Philippe Burlina

Joint

1992 …2019
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Echocardiography Engineering & Materials Science
Macular Degeneration Medicine & Life Sciences
Three-Dimensional Echocardiography Medicine & Life Sciences
Data description Engineering & Materials Science
Skin Engineering & Materials Science
Image analysis Engineering & Materials Science
Mitral Valve Medicine & Life Sciences
Learning Medicine & Life Sciences

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Research Output 1992 2019

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 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

A hybrid approach for incorporating deep visual features and side channel information with applications to AMD detection

Horta, A., Joshi, N., Pekala, M., Pacheco, K. D., Kong, J., Bressler, N. M., Freund, D. E. & Burlina, P., Jan 16 2018, Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 716-720 5 p.

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

Image analysis
Health