Merel Huisman

2.3k total citations · 1 hit paper
36 papers, 883 citations indexed

About

Merel Huisman is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Health Informatics. According to data from OpenAlex, Merel Huisman has authored 36 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Biomedical Engineering and 16 papers in Health Informatics. Recurrent topics in Merel Huisman's work include Artificial Intelligence in Healthcare and Education (16 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced X-ray and CT Imaging (9 papers). Merel Huisman is often cited by papers focused on Artificial Intelligence in Healthcare and Education (16 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced X-ray and CT Imaging (9 papers). Merel Huisman collaborates with scholars based in Netherlands, Germany and Italy. Merel Huisman's co-authors include Maurice A. A. J. van den Bosch, Helena M. Verkooijen, Marco van Vulpen, Yvette M. van der Linden, Joost W. Wijlemans, Robbert J. Nijenhuis, Daniel Pinto dos Santos, Domenico Mastrodicasa, Tim Leiner and Dominik Fleischmann and has published in prestigious journals such as PLoS ONE, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Merel Huisman

31 papers receiving 868 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2025 24 citations Elmar Kotter, Tugba Akinci D’Antonoli et al. Insights into Imaging profile →

Peers

Countries citing papers authored by Merel Huisman

Since Specialization

Citations

This map shows the geographic impact of Merel Huisman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Merel Huisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merel Huisman more than expected).

Fields of papers citing papers by Merel Huisman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Merel Huisman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Merel Huisman. The network helps show where Merel Huisman may publish in the future.

Co-authorship network of co-authors of Merel Huisman

This figure shows the co-authorship network connecting the top 25 collaborators of Merel Huisman. A scholar is included among the top collaborators of Merel Huisman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Merel Huisman. Merel Huisman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	AI medical device post-market surveillance regulations: consensus recommendations by the European Society of Radiology 2025 ·Insights into Imaging ·Renato Cuocolo, David Bernardini, Daniel Pinto dos Santos, Michail E. Klontzas, Tugba Akinci D’Antonoli, Luís Curvo‐Semedo, (unknown), Merel Huisman, Elmar Kotter, Luis Martí‐Bonmatí, (unknown), (unknown), Konstantin Nikolaou, Maija Radziņa, Evis Sala, Susan C. Shelmerdine, (unknown), Michelle C. Williams, (unknown)	0
2	ESR Essentials: common performance metrics in AI—practice recommendations by the European Society of Medical Imaging Informatics 2025 ·European Radiology ·Michail E. Klontzas, (unknown), Tugba Akinci D’Antonoli, Anna Andreychenko, Renato Cuocolo, Matthias Dietzel, Salvatore Gitto, (unknown), João Santinha, Federica Vernuccio, Jacob J. Visser, Merel Huisman	2
3	Reproducibility of methodological radiomics score (METRICS): an intra- and inter-rater reliability study endorsed by EuSoMII 2025 ·European Radiology ·Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Burak Koçak, Alessandra Borgheresi, Andrea Ponsiglione, Arnaldo Stanzione, (unknown), Fabio Martino Doniselli, Federica Vernuccio, Lorenzo Ugga, (unknown), Merel Huisman, Michail E. Klontzas, (unknown), Roberto Cannella, Salvatore Claudio Fanni, Renato Cuocolo	5
4	Radiology AI and sustainability paradox: environmental, economic, and social dimensions 2025 ·Insights into Imaging ·Burak Koçak, Andrea Ponsiglione, Valeria Romeo, Lorenzo Ugga, Merel Huisman, Renato Cuocolo	9
5	Economic Value of AI in Radiology: A Systematic Review 2025 ·Radiology Artificial Intelligence ·Isabel Molwitz, (unknown), Jennifer Erley, Tugba Akinci D’Antonoli, Ali S. Tejani, Michail E. Klontzas, Merel Huisman, (unknown), Stephan Nüesch, Lisa C. Adams	0
6	Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA 2025 ·Radiology ·Domenico Mastrodicasa, Marly van Assen, Merel Huisman, Tim Leiner, Eric E. Williamson, Edward Nicol, Bradley D. Allen, Luca Saba, Rozemarijn Vliegenthart, Kate Hanneman	12
7	Doing good science in the age of large language models: CARE framework for radiology AI 2025 ·Satvik Tripathi, Merel Huisman, Tessa S. Cook	0
8	Guiding AI in radiology: ESR’s recommendations for effective implementation of the European AI Act breakdown → 2025 ·Insights into Imaging ·Elmar Kotter, Tugba Akinci D’Antonoli, Renato Cuocolo, Monika Hierath, Merel Huisman, Michail E. Klontzas, Luis Martí‐Bonmatí, Matthias May, (unknown), Konstantin Nikolaou, Daniel Pinto dos Santos, Maija Radziņa, Susan C. Shelmerdine, (unknown), (unknown)	24
9	Recommendations for the creation of benchmark datasets for reproducible artificial intelligence in radiology 2024 ·Insights into Imaging ·(unknown), Rozemarijn Vliegenthart, João Santinha, Michail E. Klontzas, Renato Cuocolo, Merel Huisman, Peter M. A. van Ooijen	9
10	CT and MRI radiomics of bone and soft-tissue sarcomas: an updated systematic review of reproducibility and validation strategies 2024 ·Insights into Imaging ·Salvatore Gitto, Renato Cuocolo, Merel Huisman, Carmelo Messina, Domenico Albano, Patrick Omoumi, Elmar Kotter, Mario Maas, Peter M. A. van Ooijen, Luca Maria Sconfienza	17
11	Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI 2024 ·European Radiology ·(unknown), Miranda L. van Hooff, Bram van Ginneken, Merel Huisman, Matthieu Rutten, (unknown), Nikolas Leßmann, Marinus de Kleuver	4
12	A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative 2023 ·PLoS ONE ·(unknown), (unknown), (unknown), Ana Jiménez-Pastor, Jacob J. Visser, Merel Huisman, Julien Guiot, Geerard L. Beets, Ángel Alberich‐Bayarri, (unknown), Erik Ranschaert, (unknown)	6
13	An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude 2021 ·European Radiology ·Merel Huisman, Erik Ranschaert, William Parker, Domenico Mastrodicasa, Martin Kočí, Daniel Pinto dos Santos, Francesca Coppola, Sergey Morozov, Marc Zins, Cedric Bohyn, Ural Koç, Jie Wu, (unknown), Dominik Fleischmann, Tim Leiner, Martin J. Willemink	143
14	An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education 2021 ·European Radiology ·Merel Huisman, Erik Ranschaert, William Parker, Domenico Mastrodicasa, Martin Kočí, Daniel Pinto dos Santos, Francesca Coppola, Sergey Morozov, Marc Zins, Cedric Bohyn, Ural Koç, Jie Wu, (unknown), Dominik Fleischmann, Tim Leiner, Martin J. Willemink	91
15	Model-based Prediction of Critical Illness in Hospitalized Patients with COVID-19 2020 ·Radiology ·Steven Schalekamp, Merel Huisman, Rogier A. van Dijk, Martijn F. Boomsma, (unknown), (unknown), (unknown), (unknown), (unknown), Eefje Jong, Anton Schreuder, Cornelia Schaefer‐Prokop	57
16	Non-Invasive Targeted Peripheral Nerve Ablation Using 3D MR Neurography and MRI-Guided High-Intensity Focused Ultrasound (MR-HIFU): Pilot Study in a Swine Model 2015 ·PLoS ONE ·Merel Huisman, Robert Staruch, (unknown), (unknown), Dennis K. Burns, Avneesh Chhabra, Rajiv Chopra	20
17	Quality of MR thermometry during palliative MR-guided high-intensity focused ultrasound (MR-HIFU) treatment of bone metastases 2015 ·Journal of Therapeutic Ultrasound ·(unknown), Merel Huisman, Robbert J. Nijenhuis, (unknown), Max A. Viergever, Chrit Moonen, Lambertus W. Bartels	27
18	Registration of CT to pre-treatment MRI for planning of MR-HIFU ablation treatment of painful bone metastases 2014 ·Physics in Medicine and Biology ·(unknown), Lambertus W. Bartels, Merel Huisman, Robbert J. Nijenhuis, Maurice A. A. J. van den Bosch, Josien P. W. Pluim	11
19	Feasibility of volumetric MRI-guided high intensity focused ultrasound (MR-HIFU) for painful bone metastases 2014 ·Journal of Therapeutic Ultrasound ·Merel Huisman, (unknown), Lambertus W. Bartels, Robbert J. Nijenhuis, Chrit Moonen, (unknown), Helena M. Verkooijen, Marco van Vulpen, (unknown)	61
20	Endovascular treatment of a patient with an aneurysm of the proper hepatic artery and a duodenal fistula 2011 ·Journal of Vascular Surgery ·Merel Huisman, Maurice A. A. J. van den Bosch, Erik Mooiweer, I. Quintus Molenaar, Joost A. van Herwaarden	6

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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