Philippe Burlina

Joint

1992 …2019
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Fingerprint Dive into the research topics where Philippe Burlina is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Echocardiography Engineering & Materials Science
Macular Degeneration Medicine & Life Sciences
Three-Dimensional Echocardiography Medicine & Life Sciences
Image analysis Engineering & Materials Science
Data description Engineering & Materials Science
Skin Engineering & Materials Science
Learning Medicine & Life Sciences
Mitral Valve Medicine & Life Sciences

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Research Output 1992 2019

AI-based AMD Analysis: A Review of Recent Progress

Burlina, P., Joshi, N. & Bressler, N. M., Jan 1 2019, Computer Vision – ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, 2018, Revised Selected Papers. Carneiro, G. & You, S. (eds.). Springer Verlag, p. 303-308 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11367 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Degeneration
Progression
Review

Automated detection of erythema migrans and other confounding skin lesions via deep learning

Burlina, P., Joshi, N. J., Ng, E., Billings, S. D., Rebman, A. W. & Aucott, J., Feb 1 2019, In : Computers in Biology and Medicine. 105, p. 151-156 6 p.

Research output: Contribution to journalArticle

Erythema
Skin
Learning
Lyme Disease
Acute Disease

Deep embeddings for novelty detection in myopathy

Burlina, P., Joshi, N., Billings, S., Wang, I. J. & Albayda, J., Feb 1 2019, In : Computers in Biology and Medicine. 105, p. 46-53 8 p.

Research output: Contribution to journalArticle

Myositis
Muscular Diseases
Muscle
Informed Consent
Area Under Curve

Deep learning based retinal OCT segmentation

Pekala, M., Joshi, N., Liu, T. Y., Bressler, N. M., DeBuc, D. C. & Burlina, P., Nov 1 2019, In : Computers in Biology and Medicine. 114, 103445.

Research output: Contribution to journalArticle

Optical tomography
Optical Coherence Tomography
Learning
Learning systems
Diabetic Retinopathy

Deep learning in ophthalmology: The technical and clinical considerations

Ting, D. S. W., Peng, L., Varadarajan, A. V., Keane, P. A., Burlina, P., Chiang, M. F., Schmetterer, L., Pasquale, L. R., Bressler, N. M., Webster, D. R., Abramoff, M. & Wong, T. Y., Jan 1 2019, In : Progress in Retinal and Eye Research.

Research output: Contribution to journalReview article

Ophthalmology
Learning
Artificial Intelligence
Eye Diseases
Macular Degeneration