The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
TeleOphta: Machine learning and image processing methods for teleophthalmology
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Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Wild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1047 · Cited by 15,297
Fast Algorithms for Mining Association Rules in Large Databases
Agrawal, R., & Srikant, R. (1994) · Very Large Data Bases · Cited by 9,419
Antiextensive connected operators for image and sequence processing
Salembier, P., Oliveras, A., & Garrido, L. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.663500 · Cited by 635
Automatic detection of microaneurysms in color fundus images
Walter, T., Massin, P., Erginay, A., Ordonez, R., Jeulin, C., & Klein, J.-C. (2007) · Medical Image Analysis · doi:10.1016/j.media.2007.05.001 · Cited by 356
Self-citationOptimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs
Quellec, G., Lamard, M., Josselin, P. M., Cazuguel, G., Cochener, B., & Roux, C. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.920619 · Cited by 343
Self-citationOPHDIAT©: A telemedical network screening system for diabetic retinopathy in the Île-de-France
Massin, P., Chabouis, A., Erginay, A., Viens-Bitker, C., Lecleire-Collet, A., Meas, T., Guillausseau, P.-J., Choupot, G., Andre, B., & Denormandie, P. (2008) · Diabetes & Metabolism · doi:10.1016/j.diabet.2007.12.006 · Cited by 112
Self-citationA multiple-instance learning framework for diabetic retinopathy screening
Quellec, G., Lamard, M., Abràmoff, M. D., Decencière, É., Laÿ, B., Erginay, A., Cochener, B., & Cazuguel, G. (2012) · Medical Image Analysis · doi:10.1016/j.media.2012.06.003 · Cited by 97
Self-citationQuellec, G., Lamard, M., Cazuguel, G., Bekri, L., Daccache, W., Roux, C., & Cochener, B. (2011) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.11-7418 · Cited by 42
Self-citationOPHDIAT©: Quality-assurance programme plan and performance of the network
Erginay, A., Chabouis, A., Viens-Bitker, C., Robert, N., Lecleire-Collet, A., & Massin, P. (2008) · Diabetes & Metabolism · doi:10.1016/j.diabet.2008.01.004 · Cited by 31
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Cited by
Automated Identification of Diabetic Retinopathy Using Deep Learning
Gargeya, R., & Leng, T. (2017) · Ophthalmology · doi:10.1016/j.ophtha.2017.02.008 · Cited by 1,362
Diabetic retinopathy detection through deep learning techniques: A review
Alyoubi, W. L., Shalash, W. M., & Abulkhair, M. F. (2020) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2020.100377 · Cited by 527
Applications of deep learning in fundus images: A review
Li, T., Bo, W., Hu, C., Kang, H., Liu, H., Wang, K., & Fu, H. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.101971 · Cited by 396
Khan, S. M., Liu, X., Nath, S., Korot, E., Faes, L., Wagner, S. K., Keane, P. A., Sebire, N. J., Burton, M. J., & Denniston, A. K. (2021) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30240-5 · Cited by 334
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review
Tsiknakis, N., Theodoropoulos, D., Manikis, G., Ktistakis, E., Boutsora, O., Berto, A., Scarpa, F., Scarpa, A., Fotiadis, D. I., & Marias, K. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104599 · Cited by 328
Metadata
- Authors
- Decencière, E., Cazuguel, G., Zhang, X., Thibault, G., Klein, J.-C., Meyer, F., Marcotegui, B., Quellec, G., Lamard, M., Danno, R., Elie, D., Massin, P., Viktor, Z., Erginay, A., Laÿ, B., & Chabouis, A.
- Venue
- IRBM
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 34
- Issue
- 2
- Pages
- 196-203
- ISSN
- 1876-0988 (ISSN-L)
- 1959-0318
- OpenAlex
- W1982890488
- Cited by
- 506
- References
- 10
- FWCI
- 4.75
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: TeleOphta: Machine learning and image processing methods for teleophthalmology. https://app.cochat.ai/papers/10.1016/j.irbm.2013.01.010
- The paper
- Decencière, E., Cazuguel, G., Zhang, X., Thibault, G., Klein, J.-C., Meyer, F., Marcotegui, B., Quellec, G., Lamard, M., Danno, R., Elie, D., Massin, P., Viktor, Z., Erginay, A., Laÿ, B., & Chabouis, A. (2013). TeleOphta: Machine learning and image processing methods for teleophthalmology. IRBM. https://doi.org/10.1016/j.irbm.2013.01.010
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
