Thomas Grenier

47 papers receiving 1.1k citations

Thomas Grenier's Hit Papers

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography 2019 · 539 citations
5390+2+4Years since publication100200300400500

Peers

Thomas Grenier
Comparison fields: 5 of 82
  • Health Informatics 186
  • Computer Vision and Pattern Recognition 598
  • Structural Biology 53
  • Health Information Management 114
  • Radiology, Nuclear Medicine and Imaging 134
Replace Lisa Margret Koch with:
Lisa Margret Koch Switzerland
Mohammed Yusuf Ansari Qatar
Seda Arslan Tuncer Türkiye
Lucas Fidon United Kingdom
Benjamin Hou United Kingdom
Dzhoshkun I. Shakir United Kingdom
Ghislain Vaillant United Kingdom
Mehran Pesteie Canada
Marcel Beetz United Kingdom
Thomas Grenier relative to Lisa Margret Koch Switzerland Lisa Margret Koch's profile →
Citations per field
00.5×1.5×
Lisa Margret Koch · 1×
Citations per year

Countries citing papers authored by Thomas Grenier

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Grenier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography
Hit paper breakdown →
2019539
2 202083
3 202052
4 202044
5 201939
6 202239
7 201737
8 202025
9 201823
10 202223
11 201921
12
Unifying variational approach and region growing segmentation
201013
13 201812
14 202312
15 202211
16 202211
17 200610
18 200610
19 201510
20 20209

About Thomas Grenier

Thomas Grenier is a scholar working on Computer Vision and Pattern Recognition, Structural Biology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Health Informatics, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (20 papers), Image and Signal Denoising Methods (6 papers), Advanced Electron Microscopy Techniques and Applications (5 papers), Multiple Sclerosis Research Studies (4 papers), Explainable Artificial Intelligence (XAI) (3 papers), Advanced MRI Techniques and Applications (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Health Informatics (186 citations), Computer Vision and Pattern Recognition (598 citations), Structural Biology (53 citations), Health Information Management (114 citations) and Radiology, Nuclear Medicine and Imaging (134 citations). Thomas Grenier has collaborated with scholars based in France, Canada and Norway. Frequent co-authors include Olivier Bernard, Sarah Leclerc, Carole Lartizien, Lasse Løvstakken, Pierre‐Marc Jodoin, Frédéric Cervenansky, Torvald Espeland, Thierry Épicier, Chantal Revol-Muller and Christophe Ducottet. Their work appears in journals such as Scientific Reports, Microscopy and Microanalysis, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, IEEE Transactions on Medical Imaging and Medicine & Science in Sports & Exercise.

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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