Mathieu Hatt

14.5k total citations · 3 hit papers
163 papers, 7.0k citations indexed

About

Mathieu Hatt is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Mathieu Hatt has authored 163 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Pulmonary and Respiratory Medicine and 36 papers in Biomedical Engineering. Recurrent topics in Mathieu Hatt's work include Radiomics and Machine Learning in Medical Imaging (132 papers), Medical Imaging Techniques and Applications (96 papers) and Advanced X-ray and CT Imaging (35 papers). Mathieu Hatt is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (132 papers), Medical Imaging Techniques and Applications (96 papers) and Advanced X-ray and CT Imaging (35 papers). Mathieu Hatt collaborates with scholars based in France, Canada and Belgium. Mathieu Hatt's co-authors include Dimitris Visvikis, Catherine Cheze Le Rest, Florent Tixier, Olivier Pradier, Laurent Corcos, N. Albarghach, Ulrike Schick, Catherine Cheze‐Le Rest, Jean‐Philippe Metges and François Lucia and has published in prestigious journals such as PLoS ONE, Cancer and Proceedings of the IEEE.

In The Last Decade

Mathieu Hatt

160 papers receiving 7.0k citations

Hit Papers

Intratumor Heterogeneity Characterized by Textural Featur... 2011 2026 2016 2021 2011 2014 2016 100 200 300 400 500
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.

  1. Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer
    2011 574 citations Florent Tixier, Catherine Cheze Le Rest et al. Journal of Nuclear Medicine profile →
  2. 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, Martin Vallières et al. Journal of Nuclear Medicine profile →
  3. Characterization of PET/CT images using texture analysis: the past, the present… any future?
    2016 353 citations Mathieu Hatt, Florent Tixier et al. European Journal of Nuclear Medicine and Molecular Imaging profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Hatt France 46 6.4k 2.1k 1.6k 1.0k 678 163 7.0k
Henry C. Woodruff Netherlands 35 5.5k 0.9× 2.2k 1.1× 1.5k 0.9× 1.0k 1.0× 1.1k 1.6× 104 6.8k
Emmanuel Rios Velazquez United States 20 6.6k 1.0× 3.0k 1.4× 1.9k 1.2× 1.3k 1.2× 1.3k 1.8× 32 7.4k
Frank Hoebers Netherlands 37 4.8k 0.8× 2.7k 1.3× 1.2k 0.8× 1.5k 1.4× 780 1.2× 147 7.5k
Sara Carvalho Netherlands 17 8.9k 1.4× 3.5k 1.7× 2.5k 1.5× 1.7k 1.7× 1.5k 2.2× 37 9.9k
Johan van Soest Netherlands 22 4.2k 0.7× 1.7k 0.8× 1.1k 0.7× 998 1.0× 944 1.4× 79 5.3k
Patrick Großmann United States 17 6.8k 1.1× 3.1k 1.5× 2.0k 1.2× 1.4k 1.3× 1.4k 2.1× 31 7.9k
Catharina M.L. Zegers Netherlands 22 4.5k 0.7× 1.8k 0.9× 1.2k 0.7× 956 0.9× 644 0.9× 56 5.5k
Janita E. van Timmeren Netherlands 22 5.5k 0.9× 2.2k 1.1× 1.6k 1.0× 1.1k 1.1× 887 1.3× 49 6.3k
D. Rietveld Netherlands 21 4.4k 0.7× 2.4k 1.2× 1.1k 0.7× 1.3k 1.2× 815 1.2× 34 6.2k
Ruud G.P.M. van Stiphout Netherlands 17 4.4k 0.7× 1.9k 0.9× 1.1k 0.7× 1.4k 1.4× 700 1.0× 22 5.6k

Countries citing papers authored by Mathieu Hatt

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Hatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Hatt

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Hatt. A scholar is included among the top collaborators of Mathieu Hatt 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 Mathieu Hatt. Mathieu Hatt 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.
Marion, Jean-Marie, et al.. (2025). Reconstruction-based approach for chest X-ray image segmentation and enhanced multi-label chest disease classification. Artificial Intelligence in Medicine. 165. 103135–103135. 1 indexed citations
2.
Marion, Jean-Marie, et al.. (2024). Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14. Computer Methods and Programs in Biomedicine. 259. 108518–108518. 11 indexed citations
3.
Marion, Jean-Marie, et al.. (2024). A Systematic Review: Classification of Lung Diseases from Chest X-Ray Images Using Deep Learning Algorithms. SN Computer Science. 5(4). 4 indexed citations
4.
Marion, Jean-Marie, et al.. (2023). Enhancing histopathological image classification of invasive ductal carcinoma using hybrid harmonization techniques. Scientific Reports. 13(1). 6 indexed citations
5.
Marion, Jean-Marie, et al.. (2023). Deep Learning-Based Outcome Prediction Using Harmonized CT Images for Head and Neck Cancer Patients: A Novel Approach with Attention and DeepHitSingle. SPIRE - Sciences Po Institutional REpository. 1–2. 1 indexed citations
6.
Guillamo, Jean‐Sébastien, Ararat Chakhoyan, Jean‐Marc Constans, et al.. (2021). Simultaneous Mapping of Vasculature, Hypoxia, and Proliferation Using Dynamic Susceptibility Contrast MRI, 18F-FMISO PET, and 18F-FLT PET in Relation to Contrast Enhancement in Newly Diagnosed Glioblastoma. Journal of Nuclear Medicine. 62(10). 1349–1356. 16 indexed citations
7.
Frau, Lucia, Vincent Bourbonne, Gurvan Dissaux, et al.. (2020). Radiomics Analysis of 3D Dose Distributions to Predict Toxicity of Radiotherapy for Cervical Cancer. International Journal of Radiation Oncology*Biology*Physics. 108(3). e474–e474. 3 indexed citations
8.
Bourbonne, Vincent, Ronrick Da‐ano, Vincent Jaouen, et al.. (2020). Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for lung cancer. Radiotherapy and Oncology. 155. 144–150. 45 indexed citations
9.
Da‐ano, Ronrick, Dimitris Visvikis, & Mathieu Hatt. (2020). Harmonization strategies for multicenter radiomics investigations. Physics in Medicine and Biology. 65(24). 24TR02–24TR02. 104 indexed citations
10.
11.
Dissaux, Gurvan, Dimitris Visvikis, Ronrick Da‐ano, et al.. (2019). Pretreatment 18F-FDG PET/CT Radiomics Predict Local Recurrence in Patients Treated with Stereotactic Body Radiotherapy for Early-Stage Non–Small Cell Lung Cancer: A Multicentric Study. Journal of Nuclear Medicine. 61(6). 814–820. 137 indexed citations
12.
Visvikis, Dimitris, Catherine Cheze Le Rest, Vincent Jaouen, & Mathieu Hatt. (2019). Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications. European Journal of Nuclear Medicine and Molecular Imaging. 46(13). 2630–2637. 97 indexed citations
13.
Hatt, Mathieu, Florent Tixier, Marie-Charlotte Desseroit, et al.. (2019). Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: influence of segmentation methods on 18F-FDG PET/CT images. Scientific Reports. 9(1). 14925–14925. 5 indexed citations
14.
Upadhaya, Taman, Martin Vallières, Avishek Chatterjee, et al.. (2018). Comparison of Radiomics Models Built Through Machine Learning in a Multicentric Context With Independent Testing: Identical Data, Similar Algorithms, Different Methodologies. IEEE Transactions on Radiation and Plasma Medical Sciences. 3(2). 192–200. 19 indexed citations
15.
Jaouen, Vincent, Julien Bert, Nicolas Boussion, et al.. (2018). Image Enhancement With PDEs and Nonconservative Advection Flow Fields. IEEE Transactions on Image Processing. 28(6). 3075–3088. 15 indexed citations
16.
Grootjans, Willem, Wim J.G. Oyen, Erik H.F.M. van der Heijden, et al.. (2016). Performance of automatic image segmentation algorithms for calculating total lesion glycolysis for early response monitoring in non-small cell lung cancer patients during concomitant chemoradiotherapy. Radiotherapy and Oncology. 119(3). 473–479. 13 indexed citations
17.
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
18.
Pogam, Adrien Le, et al.. (2013). Denoising of PET images by combining wavelets and curvelets for improved preservation of resolution and quantitation. Medical Image Analysis. 17(8). 877–891. 53 indexed citations
19.
Hatt, Mathieu, Catherine Cheze‐Le Rest, Olivier Pradier, & Dimitris Visvikis. (2011). Impact of tumor size and tracer uptake heterogeneity in 18F-FDG PET and CT Non-Small Cell Lung Cancer tumor delineation. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
20.
Boussion, Nicolas, Mathieu Hatt, F. Lamare, et al.. (2006). A multiresolution image based approach for correction of partial volume effects in emission tomography. Physics in Medicine and Biology. 51(7). 1857–1876. 89 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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