Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Merel Huisman

Radiologist

Radboud University Medical Center

Netherlands

Research Interests

Explore related searches

Professors in Netherlands Professors in Medical Imaging Medical Imaging professors in Netherlands

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Collaborators (17)

João Santinha

Principal Investigator

Champalimaud Foundation

PORTUGAL

View details

Inka Ristow

University Medical Center Hamburg-Eppendorf

GERMANY

View details

Hendrik Erenstein

Lecturer - Researcher

Hanze University of Applied Sciences

NETHERLANDS

View details

Isabel Molwitz

Attending

University Medical Center Hamburg-Eppendorf

GERMANY

View details

Marly van Assen

Emory University

UNITED STATES

View details

Peter van Ooijen

Scientific Staff

University Medical Center Groningen

NETHERLANDS

View details

Kate Hanneman

CANADA

View details

Ricardo Gonzales

Lund University

SWEDEN

View details

Jacob J. Visser

Erasmus University Rotterdam

NETHERLANDS

View details

Florence Xini Doo

Co-Lead, AI-Enabled Medical Imaging, Center for Applied AI

University of Maryland Medical Center

UNITED STATES

View details

Domenico Mastrodicasa

University of Washington

UNITED STATES

View details

Renato Cuocolo

Associate Professor

University of Salerno

ITALY

View details

Fabio Martino Doniselli

Neuroradiologist & Researcher (Non-academic)

Fondazione IRCCS Istituto Neurologico Carlo Besta

ITALY

View details

Andrea Ponsiglione

ITALY

View details

Martijn Pieter Anton Starmans

Assistant Professor AI for Integrated Diagnostics

Erasmus University Rotterdam

NETHERLANDS

View details

Maarten IJzerman

Full professor

Erasmus University Rotterdam

NETHERLANDS

View details

Michail Klontzas

Assistant Professor of Radiology - Oncological Imaging

University of Crete

GREECE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Merel Huisman

Research Interests

Explore related searches

Articles (20)

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): Explanation, Elaboration, and Examples

Effect of Deep Learning Training Policy on Greenhouse Gas Emissions and Carbon Efficiency for Chest Radiograph Classification

Economic Value of AI in Radiology: A Systematic Review

Real-World Imaging Data: Opportunities and Challenges

Highlights of the Society for Cardiovascular Magnetic Resonance 2025 conference: Leading the way to accessible, efficient, and sustainable cardiovascular magnetic resonance

ESR Essentials: common performance metrics in AI—practice recommendations by the European Society of Medical Imaging Informatics

Radiology AI and sustainability paradox: environmental, economic, and social dimensions

Recognising errors in AI implementation in radiology

Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA

Equitable and sustainable AI in health in LIMCs: strengthening local systems, not imposing solutions

Artificial Intelligence to Boost Vascular Enhancement and Minimize the Environmental Impact of CT

LLMs for Radiology Reports: From General Purpose to Lightweight Domain Adaptation

Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

ESR Essentials: a step-by-step guide of segmentation for radiologists—practice recommendations by the European Society of Medical Imaging Informatics

Guiding AI in radiology: ESR’s recommendations for effective implementation of the European AI Act

Reproducibility of methodological radiomics score (METRICS): an intra- and inter-rater reliability study endorsed by EuSoMII

ESR Essentials: how to get to valuable radiology AI: the role of early health technology assessment—practice recommendations by the European Society of Medical Imaging Informatics

Recommendations for the creation of benchmark datasets for reproducible artificial intelligence in radiology

Pearls and Pitfalls for LLMs 2.0

When AUC-ROC and accuracy are not accurate: what everyone needs to know about evaluating artificial intelligence in radiology

Collaborators (17)

João Santinha

Inka Ristow

Hendrik Erenstein

Isabel Molwitz

Marly van Assen

Peter van Ooijen

Kate Hanneman

Ricardo Gonzales

Jacob J. Visser

Florence Xini Doo

Domenico Mastrodicasa

Renato Cuocolo

Fabio Martino Doniselli

Andrea Ponsiglione

Martijn Pieter Anton Starmans

Maarten IJzerman

Michail Klontzas

Make your next move.