Aymeric Histace

2.9k total citations · 1 hit paper
54 papers, 1.1k citations indexed

About

Aymeric Histace is a scholar working on Computer Vision and Pattern Recognition, Oncology and Gastroenterology. According to data from OpenAlex, Aymeric Histace has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 15 papers in Oncology and 14 papers in Gastroenterology. Recurrent topics in Aymeric Histace's work include Colorectal Cancer Screening and Detection (14 papers), Gastrointestinal Bleeding Diagnosis and Treatment (14 papers) and Gastric Cancer Management and Outcomes (10 papers). Aymeric Histace is often cited by papers focused on Colorectal Cancer Screening and Detection (14 papers), Gastrointestinal Bleeding Diagnosis and Treatment (14 papers) and Gastric Cancer Management and Outcomes (10 papers). Aymeric Histace collaborates with scholars based in France, United Kingdom and Belgium. Aymeric Histace's co-authors include Olivier Romain, Xavier Dray, Bertrand Granado, Juan Carlos Silva, Xavier Dray, David Rousseau, Romain Leenhardt, Anastasios Koulaouzidis, Bogdan J. Matuszewski and Cédric Clouchoux and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Aymeric Histace

50 papers receiving 1.1k 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.

Toward embedded detection of polyps in WCE images for early diagnosis of colorectal cancer

2013 698 citations Aymeric Histace, Olivier Romain et al. International Journal of Computer Assisted Radiology and Surgery profile →

Peers

Aymeric Histace

ONCOL

CVPR

RNMI

GASTR

Fernando Vilariño Spain

Toru Tamaki Japan

Sharib Ali United Kingdom

Bisser Raytchev Japan

Nader Karimi Iran

Jorge Bernal Spain

Muhammad Rashid Pakistan

Yasuhito Suenaga Japan

Adrián Colomer Spain

Md Mamunur Rahaman China

Fernando Vilariño Spain

Aymeric Histace

822 ×1.7

ONCOL

1.0k ×2.2

CVPR

692 ×2.0

RNMI

620 ×1.9

247 ×1.3

GASTR

Citations per year, relative to Aymeric Histace Aymeric Histace (= 1×) peers Fernando Vilariño

Countries citing papers authored by Aymeric Histace

Since Specialization

Citations

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

Fields of papers citing papers by Aymeric Histace

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aymeric Histace

This figure shows the co-authorship network connecting the top 25 collaborators of Aymeric Histace. A scholar is included among the top collaborators of Aymeric Histace 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 Aymeric Histace. Aymeric Histace 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

Cannet, Arnaud, Aymeric Histace, Mohammad Akhoundi, et al.. (2025). Application of wings interferential patterns (WIPs) and deep learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importance. Scientific Reports. 15(1). 21548–21548. 1 indexed citations

Cannet, Arnaud, Aymeric Histace, Mohammad Akhoundi, et al.. (2024). An annotated wing interferential pattern dataset of dipteran insects of medical interest for deep learning. Scientific Data. 11(1). 4–4. 5 indexed citations

Leenhardt, Romain, et al.. (2024). Toward automated small bowel capsule endoscopy reporting using a summarizing machine learning algorithm: The SUM UP study. Clinics and Research in Hepatology and Gastroenterology. 49(1). 102509–102509. 1 indexed citations

Cannet, Arnaud, Mohammad Akhoundi, Aymeric Histace, et al.. (2023). Deep learning and wing interferential patterns identify Anopheles species and discriminate amongst Gambiae complex species. Scientific Reports. 13(1). 13895–13895. 11 indexed citations

Jacob, Pierre, et al.. (2023). VK-SITS: a Robust Time-Surface for Fast Event-Based Recognition. 1–6. 3 indexed citations

Clouchoux, Cédric, et al.. (2023). Mu-Net a Light Architecture for Small Dataset Segmentation of Brain Organoid Bright-Field Images. Biomedicines. 11(10). 2687–2687. 3 indexed citations

Cannet, Arnaud, Aymeric Histace, Mohammad Akhoundi, et al.. (2023). Wing Interferential Patterns (WIPs) and machine learning for the classification of some Aedes species of medical interest. Scientific Reports. 13(1). 17628–17628. 8 indexed citations

Cannet, Arnaud, Aymeric Histace, Mohammad Akhoundi, et al.. (2023). Species identification of phlebotomine sandflies using deep learning and wing interferential pattern (WIP). Scientific Reports. 13(1). 21389–21389. 7 indexed citations

Jacob, Pierre, et al.. (2023). VK-SITS: Variable Kernel Speed Invariant Time Surface for Event-Based Recognition. 754–761. 1 indexed citations

10.

Selnes, Ola A., Thomas Bjørsum‐Meyer, Aymeric Histace, Gunnar Baatrup, & Anastasios Koulaouzidis. (2022). Annotation Tools in Gastrointestinal Polyp Annotation. Diagnostics. 12(10). 2324–2324. 3 indexed citations

11.

Cannet, Arnaud, Mohammad Akhoundi, Aymeric Histace, et al.. (2022). Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identification. Scientific Reports. 12(1). 20086–20086. 9 indexed citations

12.

Vu, Ngoc‐Son, et al.. (2022). Anomaly Detection via Learnable Pretext Task. 2022 26th International Conference on Pattern Recognition (ICPR). 1178–1185. 1 indexed citations

13.

Dray, Xavier, et al.. (2021). Artificial intelligence in small bowel capsule endoscopy ‐ current status, challenges and future promise. Journal of Gastroenterology and Hepatology. 36(1). 12–19. 47 indexed citations

14.

Leenhardt, Romain, Ignacio Fernández-Urién Sainz, Emanuele Rondonotti, et al.. (2021). PEACE: Perception and Expectations toward Artificial Intelligence in Capsule Endoscopy. Journal of Clinical Medicine. 10(23). 5708–5708. 20 indexed citations

15.

Clouchoux, Cédric, et al.. (2021). Recent Trends and Perspectives in Cerebral Organoids Imaging and Analysis. Frontiers in Neuroscience. 15. 629067–629067. 24 indexed citations

16.

Leenhardt, Romain, Hanneke Beaumont, Robert Benamouzig, et al.. (2021). A multisystem-compatible deep learning-based algorithm for detection and characterization of angiectasias in small-bowel capsule endoscopy. A proof-of-concept study.. Digestive and Liver Disease. 53(12). 1627–1631. 7 indexed citations

17.

Bernal, Jorge, Aymeric Histace, Marc Masana, et al.. (2018). GTCreator: a flexible annotation tool for image-based datasets. International Journal of Computer Assisted Radiology and Surgery. 14(2). 191–201. 21 indexed citations

18.

Histace, Aymeric, et al.. (2014). Active contour segmentation based on approximate entropy: Application to cell membrane segmentation in confocal microscopy. CLOK (University of Central Lancashire). 1 indexed citations

19.

Histace, Aymeric. (2012). Image Restoration - Recent Advances and Applications. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

20.

Histace, Aymeric, Christophe Portefaix, & Bogdan J. Matuszewski. (2010). Comparison of different grid of tags detection methods in tagged cardiac MR imaging. International Journal of Computer Assisted Radiology and Surgery. 6(2). 153–161.

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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