Michaël Aertsen

3.5k total citations · 3 hit papers
61 papers, 2.0k citations indexed

About

Michaël Aertsen is a scholar working on Pediatrics, Perinatology and Child Health, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michaël Aertsen has authored 61 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pediatrics, Perinatology and Child Health, 14 papers in Surgery and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michaël Aertsen's work include Fetal and Pediatric Neurological Disorders (31 papers), Prenatal Screening and Diagnostics (11 papers) and Congenital Diaphragmatic Hernia Studies (10 papers). Michaël Aertsen is often cited by papers focused on Fetal and Pediatric Neurological Disorders (31 papers), Prenatal Screening and Diagnostics (11 papers) and Congenital Diaphragmatic Hernia Studies (10 papers). Michaël Aertsen collaborates with scholars based in Belgium, United Kingdom and United States. Michaël Aertsen's co-authors include Jan Deprest, Tom Vercauteren, Sébastien Ourselin, Guotai Wang, Wenqi Li, Anna L. David, Tom Doel, Premal A. Patel, Rosalind Pratt and María A. Zuluaga and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Michaël Aertsen

55 papers receiving 1.9k citations

Hit Papers

Interactive Medical Image Segmentation Using Deep Learnin... 2018 2026 2020 2023 2018 2019 2018 100 200 300 400 500
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.

  1. Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
    2018 565 citations Guotai Wang, Premal A. Patel et al. profile →
  2. Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
    2019 355 citations Guotai Wang, Michaël Aertsen et al. profile →
  3. DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
    2018 295 citations Guotai Wang, Premal A. Patel et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michaël Aertsen Belgium 16 732 646 604 399 213 61 2.0k
Premal A. Patel United Kingdom 13 511 0.7× 407 0.6× 368 0.6× 196 0.5× 160 0.8× 57 1.5k
Marius George Linguraru United States 26 805 1.1× 853 1.3× 440 0.7× 186 0.5× 104 0.5× 209 2.3k
Tom Doel United Kingdom 10 681 0.9× 668 1.0× 504 0.8× 175 0.4× 229 1.1× 16 1.7k
María A. Zuluaga France 19 818 1.1× 705 1.1× 988 1.6× 111 0.3× 224 1.1× 76 2.4k
Xin Yang China 21 1.2k 1.6× 1.5k 2.3× 1.2k 1.9× 339 0.8× 264 1.2× 86 3.1k
Fahmi Khalifa United States 26 831 1.1× 1.4k 2.1× 517 0.9× 143 0.4× 224 1.1× 153 2.5k
Enzo Ferrante Argentina 19 563 0.8× 812 1.3× 602 1.0× 96 0.2× 206 1.0× 65 2.3k
Miguel Á. González Ballester Spain 27 522 0.7× 629 1.0× 336 0.6× 235 0.6× 77 0.4× 165 2.4k
Gemma Piella Spain 25 1.1k 1.5× 576 0.9× 345 0.6× 236 0.6× 82 0.4× 122 2.7k
Sara Moccia Italy 24 481 0.7× 684 1.1× 330 0.5× 183 0.5× 78 0.4× 106 2.0k

Countries citing papers authored by Michaël Aertsen

Since Specialization
Citations

This map shows the geographic impact of Michaël Aertsen'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 Michaël Aertsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Aertsen more than expected).

Fields of papers citing papers by Michaël Aertsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaël Aertsen. 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 Michaël Aertsen. The network helps show where Michaël Aertsen may publish in the future.

Co-authorship network of co-authors of Michaël Aertsen

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Aertsen. A scholar is included among the top collaborators of Michaël Aertsen 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 Michaël Aertsen. Michaël Aertsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Rosenblum, Jessica, Lennart Van der Veeken, Michaël Aertsen, Marije Meuwissen, & Anna Jansen. (2023). Abnormal fetal ultrasound leading to the diagnosis of ADNP syndrome. European Journal of Medical Genetics. 66(11). 104855–104855. 4 indexed citations
3.
Aertsen, Michaël, Michael Ebner, Lucas Fidon, et al.. (2023). Assessment of longitudinal brain development using super‐resolution magnetic resonance imaging following fetal surgery for open spina bifida. Ultrasound in Obstetrics and Gynecology. 62(5). 707–720. 4 indexed citations
4.
Aertsen, Michaël, Lennart Van der Veeken, Lucas Fidon, et al.. (2023). Longitudinal MRI Evaluation of Brain Development in Fetuses with Congenital Diaphragmatic Hernia around the Time of Fetal Endotracheal Occlusion. American Journal of Neuroradiology. 44(2). 205–211. 8 indexed citations
5.
Fidon, Lucas, Frederik De Keyzer, Michael Ebner, et al.. (2023). Application of Automatic Segmentation on Super-Resolution Reconstruction MR Images of the Abnormal Fetal Brain. American Journal of Neuroradiology. 44(4). 486–491. 2 indexed citations
6.
Devriendt, Koenraad, Jute Richter, Katrien Jansen, et al.. (2023). Fetal-onset Alexander disease with radiological-neuropathological correlation. Pediatric Radiology. 53(10). 2149–2153. 2 indexed citations
7.
Aertsen, Michaël, et al.. (2022). Gastrointestinal Fluid Volumes in Pediatrics: A Retrospective MRI Study. Pharmaceutics. 14(9). 1935–1935. 11 indexed citations
8.
Fidon, Lucas, Michaël Aertsen, Ernst Schwartz, et al.. (2022). Distributionally Robust Deep Learning using Hardness Weighted Sampling. arXiv (Cornell University). 1(PIPPI 2021). 1–61. 2 indexed citations
9.
Russo, Francesca Maria, Alexandra Benachi, E. Gratacós, et al.. (2022). Antenatal management of congenital diaphragmatic hernia: What's next ?. Prenatal Diagnosis. 42(3). 291–300. 13 indexed citations
10.
Joyeux, Luc, Johannes van der Merwe, Michaël Aertsen, et al.. (2022). Neuroprotection is improved by watertightness of fetal spina bifida repair in the sheep model. Ultrasound in Obstetrics and Gynecology. 61(1). 81–92. 10 indexed citations
11.
Shelmerdine, Susan C., Michaël Aertsen, Martha Dohna, et al.. (2022). Current and future funding streams for paediatric postmortem imaging: European Society of Paediatric Radiology survey results. Pediatric Radiology. 53(2). 273–281. 5 indexed citations
12.
Fidon, Lucas, Anna L. David, Andrew Melbourne, et al.. (2021). A spatio-temporal atlas of the developing fetal brain with spina bifida aperta. Open Research Europe. 1. 123–123. 5 indexed citations
13.
Luo, Xiangde, Guotai Wang, Tao Song, et al.. (2021). MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning. Medical Image Analysis. 72. 102102–102102. 75 indexed citations
14.
Eixarch, E., Luc De Catte, Philippe Demaerel, et al.. (2021). Prevalence of supratentorial anomalies assessed by magnetic resonance imaging in fetuses with open spina bifida. Ultrasound in Obstetrics and Gynecology. 59(6). 804–812. 14 indexed citations
15.
Russo, Francesca Maria, Anne‐Gaël Cordier, David Basurto, et al.. (2020). Fetal endoscopic tracheal occlusion reverses the natural history of right‐sided congenital diaphragmatic hernia: European multicenter experience. Ultrasound in Obstetrics and Gynecology. 57(3). 378–385. 30 indexed citations
16.
Lagae, Lieven, et al.. (2020). The impact of cerebral anomalies on cognitive outcome in patients with spina bifida: A systematic review. European Journal of Paediatric Neurology. 28. 16–28. 7 indexed citations
17.
Benkarim, Oualid, Michaël Aertsen, M. Pérez‐Cruz, et al.. (2019). Global and Regional Changes in Cortical Development Assessed by MRI in Fetuses with Isolated Nonsevere Ventriculomegaly Correlate with Neonatal Neurobehavior. American Journal of Neuroradiology. 40(9). 1567–1574. 14 indexed citations
18.
Aertsen, Michaël, M.C. Diogo, Steven Dymarkowski, Jan Deprest, & Daniela Prayer. (2019). Fetal MRI for dummies: what the fetal medicine specialist should know about acquisitions and sequences. Prenatal Diagnosis. 40(1). 6–17. 17 indexed citations
19.
Aertsen, Michaël, Frederik De Keyzer, Tom Vercauteren, et al.. (2018). Reliability of MR Imaging–Based Posterior Fossa and Brain Stem Measurements in Open Spinal Dysraphism in the Era of Fetal Surgery. American Journal of Neuroradiology. 40(1). 191–198. 20 indexed citations
20.
Engels, Alexander, Anne Debeer, Francesca Maria Russo, et al.. (2017). Pericardio-Amniotic Shunting for Incomplete Pentalogy of Cantrell. Fetal Diagnosis and Therapy. 41(2). 152–156. 4 indexed citations

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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