Michaël Aertsen

3.8k citations
73 papers · 2.6k · 3 hit papers · h-index 19

Impact in

Papers in

Michaël Aertsen

66 papers receiving 2.5k citations

Michaël Aertsen's Hit Papers

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks 2019 · 464 citations
4640+2+5Years since publication200400600

Peers

Michaël Aertsen
Comparison fields: 5 of 140
  • Health Informatics 61
  • Computer Vision and Pattern Recognition 874
  • Radiology, Nuclear Medicine and Imaging 702
  • Neurology 237
  • Pediatrics, Perinatology and Child Health 514
Replace Tom Doel with:
Tom Doel United Kingdom
María Alejandra Zuluaga France
Premal Amrishkumar Patel United Kingdom
Jie‐Zhi Cheng China
Martin Rajchl Canada
Jinhua Yu China
Óscar Cámara Spain
Fahmi Khalifa United States
Rosalind Pratt United Kingdom
Sara Moccia Italy
Michaël Aertsen relative to Tom Doel United Kingdom Tom Doel's profile →
Citations per field
00.5×1.5×2×2.5×
Tom Doel · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michaël Aertsen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michaël Aertsen Line = papers co-authored together Michaël Aertsen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
Hit paper breakdown →
2018654
2
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
Hit paper breakdown →
2019464
3
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Hit paper breakdown →
2018358
4 2019198
5 202196
6 201659
7 201653
8 201536
9 202035
10 202333
11 201831
12 201826
13 202126
14 201923
15 202022
16 202422
17 201520
18 201920
19 201519
20 202119

About Michaël Aertsen

Michaël Aertsen is a scholar working on Pediatrics, Perinatology and Child Health, Surgery, Public Health, Environmental and Occupational Health, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (26 papers), Domain Adaptation and Few-Shot Learning (11 papers), Spinal Dysraphism and Malformations (10 papers), Congenital Diaphragmatic Hernia Studies (9 papers), Prenatal Screening and Diagnostics (9 papers), Advanced Neural Network Applications (7 papers), Neonatal and fetal brain pathology (5 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Health Informatics (61 citations), Computer Vision and Pattern Recognition (874 citations), Radiology, Nuclear Medicine and Imaging (702 citations), Neurology (237 citations) and Pediatrics, Perinatology and Child Health (514 citations). Michaël Aertsen has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Jan A. Deprest, Tom K. Vercauteren, Sébastien Ourselin, Guotai Wang, Wenqi Li, Anna Louise David, Tom Doel, Premal Amrishkumar Patel, Rosalind Pratt and María Alejandra Zuluaga. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, Prenatal Diagnosis, American Journal of Neuroradiology, American Journal of Obstetrics and Gynecology and Medical Image Analysis.

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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