Publications

Most cited

  1. G. Litjens, T. Kooi, B. Ehteshami Bejnordi, A. Setio, F. Ciompi, M. Ghafoorian, J. van der Laak, B. van Ginneken and C. Sánchez, "A Survey on Deep Learning in Medical Image Analysis", Medical Image Analysis, 2017;42:60-88. Abstract/PDF DOI PMID Cited by ~3681
  2. A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M. Wille, M. Naqibullah, C. Sánchez and B. van Ginneken, "Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks", IEEE Transactions on Medical Imaging, 2016;35(5):1160-1169. Abstract/PDF DOI PMID Cited by ~605
  3. G. Litjens, C. Sánchez, N. Timofeeva, M. Hermsen, I. Nagtegaal, I. Kovacs, C. Hulsbergen-van de Kaa, P. Bult, B. van Ginneken and J. van der Laak, "Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis", Nature Scientific Reports, 2016;6:26286. Abstract/PDF DOI PMID Cited by ~490
  4. M. Niemeijer, B. van Ginneken, M. Cree, A. Mizutani, G. Quellec, C. Sánchez, B. Zhang, R. Hornero, M. Lamard, C. Muramatsu, X. Wu, G. Cazuguel, J. You, A. Mayo, Q. Li, Y. Hatanaka, B. Cochener, C. Roux, F. Karray, M. Garcia, H. Fujita and M. Abràmoff, "Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs", IEEE Transactions on Medical Imaging, 2010;29(1):185-195. Abstract/PDF DOI PMID Cited by ~446
  5. T. Kooi, G. Litjens, B. van Ginneken, A. Gubern-Mérida, C. Sánchez, R. Mann, A. den Heeten and N. Karssemeijer, "Large scale deep learning for computer aided detection of mammographic lesions", Medical Image Analysis, 2017;35:303-312. Abstract/PDF DOI PMID Cited by ~432
  6. M. van Grinsven, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez., "Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images", IEEE Transactions on Medical Imaging, 2016;35(5):1273-1284. Abstract/PDF DOI PMID Cited by ~240
  7. D. Abásolo, R. Hornero, P. Espino, J. Poza, C. Sánchez and R. de la Rosa, "Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy", Clinical Neurophysiology, 2005;116(8):1826-1834. Abstract/PDF DOI PMID Cited by ~233
  8. C. Sánchez, M. García, A. Mayo, M. López and R. Hornero, "Retinal image analysis based on mixture models to detect hard exudates", Medical Image Analysis, 2009;13(4):650-658. Abstract/PDF DOI PMID Cited by ~206
  9. M. García, C. Sánchez, M. López, D. Abásolo and R. Hornero, "Neural network based detection of hard exudates in retinal images", Computer Methods and Programs in Biomedicine, 2009;93(1):9-19. Abstract/PDF DOI PMID Cited by ~193
  10. C. Sánchez, R. Hornero, M. López, M. Aboy, J. Poza and D. Abásolo, "A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis", Medical Engineering and Physics, 2008;30(3):350-357. Abstract/PDF DOI PMID Cited by ~173
  11. M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, C. Sánchez, G. Litjens, F. de Leeuw, B. van Ginneken, E. Marchiori and B. Platel, "Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities", Nature Scientific Reports, 2017;7(1):5110. Abstract/PDF DOI PMID Cited by ~117
  12. C. Sánchez, R. Hornero, M. López and J. Poza, "Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2004;3:1624-1627. Abstract DOI PMID Cited by ~116
  13. S. van Riel, C. Sánchez, A. Bankier, D. Naidich, J. Verschakelen, E. Scholten, P. de Jong, C. Jacobs, E. van Rikxoort, L. Peters-Bax, M. Snoeren, M. Prokop, B. van Ginneken and C. Schaefer-Prokop, "Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management", Radiology, 2015;277(3):863-871. Abstract/PDF DOI PMID Cited by ~113
  14. R. Hornero, D. Abásolo, N. Jimeno, C. Sánchez, J. Poza and M. Aboy, "Variability, regularity, and complexity of time series generated by schizophrenic patients and control subjects", IEEE Transactions on Biomedical Engineering, 2006;53(2):210-218. Abstract/PDF DOI PMID Cited by ~83
  15. C. Sánchez, M. Niemeijer, A. Dumitrescu, M. Suttorp-Schulten, M. Abràmoff and B. van Ginneken, "Evaluation of a Computer-Aided Diagnosis system for Diabetic Retinopathy screening on public data", Investigative Ophthalmology and Visual Science, 2011;52:4866-4871. Abstract/PDF DOI PMID Cited by ~78
  16. T. Tan, B. Platel, H. Huisman, C. Sánchez, R. Mus and N. Karssemeijer, "Computer Aided Lesion Diagnosis in Automated 3D Breast Ultrasound Using Coronal Spiculation", IEEE Transactions on Medical Imaging, 2012;31(5):1034-1042. Abstract/PDF DOI PMID Cited by ~75
  17. M. García, C. Sánchez, J. Poza, M. López and R. Hornero, "Detection of hard exudates in retinal images using a radial basis function classifier", Annals of Biomedical Engineering, 2009;37(7):1448-1463. Abstract/PDF DOI PMID Cited by ~67
  18. C. Sánchez, R. Hornero, A. Mayo and M. Garcia, "Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images", Medical Imaging, 2009;7260:72601M1-72601M8. Abstract/PDF DOI Cited by ~61
  19. F. Venhuizen, B. van Ginneken, B. Liefers, Schreur, M. van Grinsven, S. Fauser, C. Hoyng, T. Theelen and C. Sánchez, "Robust Total Retina Thickness Segmentation in Optical Coherence Tomography Images using Convolutional Neural Networks", Biomedical Optics Express, 2017;8(7):3292-3316. Abstract/PDF DOI PMID Cited by ~59
  20. M. García, R. Hornero, C. Sánchez, M. López and A. Díez, "Feature extraction and selection for the automatic detection of hard exudates in retinal images", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007:4969-4972. Abstract DOI PMID Cited by ~59
  21. J. Poza, R. Hornero, J. Escudero, A. Fernández and C. Sánchez, "Regional analysis of spontaneous MEG rhythms in patients with Alzheimer's disease using spectral entropies", Annals of Biomedical Engineering, 2008;36(1):141-152. Abstract/PDF DOI PMID Cited by ~56
  22. J. Melendez, C. Sánchez, R. Philipsen, P. Maduskar, R. Dawson, G. Theron, K. Dheda and B. van Ginneken, "An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information", Nature Scientific Reports, 2016;6:25265. Abstract/PDF DOI PMID Cited by ~53
  23. J. Melendez, B. van Ginneken, P. Maduskar, R. Philipsen, K. Reither, M. Breuninger, I. Adetifa, R. Maane, H. Ayles and C. Sánchez, "A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays", IEEE Transactions on Medical Imaging, 2015;34(1):179-192. Abstract/PDF DOI PMID Cited by ~52
  24. L. Hogeweg, C. Sánchez, P. Maduskar, R. Philipsen, A. Story, R. Dawson, G. Theron, K. Dheda, L. Peters-Bax and B. van Ginneken, "Automatic detection of tuberculosis in chest radiographs using a combination of textural, focal, and shape abnormality analysis", IEEE Transactions on Medical Imaging, 2015;34(12):2429-2442. Abstract/PDF DOI PMID Cited by ~51
  25. M. García, C. Sánchez, M. López, A. Díez and R. Hornero, "Automatic detection of red lesions in retinal images using a multilayer perceptron neural network", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008;2008:5425-5428. Abstract/PDF DOI PMID Cited by ~48
  26. F. Venhuizen, B. van Ginneken, B. Bloemen, M. van Grinsven, R. Philipsen, C. Hoyng, T. Theelen and C. Sánchez, "Automated Age-Related Macular Degeneration Classification in OCT using Unsupervised Feature Learning", Medical Imaging, 2015;9414(94141I). Abstract/PDF DOI Cited by ~45
  27. L. Hogeweg, C. Sánchez, P. de Jong, P. Maduskar and B. van Ginneken, "Clavicle segmentation in chest radiographs", Medical Image Analysis, 2012;16(8):1490 - 1502. Abstract/PDF DOI PMID Cited by ~45
  28. C. Sánchez, M. Niemeijer, I. Išgum, A. Dumitrescu, M. Suttorp-Schulten, M. Abràmoff and B. van Ginneken, "Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans", Medical Image Analysis, 2012;16(1):50-62. Abstract/PDF DOI PMID Cited by ~43
  29. C. Jacobs, C. Sánchez, S. Saur, T. Twellmann, P. de Jong and B. van Ginneken, "Computer-Aided Detection of Ground Glass Nodules in Thoracic CT images using Shape, Intensity and Context Features", Medical Image Computing and Computer-Assisted Intervention, 2011;6893:207-214. Abstract/PDF DOI PMID Cited by ~40
  30. F. Venhuizen, B. van Ginneken, F. van Asten, M. van Grinsven, S. Fauser, C. Hoyng, T. Theelen and C. Sánchez, "Automated Staging of Age-Related Macular Degeneration Using Optical Coherence Tomography", Investigative Ophthalmology and Visual Science, 2017;58(4):2318-2328. Abstract/PDF DOI PMID Cited by ~37
  31. R. Philipsen, C. Sánchez, P. Maduskar, J. Melendez, L. Peters-Bax, J. Peter, R. Dawson, G. Theron, K. Dheda and B. van Ginneken, "Automated chest-radiography as a triage for Xpert testing in resource-constrained settings: a prospective study of diagnostic accuracy and costs", Nature Scientific Reports, 2015;5. Abstract/PDF DOI PMID Cited by ~36
  32. C. Sánchez, M. Niemeijer, M. Suttorp-Schulten, M. Abràmoff and B. van Ginneken, "Improving hard exudate detection in retinal images through a combination of local and contextual information", IEEE International Symposium on Biomedical Imaging, 2010:5-8. Abstract/PDF DOI Cited by ~33
  33. C. Sánchez, A. Mayo, M. García, M. López and R. Hornero, "Automatic image processing algorithm to detect hard exudates based on mixture models", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2006;1:4453-4456. Abstract DOI PMID Cited by ~33
  34. M. van Grinsven, Y. Lechanteur, J. van de Ven, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic Drusen Quantification and Risk Assessment of Age-related Macular Degeneration on Color Fundus Images", Investigative Ophthalmology and Visual Science, 2013;54(4):3019-3027. Abstract/PDF DOI PMID Cited by ~30
  35. J. Gómez-Valverde, A. Antón, G. Fatti, B. Liefers, A. Herranz, A. Santos, C. Sánchez and M. Ledesma-Carbayo, "Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning", Biomedical Optics Express, 2019;10(2):892-913. Abstract/PDF DOI PMID Cited by ~29
  36. J. Melendez, B. van Ginneken, P. Maduskar, R. Philipsen, H. Ayles and C. Sánchez, "On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis", IEEE Transactions on Medical Imaging, 2016;35(4):1013-1024. Abstract/PDF DOI PMID Cited by ~28
  37. R. Philipsen, P. Maduskar, L. Hogeweg, J. Melendez, C. Sánchez and B. van Ginneken, "Localized energy-based normalization of medical images: application to chest radiography", IEEE Transactions on Medical Imaging, 2015;34(9):1965-75. Abstract/PDF DOI PMID Cited by ~27
  38. M. van Grinsven, G. Buitendijk, C. Brussee, B. van Ginneken, C. Hoyng, T. Theelen, C. Klaver and C. Sánchez, "Automatic identification of reticular pseudodrusen using multimodal retinal image analysis", Investigative Ophthalmology and Visual Science, 2015;56(1):633-639. Abstract/PDF DOI PMID Cited by ~21
  39. M. van Grinsven, A. Chakravarty, J. Sivaswamy, T. Theelen, B. van Ginneken and C. Sánchez, "A bag of words approach for discriminating between retinal images containing exudates or drusen", IEEE International Symposium on Biomedical Imaging, 2013:1444-1447. Abstract/PDF DOI Cited by ~20
  40. H. Bogunovic, F. Venhuizen, S. Klimscha, S. Apostolopoulos, A. Bab-Hadiashar, U. Bagci, M. Beg, L. Bekalo, Q. Chen, C. Ciller, K. Gopinath, A. Gostar, K. Jeon, Z. Ji, S. Kang, D. Koozekanani, D. Lu, D. Morley, K. Parhi, H. Park, A. Rashno, M. Sarunic, S. Shaikh, J. Sivaswamy, R. Tennakoon, S. Yadav, S. De Zanet, S. Waldstein, B. Gerendas, C. Klaver, C. Sánchez and U. Schmidt-Erfurth, "RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge", IEEE Transactions on Medical Imaging, 2019;38(8):1858-1874. Abstract/PDF DOI PMID Cited by ~19
  41. P. Maduskar, R. Philipsen, J. Melendez, E. Scholten, D. Chanda, H. Ayles, C. Sánchez and B. van Ginneken, "Automatic detection of pleural effusion in chest radiographs", Medical Image Analysis, 2016;28:22-32. Abstract/PDF DOI PMID Cited by ~19
  42. R. Finger, S. Schmitz-Valckenberg, M. Schmid, G. Rubin, H. Dunbar, A. Tufail, D. Crabb, A. Binns, C. Sánchez, P. Margaron, G. Normand, M. Durbin, U. Luhmann, P. Zamiri, J. Cunha-Vaz, F. Asmus, F. Holz and O. behalf of the consortium, "MACUSTAR: Development and Clinical Validation of Functional, Structural, and Patient-Reported Endpoints in Intermediate Age-Related Macular Degeneration", Ophthalmologica, 2019;241(2):61-72. Abstract/PDF DOI PMID Cited by ~18
  43. R. Manniesing, M. Oei, L. Oostveen, J. Melendez, E. Smit, B. Platel, C. Sánchez, F. Meijer, M. Prokop and B. van Ginneken, "White Matter and Gray Matter Segmentation in 4D Computed Tomography", Nature Scientific Reports, 2017;7(119). Abstract/PDF DOI PMID Cited by ~17
  44. L. Hogeweg, C. Sánchez and B. van Ginneken, "Suppression of translucent elongated structures: applications in chest radiography", IEEE Transactions on Medical Imaging, 2013;32(11):2099-2113. Abstract/PDF DOI PMID Cited by ~17
  45. C. Sánchez, M. Niemeijer, M. Abràmoff and B. van Ginneken, "Active learning for an efficient training strategy of computer-aided diagnosis systems: application to diabetic retinopathy screening", Medical Image Computing and Computer-Assisted Intervention, 2010;6363:603-610. Abstract/PDF DOI PMID Cited by ~15
  46. B. Liefers, F. Venhuizen, V. Schreur, B. van Ginneken, C. Hoyng, S. Fauser, T. Theelen and C. Sánchez, "Automatic detection of the foveal center in optical coherence tomography", Biomedical Optics Express, 2017;8(11):5160-5178. Abstract/PDF DOI PMID Cited by ~13
  47. J. Melendez, C. Sánchez, R. Philipsen, P. Maduskar and B. van Ginneken, "Multiple-instance learning for computer-aided detection of tuberculosis", Medical Imaging, 2014;9035:90351J. Abstract/PDF DOI Cited by ~11
  48. J. Melendez, L. Hogeweg, C. Sánchez, R. Philipsen, R. Aldridge, A. Hayward, I. Abubakar, B. van Ginneken and A. Story, "Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening", International Journal of Tuberculosis and Lung Disease, 2018;22(5):567-571. Abstract/PDF DOI PMID Cited by ~10
  49. I. Fondon, M. van Grinsven, C. Sánchez and A. Saez, "Perceptually adapted method for optic disc detection on retinal fundus images", Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on, 2013:279-284. Abstract/PDF DOI Cited by ~10
  50. C. Sánchez, M. Niemeijer, T. Kockelkorn, M. Abràmoff and B. van Ginneken, "Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images", Medical Imaging, 2009;7260:72601I1-72601I8. Abstract/PDF DOI Cited by ~10
  51. C. González-Gonzalo, V. Sánchez-Gutiérrez, P. Hernández-Martínez, I. Contreras, Y. Lechanteur, A. Domanian, B. van Ginneken and C. Sánchez, "Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration", Acta Ophthalmologica, 2020;98(4):368-377. Abstract/PDF DOI PMID Cited by ~9
  52. J. Hoffman, M. van Grinsven, C. Li, M. Brantley Jr, J. McGrath, A. Agarwal, W. Scott, S. Schwartz, J. Kovach, M. Pericak-Vance, C. Sánchez and J. Haines, "Genetic Association Analysis of Drusen Progression", Investigative Ophthalmology and Visual Science, 2016;57(4):2225-2231. Abstract/PDF DOI PMID Cited by ~9
  53. N. Saksens, E. Kersten, J. Groenewoud, M. van Grinsven, J. van de Ven, C. Sánchez, T. Schick, S. Fauser, A. den Hollander, C. Hoyng and C. Boon, "Clinical characteristics of familial and sporadic age-related macular degeneration: differences and similarities", Investigative Ophthalmology and Visual Science, 2014;55:7085-7092. Abstract/PDF DOI PMID Cited by ~9
  54. T. Heesterbeek, E. de Jong, I. Acar, J. Groenewoud, B. Liefers, C. Sánchez, T. Peto, C. Hoyng, D. Pauleikhoff, H. Hense and A. den Hollander, "Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration", Nature Scientific Reports, 2019;9(1):6611. Abstract/PDF DOI PMID Cited by ~7
  55. L. Gallardo-Estrella, E. Pompe, P. de Jong, C. Jacobs, E. van Rikxoort, M. Prokop, C. Sánchez and B. van Ginneken, "Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality", PLoS One, 2017;12(12):e0188902. Abstract/PDF DOI PMID Cited by ~7
  56. M. van Grinsven, T. Theelen, L. Witkamp, J. van der Heijden, J. van de Ven, C. Hoyng, B. van Ginneken and C. Sánchez, "Automatic differentiation of color fundus images containing drusen or exudates using a contextual spatial pyramid approach", Biomedical Optics Express, 2016;7(3):709-725. Abstract/PDF DOI PMID Cited by ~7
  57. J. Melendez, C. Sánchez, B. van Ginneken and N. Karssemeijer, "Improving mass candidate detection in mammograms via feature maxima propagation and local feature selection", Medical Physics, 2014;41(8):081904. Abstract/PDF DOI PMID Cited by ~7
  58. L. Hogeweg, C. Sánchez, J. Melendez, P. Maduskar, A. Story, A. Hayward and B. van Ginneken, "Foreign object detection and removal to improve automated analysis of chest radiographs", Medical Physics, 2013;40(7):071901. Abstract/PDF DOI PMID Cited by ~6
  59. B. van Ginneken, R. Philipsen, L. Hogeweg, P. Maduskar, J. Melendez, C. Sánchez, R. Maane, B. dei Alorse, U. d'Alessandro and I. Adetifa, "Automated Scoring of Chest Radiographs for Tuberculosis Prevalence Surveys: A Combined Approach", The Fifth International Workshop on Pulmonary Image Analysis, 2013:9-19. Abstract/PDF Cited by ~5
  60. M. García, C. Sánchez, A. Díez, M. López and R. Hornero, "Detection of hard exudates based on neural networks as a diagnostic aid in the screening for diabetic retinopathy", Telemedicine in Future Health, 2006. Abstract Cited by ~5
  61. L. Hogeweg, C. Sánchez, P. Maduskar, R. Philipsen and B. van Ginneken, "Fast and effective quantification of symmetry in medical images for pathology detection: application to chest radiography", Medical Physics, 2017;44(6):2242-2256. Abstract/PDF DOI PMID Cited by ~4
  62. B. Liefers, F. Venhuizen, T. Theelen, C. Hoyng, B. van Ginneken and C. Sánchez, "Fovea Detection in Optical Coherence Tomography using Convolutional Neural Networks", Medical Imaging, 2017;10133:1013302. Abstract/PDF DOI Cited by ~4
  63. M. van Grinsven, Y. Lechanteur, J. van de Ven, B. van Ginneken, T. Theelen and C. Sánchez, "Automatic Age-related macular degeneration detection and staging", Medical Imaging, 2013;8670:86700M. Abstract/PDF DOI Cited by ~4
  64. M. López, C. Sánchez and R. Hornero, "Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy", Association for Research in Vision and Ophthalmology, 2003. Abstract Cited by ~4
  65. C. González-Gonzalo, B. Liefers, B. van Ginneken and C. Sánchez, "Improving weakly-supervised lesion localization with iterative saliency map refinement", Medical Imaging with Deep Learning, 2018. Abstract/PDF Url Cited by ~3
  66. M. van Grinsven, F. Venhuizen, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic detection of hemorrhages on color fundus images using deep learning", Association for Research in Vision and Ophthalmology, 2016. Abstract Cited by ~3
  67. T. Kockelkorn, R. Ramos, J. Ramos, C. Sánchez, P. de Jong, C. Schaefer-Prokop, J. Grutters, B. van Ginneken and M. Viergever, "Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: a simulation study", International Conference on Pattern Recognition, 2012:105-108. Abstract/PDF Cited by ~3
  68. D. Abásolo, C. Gómez, J. Poza, M. García, C. Sánchez and M. López, "EEG background activity analysis in Alzheimer's disease patients with sample entropy", International Conference on Computational Bioengineering, 2005:1067-1076. Abstract Cited by ~3
  69. B. Liefers, J. Colijn, C. González-Gonzalo, T. Verzijden, J. Wang, N. Joachim, P. Mitchell, C. Hoyng, B. van Ginneken, C. Klaver and C. Sánchez, "A deep learning model for segmentation of geographic atrophy to study its long-term natural history", Ophthalmology, 2020. Abstract/PDF DOI PMID Cited by ~2
  70. V. Schreur, A. de Breuk, F. Venhuizen, C. Sánchez, C. Tack, B. Klevering, E. de Jong and C. Hoyng, "Retinal hyperreflective foci in type 1 diabetes mellitus", Retina, 2019. Abstract/PDF DOI PMID Cited by ~2
  71. B. Liefers, C. González-Gonzalo, C. Klaver, B. van Ginneken and C. Sánchez, "Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography", Medical Imaging with Deep Learning, 2019;102:337-346. Abstract/PDF Url Cited by ~2
  72. J. Gomez, C. Sánchez, B. Liefers, F. Venhuizen, G. Fatti, A. Morilla-Grasa, Y. Cartagena, A. Cabarcos, A. Santos, M. Ledesma-Carbayo and A. Anton-Lopez, "Automated Analysis of Retinal Images for detection of Glaucoma based on Convolutional Neural Networks", Association for Research in Vision and Ophthalmology, 2017. Abstract Cited by ~2
  73. P. Maduskar, L. Hogeweg, P. de Jong, L. Peters-Bax, R. Dawson, H. Ayles, C. Sánchez and B. van Ginneken, "Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming", Medical Physics, 2014;41(7):071912-1 - 071912-15. Abstract/PDF DOI PMID Cited by ~2
  74. H. van Zeeland, J. Meakin, B. Liefers, C. González-Gonzalo, A. Vaidyanathan, B. van Ginneken, C. Klaver and C. Sánchez, "EyeNED workstation: Development of a multi-modal vendor-independent application for annotation, spatial alignment and analysis of retinal images", Association for Research in Vision and Ophthalmology, 2019. Abstract Cited by ~1
  75. J. Melendez, C. Sánchez, R. Hupse, B. van Ginneken and N. Karssemeijer, "Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography", IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, 2012;7361:682-689. Abstract/PDF DOI Cited by ~1
  76. R. Hornero, C. Sánchez and M. López, "Automated retinal image analysis in a teleophthalmology diabetic retinopathy screening program", Telemedicine Journal and e-Health, 2004. Abstract Cited by ~1