Mathieu Hatt
Impact in
- Radiology, Nuclear Medicine and Imaging top 0.02%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 92
- Medical Imaging Techniques and Applications 60
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- Medical Image Segmentation Techniques 39
- Image and Signal Denoising Methods 4
- Co-authors
- Dimitris Visvikis (147 shared papers)Catherine Cheze Le Rest (62 shared papers)Florent Tixier (32 shared papers)Olivier Pradier (35 shared papers)Laurent Corcos (6 shared papers)Nidal M. Albarghach (4 shared papers)Ulrike Schick (29 shared papers)François Lucia (24 shared papers)
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (26 papers)Journal of Nuclear Medicine (24 papers)Medical Physics (11 papers)Scientific Reports (7 papers)Physics in Medicine and Biology (6 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Mathieu Hatt
186 papers receiving 11.8k citations
Mathieu Hatt's Hit Papers
Peers
Comparison fields: 5 of 125
- Radiology, Nuclear Medicine and Imaging 9.4k
- Health Informatics 349
- Computer Vision and Pattern Recognition 1.2k
- Radiation 369
- Otorhinolaryngology 144
Countries citing papers authored by Mathieu Hatt
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
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-authors
The 25 scholars most cited alongside Mathieu Hatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping Hit paper breakdown → | 2020 | 2935 |
| 2 | Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer Hit paper breakdown → | 2011 | 610 |
| 3 | Characterization of PET/CT images using texture analysis: the past, the present… any future? Hit paper breakdown → | 2016 | 394 |
| 4 | 18 F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort Hit paper breakdown → | 2014 | 381 |
| 5 | 2012 | 280 | |
| 6 | 2009 | 275 | |
| 7 | 2017 | 212 | |
| 8 | 2013 | 182 | |
| 9 | Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization Hit paper breakdown → | 2021 | 173 |
| 10 | 2017 | 172 | |
| 11 | 2021 | 168 | |
| 12 | 2018 | 157 | |
| 13 | 2020 | 157 | |
| 14 | 2010 | 149 | |
| 15 | 2019 | 149 | |
| 16 | The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights Hit paper breakdown → | 2024 | 148 |
| 17 | 2016 | 142 | |
| 18 | 2016 | 139 | |
| 19 | 2017 | 136 | |
| 20 | 2014 | 131 |
About Mathieu Hatt
Mathieu Hatt is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Radiation, Cancer Research and Neurology, having authored 193 papers that have together received 11.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (92 papers), Medical Imaging Techniques and Applications (60 papers), Medical Image Segmentation Techniques (39 papers), Advanced Radiotherapy Techniques (16 papers), Breast Cancer Treatment Studies (7 papers), Image and Signal Denoising Methods (4 papers), Esophageal Cancer Research and Treatment (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (9.4k citations), Health Informatics (349 citations), Computer Vision and Pattern Recognition (1.2k citations), Radiation (369 citations) and Otorhinolaryngology (144 citations). Mathieu Hatt has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Dimitris Visvikis, Catherine Cheze Le Rest, Florent Tixier, Olivier Pradier, Laurent Corcos, Nidal M. Albarghach, Ulrike Schick, François Lucia, jean-philippe Metges and Adrien Le Pogam. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Nuclear Medicine, Medical Physics, Scientific Reports and Physics in Medicine and Biology.
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.