Philippe Burlina

4.7k total citations · 2 hit papers
99 papers, 3.0k citations indexed

About

Philippe Burlina is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Philippe Burlina has authored 99 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 35 papers in Radiology, Nuclear Medicine and Imaging and 29 papers in Artificial Intelligence. Recurrent topics in Philippe Burlina's work include Retinal Imaging and Analysis (19 papers), Retinal Diseases and Treatments (14 papers) and Cardiac Valve Diseases and Treatments (11 papers). Philippe Burlina is often cited by papers focused on Retinal Imaging and Analysis (19 papers), Retinal Diseases and Treatments (14 papers) and Cardiac Valve Diseases and Treatments (11 papers). Philippe Burlina collaborates with scholars based in United States, Canada and Singapore. Philippe Burlina's co-authors include Neil M. Bressler, Neil Joshi, Amit Banerjee, David Freund, Kátia D. Pacheco, Christopher Diehl, Rama Chellappa, Michael Pekala, Tien Yin Wong and Daniel Shu Wei Ting and has published in prestigious journals such as Nature Medicine, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Philippe Burlina

96 papers receiving 2.9k 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.

Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

2017 426 citations Philippe Burlina, Neil Joshi et al. JAMA Ophthalmology profile →
Deep learning in ophthalmology: The technical and clinical considerations

2019 345 citations Daniel Shu Wei Ting, Philippe Burlina et al. profile →

Peers

Philippe Burlina

RNMI

OPHTH

CVPR

Marco Loog Netherlands

Xin Yang China

Xiaomeng Li China

Domènec Puig Spain

Beiji Zou China

Isabella Nogues United States

Aurélio Campilho Portugal

Mohammed Elmogy Egypt

Jinshan Tang United States

Thomas J. Fuchs United States

Marco Loog Netherlands

Philippe Burlina

1.5k ×0.9

RNMI

485 ×0.4

OPHTH

1.8k ×2.6

CVPR

1.4k ×2.5

320 ×0.7

Citations per year, relative to Philippe Burlina Philippe Burlina (= 1×) peers Marco Loog

Countries citing papers authored by Philippe Burlina

Since Specialization

Citations

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

Fields of papers citing papers by Philippe Burlina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Burlina

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

Zhou, Ashley, William Paul, Philippe Burlina, et al.. (2025). Estimating Visual Acuity With Spectacle Correction From Fundus Photos Using Artificial Intelligence. JAMA Network Open. 8(1). e2453770–e2453770. 2 indexed citations

Paul, William, et al.. (2023). Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures. IEEE Transactions on Information Forensics and Security. 19. 1630–1645. 2 indexed citations

Paul, William, Philippe Burlina, Neil Joshi, et al.. (2023). Accuracy of Artificial Intelligence in Estimating Best-Corrected Visual Acuity From Fundus Photographs in Eyes With Diabetic Macular Edema. JAMA Ophthalmology. 141(7). 677–677. 11 indexed citations

Paul, William, I-Jeng Wang, Fady Alajaji, & Philippe Burlina. (2020). Unsupervised Semantic Attribute Discovery and Control in Generative Models.. arXiv (Cornell University). 2 indexed citations

Burlina, Philippe, et al.. (2020). AI-based detection of erythema migrans and disambiguation against other skin lesions. Computers in Biology and Medicine. 125. 103977–103977. 17 indexed citations

Burlina, Philippe, Neil Joshi, Elise Ng, et al.. (2018). Automated detection of erythema migrans and other confounding skin lesions via deep learning. Computers in Biology and Medicine. 105. 151–156. 43 indexed citations

Ting, Daniel Shu Wei, Yong Liu, Philippe Burlina, et al.. (2018). AI for medical imaging goes deep. Nature Medicine. 24(5). 539–540. 135 indexed citations

Burlina, Philippe, Seth Billings, Neil Joshi, & Jemima Albayda. (2017). Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods. PLoS ONE. 12(8). e0184059–e0184059. 107 indexed citations

Pacheco, Kátia D., Yulia Wolfson, Philippe Burlina, et al.. (2016). Evaluation of automated drusen detection system for fundus photographs of patients with age-related macular degeneration. Investigative Ophthalmology & Visual Science. 57(12). 1611–1611. 4 indexed citations

10.

Feeny, Albert, Mongkol Tadarati, David Freund, Neil M. Bressler, & Philippe Burlina. (2015). Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images. Computers in Biology and Medicine. 65. 124–136. 59 indexed citations

11.

Vyas, Saurabh, Jon H. Meyerle, & Philippe Burlina. (2014). Non-invasive estimation of skin thickness from hyperspectral imaging and validation using echography. Computers in Biology and Medicine. 57. 173–181. 20 indexed citations

12.

Vyas, Saurabh, Amit Banerjee, & Philippe Burlina. (2013). Estimating physiological skin parameters from hyperspectral signatures. Journal of Biomedical Optics. 18(5). 57008–57008. 23 indexed citations

13.

Burlina, Philippe, et al.. (2013). Patient-Specific Mitral Valve Closure Prediction Using 3D Echocardiography. Ultrasound in Medicine & Biology. 39(5). 769–783. 8 indexed citations

14.

Banerjee, Amit & Philippe Burlina. (2010). Efficient Particle Filtering via Sparse Kernel Density Estimation. IEEE Transactions on Image Processing. 19(9). 2480–2490. 26 indexed citations

15.

Juang, Radford & Philippe Burlina. (2009). Comparative performance evaluation of GM-PHD filter in clutter. International Conference on Information Fusion. 1195–1202. 10 indexed citations

16.

Freund, David, Philippe Burlina, & Neil M. Bressler. (2009). A Machine Learning Approach to the Detection of Intermediate Stage of Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 50(13). 243–243. 1 indexed citations

17.

Juang, Radford, Philippe Burlina, & Amit Banerjee. (2008). Level set segmentation of hyperspectral images using joint spectral edge and signature information. International Conference on Information Fusion. 1–7. 2 indexed citations

18.

Banerjee, Amit, Philippe Burlina, & Fady Alajaji. (1999). Image segmentation and labeling using the Polya urn model. IEEE Transactions on Image Processing. 8(9). 1243–1253. 24 indexed citations

19.

Banerjee, Amit, Philippe Burlina, & Rama Chellappa. (1999). Adaptive target detection in foliage-penetrating SAR images using alpha-stable models. IEEE Transactions on Image Processing. 8(12). 1823–1831. 59 indexed citations

20.

Burlina, Philippe & Rama Chellappa. (1997). A spectral attentional mechanism tuned to object configurations. IEEE Transactions on Image Processing. 6(8). 1117–1128. 8 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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