Thomas Grenier

756 total citations
39 papers, 346 citations indexed

About

Thomas Grenier is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Thomas Grenier has authored 39 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Thomas Grenier's work include Medical Image Segmentation Techniques (11 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Thomas Grenier is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Thomas Grenier collaborates with scholars based in France, United Kingdom and Canada. Thomas Grenier's co-authors include Olivier Bernard, Thierry Épicier, Sarah Leclerc, Christophe Ducottet, Lucian Roiban, Carole Lartizien, Anne‐Sophie Gay, Voichiţa Maxim, Siddardha Koneti and Andreas Østvik and has published in prestigious journals such as NeuroImage, Scientific Reports and Medicine & Science in Sports & Exercise.

In The Last Decade

Thomas Grenier

37 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Grenier France 10 140 85 65 58 43 39 346
Alain De Cesare France 11 147 1.1× 41 0.5× 66 1.0× 120 2.1× 18 0.4× 28 310
Ming Jack Po United States 6 73 0.5× 19 0.2× 38 0.6× 100 1.7× 39 0.9× 11 397
Joseph N. Stember United States 10 159 1.1× 34 0.4× 8 0.1× 65 1.1× 21 0.5× 31 340
Jason M. Tucker-Schwartz United States 14 48 0.3× 22 0.3× 45 0.7× 238 4.1× 24 0.6× 20 467
A. Bilenca Israel 17 174 1.2× 85 1.0× 11 0.2× 423 7.3× 20 0.5× 61 975
Y. Fridman United States 6 51 0.4× 181 2.1× 9 0.1× 110 1.9× 124 2.9× 10 562
Haosen Zhang United States 14 299 2.1× 16 0.2× 94 1.4× 97 1.7× 37 0.9× 34 499
Guoxun Zhang China 12 41 0.3× 35 0.4× 5 0.1× 79 1.4× 13 0.3× 29 400
S. Lebonvallet France 9 46 0.3× 193 2.3× 4 0.1× 21 0.4× 5 0.1× 17 336
Hector Dejea Switzerland 9 64 0.5× 15 0.2× 58 0.9× 61 1.1× 4 0.1× 27 240

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-authorship network of co-authors of Thomas Grenier

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Grenier. A scholar is included among the top collaborators of Thomas Grenier 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 Thomas Grenier. Thomas Grenier 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.
Viallon, Magalie, H. Ratiney, Thu Thuy Nguyen, et al.. (2025). Impact of Long‐Term Fasting on Skeletal Muscle: Structure, Energy Metabolism and Function Using 31 P/ 1 H MRS and MRI. Journal of Cachexia Sarcopenia and Muscle. 16(2). e13773–e13773. 3 indexed citations
2.
Mitton, David, et al.. (2024). Finite element models with automatic computed tomography bone segmentation for failure load computation. Scientific Reports. 14(1). 16576–16576. 3 indexed citations
3.
Grenier, Thomas, et al.. (2024). An unexpected confounder: how brain shape can be used to classify MRI scans ?. SPIRE - Sciences Po Institutional REpository.
4.
Grenier, Thomas, et al.. (2024). Explainable monotonic networks and constrained learning for interpretable classification and weakly supervised anomaly detection. Pattern Recognition. 160. 111186–111186. 1 indexed citations
5.
Wiart, Marlène, et al.. (2024). Pipeline for automatic segmentation of multiparametric MRI data in a rat model of ischemic stroke. SPIRE - Sciences Po Institutional REpository. 26–26.
6.
Chen, Enyi, et al.. (2024). Multiple sclerosis clinical forms classification with graph convolutional networks based on brain morphological connectivity. Frontiers in Neuroscience. 17. 1268860–1268860. 3 indexed citations
7.
Scheiber, Christian, et al.. (2024). CT-guided spatial normalization of nuclear hybrid imaging adapted to enlarged ventricles: Impact on striatal uptake quantification. NeuroImage. 294. 120631–120631. 1 indexed citations
8.
Grenier, Thomas, et al.. (2023). A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection. IEEE Transactions on Medical Imaging. 42(11). 3336–3347. 9 indexed citations
9.
Grenier, Thomas, et al.. (2022). Deep learning detection of nanoparticles and multiple object tracking of their dynamic evolution during in situ ETEM studies. Scientific Reports. 12(1). 2484–2484. 36 indexed citations
10.
Delignette‐Muller, Marie Laure, et al.. (2022). Deep learning in veterinary medicine, an approach based on CNN to detect pulmonary abnormalities from lateral thoracic radiographs in cats. Scientific Reports. 12(1). 11418–11418. 17 indexed citations
11.
Grenier, Thomas, et al.. (2021). A More Interpretable Classifier For Multiple Sclerosis. HAL (Le Centre pour la Communication Scientifique Directe). 1062–1066. 6 indexed citations
12.
Delom, Frédéric, Thomas Grenier, Hugues Bégueret, et al.. (2020). Patients Lung Derived Tumoroids (PLDTs) to model therapeutic response. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1867(11). 118808–118808. 6 indexed citations
13.
Fessart, Delphine, Thomas Grenier, Élodie Richard, et al.. (2020). Extracellular AGR2 triggers lung tumour cell proliferation through repression of p21CIP1. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1868(3). 118920–118920. 13 indexed citations
14.
Grenier, Thomas, Benjamin Leporq, Caroline Le Goff, et al.. (2020). Quantitative Magnetic Resonance Imaging Assessment of the Quadriceps Changes during an Extreme Mountain Ultramarathon. Medicine & Science in Sports & Exercise. 53(4). 869–881. 8 indexed citations
15.
Manet, Romain, Laurent Gergelé, Thomas Grenier, Zofia Czosnyka, & Marek Czosnyka. (2020). Development of normal pressure hydrocephalus following post-traumatic external hydrocephalus in an adult patient. British Journal of Neurosurgery. 37(4). 936–939. 1 indexed citations
16.
Grenier, Thomas, et al.. (2020). A Duplex Pipeline for the Generation of Realistic Echocardiographic Sequences with Doppler Imaging. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 1 indexed citations
17.
Koneti, Siddardha, Lucian Roiban, Florent Dalmas, et al.. (2019). Fast electron tomography: Applications to beam sensitive samples and in situ TEM or operando environmental TEM studies. Materials Characterization. 151. 480–495. 35 indexed citations
18.
Grenier, Thomas, et al.. (2019). Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy. Computers in Biology and Medicine. 110. 108–119. 2 indexed citations
19.
Grenier, Thomas, Thierry Épicier, Siddardha Koneti, et al.. (2018). Evaluation of noise and blur effects with SIRT-FISTA-TV reconstruction algorithm: Application to fast environmental transmission electron tomography. Ultramicroscopy. 189. 109–123. 21 indexed citations
20.
Camarasu-Pop, Sorina, et al.. (2010). Optimization of Mean-Shift scale parameters on the EGEE grid. Studies in health technology and informatics. 159. 203–14. 1 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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