Dirk Loeckx

2.7k citations
67 papers · 1.4k · h-index 21

Impact in

Papers in

Dirk Loeckx

67 papers receiving 1.4k citations

Peers

Dirk Loeckx
Comparison fields: 5 of 108
  • Radiology, Nuclear Medicine and Imaging 484
  • Computer Vision and Pattern Recognition 462
  • Cardiology and Cardiovascular Medicine 202
  • Neurology 55
  • Pulmonary and Respiratory Medicine 197
Replace Kazuhiro Katada with:
Kazuhiro Katada Japan
June‐Goo Lee South Korea
Xavier Morandi France
Tobias Heimann Germany
Vikram Chalana United States
George Nikiforidis Greece
Frank Lindseth Norway
Guk Bae Kim South Korea
Parvin Mousavi Canada
Eigil Samset Norway
Dirk Loeckx relative to Kazuhiro Katada Japan Kazuhiro Katada's profile →
Citations per field
00.5×4.3×
Kazuhiro Katada · 1×
Citations per year

Countries citing papers authored by Dirk Loeckx

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Loeckx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dirk Loeckx, 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 Dirk Loeckx Line = papers co-authored together Dirk Loeckx links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010181
2 2008149
3 2008114
4 200996
5 200767
6 200660
7 202254
8 200854
9 200947
10 200845
11 200937
12 201235
13
Landmark based liver segmentation using local shape and local intensity models
200734
14 201131
15 201129
16 201029
17 200329
18
Atlas based liver segmentation using nonrigid registration with a B-spline transformation model
200725
19 201024
20 201821

About Dirk Loeckx

Dirk Loeckx is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (26 papers), Medical Imaging Techniques and Applications (15 papers), Cardiovascular Function and Risk Factors (13 papers), Medical Imaging and Analysis (8 papers), Cardiac Imaging and Diagnostics (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Image and Object Detection Techniques (7 papers) and Elasticity and Material Modeling (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (484 citations), Computer Vision and Pattern Recognition (462 citations), Cardiology and Cardiovascular Medicine (202 citations), Neurology (55 citations) and Pulmonary and Respiratory Medicine (197 citations). Dirk Loeckx has collaborated with scholars based in Belgium, Norway and United States. Frequent co-authors include Paul Suetens, Frederik Maes, Dirk Vandermeulen, Pieter Slagmolen, Walter Coudyzer, Sigrid Stroobants, Dieter Seghers, Piet Claus, Jan D’hooge and Dirk Smeets. Their work appears in journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science, Medical Physics, Acta Oncologica and Journal of Pain Research.

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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