

C Reijnen

...

2023

Improved preoperative risk stratification in endometrial carcinoma patients: external validation of the ENDORISK Bayesian network model in a large population-based case series

Journal of Cancer Research and Clinical Oncology

Marcel Grube

Casper Reijnen

Peter JF Lucas

Frieder Kommoss

Felix KF Kommoss

...

2023/7

Visual assistance in development and validation of bayesian networks for clinical decision support

IEEE transactions on visualization and computer graphics

Juliane Müller-Sielaff

Seyed Behnam Beladi

Stephanie W Vrede

Monique Meuschke

Peter JF Lucas

...

2022/4/8

User-centered Development of a Clinical Decision Support System

SMARTERCARE 2021: Towards Smarter Health Care: Can Artificial Intelligence Help?

Anna Kleinau

Alex Mo

Juliane Müller-Sielaff

Johanna M. A. Pijnenborg

Peter J. F. Lucas

...

2021

A compositional approach to probabilistic knowledge compilation

International Journal of Approximate Reasoning

Giso H Dal

Alfons W Laarman

Arjen Hommersom

Peter JF Lucas

2021/11/1

Automated color detection in orchids using color labels and deep learning

PloS one

Diah Harnoni Apriyanti

Luuk J Spreeuwers

Peter JF Lucas

Raymond NJ Veldhuis

2021/10/27

113 Improved preoperative risk stratification in endometrial cancer: External validation of the ENDORISK network model in a population-based case series

M Grube

C Reijnen

PJ Lucas

F Kommoss

FK Kommoss

...

2021/10/1

Towards Smarter Health Care: Can Artificial Intelligence Help?

Peter JF Lucas

Fabio A Stella

2021

A privacy-preserving Bayesian network model for personalised COVID19 risk assessment and contact tracing

MedRxiv

Norman E Fenton

Scott McLachlan

Peter Lucas

Kudakwashe Dube

Graham A Hitman

...

2020/7/19

Temporal exceptional model mining using dynamic Bayesian networks

Marcos LP Bueno

Arjen Hommersom

Peter JF Lucas

2020

The thorny problems of Covid-19 Contact Tracing Apps: The need for a holistic approach

Journal of Behavioral Economics for Policy

Magda Osman

N Fenton

Scott McLachlan

Peter Lucas

Kudakwashe Dube

...

2020/6/29

The fundamental limitations of COVID-19 contact tracing methods and how to resolve them with a Bayesian network approach

London, UK

Scott McLachlan

Peter Lucas

Kudakwashe Dube

Graham Scott McLachlan

Graham A Hitman

...

2020

Preoperative endometrial cancer risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: an ENITEC development and external validation study

C Reijnen

E Gogou

NCM Visser

H Engerud

J Ramjith

...

2020

Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study

PLoS medicine

Casper Reijnen

Evangelia Gogou

Nicole CM Visser

Hilde Engerud

Jordache Ramjith

...

2020/5/15

Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing?

arXiv preprint arXiv:2005.06621

Scott McLachlan

Peter Lucas

Kudakwashe Dube

Graham A Hitman

Magda Osman

...

2020/5/8

See List of Professors in Peter Lucas University(Radboud Universiteit)

Co-Authors

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