Antoine Martineau

1.2k total citations · 1 hit paper
22 papers, 900 citations indexed

About

Antoine Martineau is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Antoine Martineau has authored 22 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cancer Research and 7 papers in Biomedical Engineering. Recurrent topics in Antoine Martineau's work include Medical Imaging Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced X-ray and CT Imaging (7 papers). Antoine Martineau is often cited by papers focused on Medical Imaging Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced X-ray and CT Imaging (7 papers). Antoine Martineau collaborates with scholars based in France, United States and Switzerland. Antoine Martineau's co-authors include David Groheux, Elif Hindié, Mathieu Hatt, Dimitris Visvikis, Catherine Cheze Le Rest, Marc Espié, Mohamed Majdoub, Florent Tixier, Pascal Merlet and Olivier Pradier and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Antoine Martineau

21 papers receiving 890 citations

Hit Papers

align trajectories

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.

¹⁸F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort

2014 361 citations Mathieu Hatt, Mohamed Majdoub et al. Journal of Nuclear Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antoine Martineau France	12	788	203	203	186	139	22	900
Xiaorong Sun China	18	544 0.7×	335 1.7×	175 0.9×	90 0.5×	250 1.8×	73	940
Christiane Marx Germany	14	381 0.5×	127 0.6×	166 0.8×	96 0.5×	109 0.8×	18	656
Amy Lynn Conners United States	16	524 0.7×	288 1.4×	59 0.3×	215 1.2×	136 1.0×	48	731
Diego A.S. Toesca United States	15	336 0.4×	225 1.1×	84 0.4×	78 0.4×	198 1.4×	41	717
Ieva Kurilova Netherlands	10	398 0.5×	279 1.4×	84 0.4×	54 0.3×	322 2.3×	16	676
Belinda Curpen Canada	17	478 0.6×	85 0.4×	100 0.5×	227 1.2×	205 1.5×	49	837
Danny F. Martinez United States	16	700 0.9×	119 0.6×	42 0.2×	90 0.5×	108 0.8×	37	824
Hanna Sartor Sweden	14	338 0.4×	323 1.6×	61 0.3×	164 0.9×	235 1.7×	35	751
M. Meier-Meitinger Germany	13	161 0.2×	170 0.8×	62 0.3×	142 0.8×	92 0.7×	28	432

Countries citing papers authored by Antoine Martineau

Since Specialization

Citations

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

Fields of papers citing papers by Antoine Martineau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antoine Martineau

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

All Works

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20 of 20 papers shown

Groheux, David, Antoine Martineau, Luís Teixeira, et al.. (2025). FDG-PET/CT and Multimodal Machine Learning Model Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Cancers. 17(7). 1249–1249. 3 indexed citations

Groheux, David, Antoine Martineau, Luís Teixeira, et al.. (2022). Multimodal machine learning model prediction of complete pathological response to neoadjuvant chemotherapy in triple-negative breast cancer.. Journal of Clinical Oncology. 40(16_suppl). 601–601. 2 indexed citations

Fitton, Isabelle, et al.. (2019). Experimental evaluation of seven quality control phantoms for digital breast tomosynthesis. Physica Medica. 57. 137–144. 10 indexed citations

Groheux, David, Antoine Martineau, Luís Teixeira, et al.. (2017). 18FDG-PET/CT for predicting the outcome in ER+/HER2- breast cancer patients: comparison of clinicopathological parameters and PET image-derived indices including tumor texture analysis. Breast Cancer Research. 19(1). 3–3. 63 indexed citations

Lemarignier, Charles, Antoine Martineau, Luís Teixeira, et al.. (2017). Correlation between tumour characteristics, SUV measurements, metabolic tumour volume, TLG and textural features assessed with 18F-FDG PET in a large cohort of oestrogen receptor-positive breast cancer patients. European Journal of Nuclear Medicine and Molecular Imaging. 44(7). 1145–1154. 61 indexed citations

Fitton, Isabelle, et al.. (2016). P6. Digital breast tomosynthesis: Dose and image quality assessment. Physica Medica. 32. 369–369. 2 indexed citations

Margerie‐Mellon, Constance de, C. de Bazelaire, Claire Montlahuc, et al.. (2016). Reducing Radiation Dose at Chest CT. Academic Radiology. 23(10). 1246–1254. 25 indexed citations

Groheux, David, Mohamed Majdoub, Alice Sanna, et al.. (2015). Early Metabolic Response to Neoadjuvant Treatment: FDG PET/CT Criteria according to Breast Cancer Subtype. Radiology. 277(2). 358–371. 62 indexed citations

Groheux, David, Mohamed Majdoub, Florent Tixier, et al.. (2015). Do clinical, histological or immunohistochemical primary tumour characteristics translate into different 18F-FDG PET/CT volumetric and heterogeneity features in stage II/III breast cancer?. European Journal of Nuclear Medicine and Molecular Imaging. 42(11). 1682–1691. 62 indexed citations

10.

Hatt, Mathieu, Mohamed Majdoub, Martin Vallières, et al.. (2014). ¹⁸F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort. Journal of Nuclear Medicine. 56(1). 38–44. 361 indexed citations breakdown →

11.

Groheux, David, Mathieu Hatt, Elif Hindié, et al.. (2013). Estrogen receptor‐positive/human epidermal growth factor receptor 2‐negative breast tumors. Cancer. 119(11). 1960–1968. 47 indexed citations

12.

Geworski, Lilli, Ludovic Ferrer, Marjolaine Fourcade, et al.. (2013). Calibration Test of PET Scanners in a Multi-Centre Clinical Trial on Breast Cancer Therapy Monitoring Using 18F-FLT. PLoS ONE. 8(3). e58152–e58152. 11 indexed citations

13.

Hatt, Mathieu, David Groheux, Antoine Martineau, et al.. (2013). Comparison Between ¹⁸F-FDG PET Image–Derived Indices for Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer. Journal of Nuclear Medicine. 54(3). 341–349. 73 indexed citations

14.

Groheux, David, Mathieu Hatt, Antoine Martineau, et al.. (2013). Prédiction de la réponse a la chimiothérapie néoadjuvante du cancer du sein de phénotype luminal : apport du volume glycolytique total. Médecine Nucléaire. 37(5). 137–137.

15.

Farid, Karim, Marie‐Odile Habert, Antoine Martineau, Nadine Caillat‐Vigneron, & Igor Sibon. (2011). CT Nonuniform Attenuation and TEW Scatter Corrections in Brain Tc-99m ECD SPECT. Clinical Nuclear Medicine. 36(8). 665–668. 6 indexed citations

16.

Stute, Simon, Thomas Carlier, Antoine Martineau, et al.. (2011). Monte Carlo simulations of clinical PET and SPECT scans: impact of the input data on the simulated images. Physics in Medicine and Biology. 56(19). 6441–6457. 25 indexed citations

17.

Stute, Simon, Didier Benoit, Antoine Martineau, Niklas Rehfeld, & Irène Buvat. (2011). A method for accurate modelling of the crystal response function at a crystal sub-level applied to PET reconstruction. Physics in Medicine and Biology. 56(3). 793–809. 14 indexed citations

18.

Martineau, Antoine, Jean-Marie Rocchisani, & Jean‐Luc Moretti. (2010). Coded aperture optimization using Monte Carlo simulations. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 616(1). 75–80. 18 indexed citations

19.

Groheux, David, Antoine Martineau, Jean‐Marc Vrigneaud, et al.. (2009). Effect of variation in relaxation parameter value on LOR-RAMLA reconstruction of 18F-FDG PET studies. Nuclear Medicine Communications. 30(12). 926–933. 4 indexed citations

20.

Dechsupa, Nathupakorn, S. Kothan, Jackie Vergote, et al.. (2007). Quercetin, Siamois 1 and siamois 2 induce apoptosis in human breast cancer MDA-MB-435 cells xenograft in vivo. Cancer Biology & Therapy. 6(1). 56–61. 43 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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