Fethallah Benmansour

1.4k total citations · 1 hit paper
30 papers, 826 citations indexed

About

Fethallah Benmansour is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Fethallah Benmansour has authored 30 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biophysics. Recurrent topics in Fethallah Benmansour's work include Retinal Imaging and Analysis (10 papers), Cell Image Analysis Techniques (8 papers) and Advanced Vision and Imaging (7 papers). Fethallah Benmansour is often cited by papers focused on Retinal Imaging and Analysis (10 papers), Cell Image Analysis Techniques (8 papers) and Advanced Vision and Imaging (7 papers). Fethallah Benmansour collaborates with scholars based in Switzerland, France and United States. Fethallah Benmansour's co-authors include Laurent D. Cohen, Andreas Maunz, Pascal Fua, Marco Prunotto, Engin Türetken, Filippo Arcadu, Jeffrey R. Willis, Zdenka Hašková, Bjoern Andres and Hanspeter Pfister and has published in prestigious journals such as The Journal of Cell Biology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Fethallah Benmansour

29 papers receiving 794 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.

Deep learning algorithm predicts diabetic retinopathy progression in individual patients

2019 188 citations Filippo Arcadu, Fethallah Benmansour et al. npj Digital Medicine profile →

Peers

Fethallah Benmansour

RNMI

CVPR

OPHTH

BIOPH

Pedro Serranho Portugal

A.M. Vossepoel Netherlands

Germán González United States

Gady Agam United States

Xiaohong Wang China

Benzheng Wei China

Seung Park South Korea

Walter Blondel France

Julien Jomier United States

Xiaoxia Yin Australia

Pedro Serranho Portugal

Fethallah Benmansour

306 ×1.1

RNMI

152 ×0.6

CVPR

228 ×1.4

OPHTH

35 ×0.3

26 ×0.3

BIOPH

Citations per year, relative to Fethallah Benmansour Fethallah Benmansour (= 1×) peers Pedro Serranho

Countries citing papers authored by Fethallah Benmansour

Since Specialization

Citations

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

Fields of papers citing papers by Fethallah Benmansour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fethallah Benmansour

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

Benmansour, Fethallah, et al.. (2021). Automated screening of moderately severe and severe nonproliferative diabetic retinopathy (NPDR) from 7-field color fundus photographs (7F-CFP) using deep learning (DL). Investigative Ophthalmology & Visual Science. 62(8). 115–115. 1 indexed citations

Maunz, Andreas, Fethallah Benmansour, Thomas Albrecht, et al.. (2021). Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography. Journal of Personalized Medicine. 11(6). 524–524. 6 indexed citations

Jones, Ian L., Andreas Maunz, Thomas Albrecht, et al.. (2020). Development and External Validation of a Machine Learning Model for Predicting Response to anti-VEGF Treatment in Patients with neovascular AMD. Investigative Ophthalmology & Visual Science. 61(9). 1 indexed citations

Maunz, Andreas, Fethallah Benmansour, Yun Li, et al.. (2020). Diagnostic accuracy of a machine-learning algorithm to detect and classify choroidal neovascularization based on SD-OCT in neovascular age-related macular degeneration (nAMD). Investigative Ophthalmology & Visual Science. 61(7). 2649–2649.

Arcadu, Filippo, Fethallah Benmansour, Andreas Maunz, et al.. (2020). Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients. npj Digital Medicine. 3(1). 160–160. 10 indexed citations

Sahni, Jayashree, et al.. (2019). A machine learning approach to predict response to anti-VEGF treatment in patients with neovascular age-related macular degeneration using SD-OCT. Investigative Ophthalmology & Visual Science. 60(11). 1 indexed citations

Arcadu, Filippo, Fethallah Benmansour, Andreas Maunz, et al.. (2019). Deep learning algorithm for patient-level prediction of diabetic retinopathy (DR) response to vascular endothelial growth factor (VEGF) inhibition. Investigative Ophthalmology & Visual Science. 60(9). 2806–2806. 2 indexed citations

Arcadu, Filippo, Fethallah Benmansour, Andreas Maunz, et al.. (2019). Deep learning algorithm predicts diabetic retinopathy progression in individual patients. npj Digital Medicine. 2(1). 92–92. 188 indexed citations breakdown →

Zoffmann, Sannah, Maarten Vercruysse, Fethallah Benmansour, et al.. (2019). Machine learning-powered antibiotics phenotypic drug discovery. Scientific Reports. 9(1). 5013–5013. 67 indexed citations

10.

Moisan, Annie, Francesca Michielin, Wolfgang Jacob, et al.. (2018). Mechanistic Investigations of Diarrhea Toxicity Induced by Anti-HER2/3 Combination Therapy. Molecular Cancer Therapeutics. 17(7). 1464–1474. 18 indexed citations

11.

Drawnel, Faye, Jitao David Zhang, Erich Küng, et al.. (2017). Molecular Phenotyping Combines Molecular Information, Biological Relevance, and Patient Data to Improve Productivity of Early Drug Discovery. Cell chemical biology. 24(5). 624–634.e3. 27 indexed citations

12.

Moisan, Annie, Marcel Gubler, Jitao David Zhang, et al.. (2016). Inhibition of EGF Uptake by Nephrotoxic Antisense Drugs In Vitro and Implications for Preclinical Safety Profiling. Molecular Therapy — Nucleic Acids. 6. 89–105. 24 indexed citations

13.

Rigamonti, Roberto, Vincent Lepetit, Germán González, et al.. (2014). On the relevance of sparsity for image classification. Computer Vision and Image Understanding. 125. 115–127. 7 indexed citations

14.

Türetken, Engin, et al.. (2013). Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery Using Multi-directional Oriented Flux. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1553–1560. 22 indexed citations

15.

González, Germán, et al.. (2013). Automated quantification of morphodynamics for high-throughput live cell time-lapse datasets. 316. 664–667. 5 indexed citations

16.

Benmansour, Fethallah, Engin Türetken, & Pascal Fua. (2013). Tubular Geodesics using Oriented Flux: An ITK Implementation. 6 indexed citations

17.

González, Germán, François Fleuret, François Aguet, et al.. (2011). Rotational Features Extraction for Ridge Detection. 1 indexed citations

18.

Benmansour, Fethallah, et al.. (2009). Numerical approximation of continuous traffic congestion equilibria. Networks and Heterogeneous Media. 4(3). 605–623. 11 indexed citations

19.

Benmansour, Fethallah, Stéphane Bonneau, & Laurent D. Cohen. (2007). Finding a Closed Boundary by Growing Minimal Paths from a Single Point on 2D or 3D Images. 1–8. 3 indexed citations

20.

Huy, Patrice Tran Ba, Pin-Zhir Chao, Fethallah Benmansour, & Bincy M George. (2001). Long-term oncological results in 47 cases of jugular paraganglioma surgery with special emphasis on the facial nerve issue. The Journal of Laryngology & Otology. 115(12). 981–987. 23 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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