Publications of Clarisa Sánchez

Papers in international journals

1. C. de Vente, B. van Ginneken, C. Hoyng, C. Klaver and C. Sánchez, "Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography", Medical Image Analysis, 2024;97:103259.
   Abstract DOI PMID
2. L. Maier-Hein, A. Reinke, P. Godau, M. Tizabi, F. Buettner, E. Christodoulou, B. Glocker, F. Isensee, J. Kleesiek, M. Kozubek, M. Reyes, M. Riegler, M. Wiesenfarth, A. Kavur, C. Sudre, M. Baumgartner, M. Eisenmann, D. Heckmann-Nötzel, T. Rädsch, L. Acion, M. Antonelli, T. Arbel, S. Bakas, A. Benis, M. Blaschko, M. Cardoso, V. Cheplygina, B. Cimini, G. Collins, K. Farahani, L. Ferrer, A. Galdran, B. van Ginneken, R. Haase, D. Hashimoto, M. Hoffman, M. Huisman, P. Jannin, C. Kahn, D. Kainmueller, B. Kainz, A. Karargyris, A. Karthikesalingam, F. Kofler, A. Kopp-Schneider, A. Kreshuk, T. Kurc, B. Landman, G. Litjens, A. Madani, K. Maier-Hein, A. Martel, P. Mattson, E. Meijering, B. Menze, K. Moons, H. Müller, B. Nichyporuk, F. Nickel, J. Petersen, N. Rajpoot, N. Rieke, J. Saez-Rodriguez, C. Sánchez, S. Shetty, M. van Smeden, R. Summers, A. Taha, A. Tiulpin, S. Tsaftaris, B. Van Calster, G. Varoquaux and P. Jäger, "Metrics reloaded: recommendations for image analysis validation", Nature Methods, 2024;21:195-212.
   Abstract DOI PMID Cited by ~50
3. A. Reinke, M. Tizabi, M. Baumgartner, M. Eisenmann, D. Heckmann-Nötzel, A. Kavur, T. Rädsch, C. Sudre, L. Acion, M. Antonelli, T. Arbel, S. Bakas, A. Benis, F. Buettner, M. Cardoso, V. Cheplygina, J. Chen, E. Christodoulou, B. Cimini, K. Farahani, L. Ferrer, A. Galdran, B. van Ginneken, B. Glocker, P. Godau, D. Hashimoto, M. Hoffman, M. Huisman, F. Isensee, P. Jannin, C. Kahn, D. Kainmueller, B. Kainz, A. Karargyris, J. Kleesiek, F. Kofler, T. Kooi, A. Kopp-Schneider, M. Kozubek, A. Kreshuk, T. Kurc, B. Landman, G. Litjens, A. Madani, K. Maier-Hein, A. Martel, E. Meijering, B. Menze, K. Moons, H. Müller, B. Nichyporuk, F. Nickel, J. Petersen, S. Rafelski, N. Rajpoot, M. Reyes, M. Riegler, N. Rieke, J. Saez-Rodriguez, C. Sánchez, S. Shetty, R. Summers, A. Taha, A. Tiulpin, S. Tsaftaris, B. Van Calster, G. Varoquaux, Z. Yaniv, P. Jäger and L. Maier-Hein, "Understanding metric-related pitfalls in image analysis validation", Nature Methods, 2024;21:182-194.
   Abstract DOI PMID Cited by ~17
4. C. De Vente, K. Vermeer, N. Jaccard, H. Wang, H. Sun, F. Khader, D. Truhn, T. Aimyshev, Y. Zhanibekuly, T. Le, A. Galdran, M. Ballester, G. Carneiro, R. Devika, P. Hrishikesh, D. Puthussery, H. Liu, Z. Yang, S. Kondo, S. Kasai, E. Wang, A. Durvasula, J. Heras, M. Zapata, T. Araújo, G. Aresta, H. Bogunović, M. Arikan, Y. Lee, H. Cho, Y. Choi, A. Qayyum, I. Razzak, B. Van Ginneken, H. Lemij and C. Sánchez, "AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge", IEEE Transactions on Medical Imaging, 2023:1-1.
   Abstract DOI Cited by ~11
5. C. de Vente, L. Boulogne, K. Venkadesh, C. Sital, N. Lessmann, C. Jacobs, C. Sánchez and B. van Ginneken, "Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison", IEEE Transactions on Artificial Intelligence, 2022;3(2):129-138.
   Abstract DOI PMID Download Cited by ~19
6. C. González-Gonzalo, E. Thee, C. Klaver, A. Lee, R. Schlingemann, A. Tufail, F. Verbraak and C. Sánchez, "Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice", Progress in Retinal and Eye Research, 2021.
   Abstract DOI PMID Cited by ~35
7. G. Bortsova, C. González-Gonzalo, S. Wetstein, F. Dubost, I. Katramados, L. Hogeweg, B. Liefers, B. van Ginneken, J. Pluim, M. Veta, C. Sánchez and M. de Bruijne, "Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors", Medical Image Analysis, 2021:102141.
   Abstract DOI PMID arXiv Download Cited by ~28
8. J. Colijn, B. Liefers, N. Joachim, T. Verzijden, M. Meester-Smoor, M. Biarnés, J. Monés, P. de Jong, J. Vingerling, P. Mitchell, C. Sánchez, J. Wang, C. Klaver, E. Center and E. Consortium, "Enlargement of Geographic Atrophy From First Diagnosis to End of Life", JAMA Ophthalmology, 2021;139:743.
   Abstract DOI PMID Cited by ~12
9. B. Liefers, P. Taylor, A. Alsaedi, C. Bailey, K. Balaskas, N. Dhingra, C. Egan, F. Rodrigues, C. González-Gonzalo, T. Heeren, A. Lotery, P. Muller, A. Olvera-Barrios, B. Paul, R. Schwartz, D. Thomas, A. Warwick, A. Tufail and C. Sánchez, "Quantification of key retinal features in early and late age-related macular degeneration using deep learning", American Journal of Ophthalmology, 2021;226:1-12.
   Abstract DOI PMID Cited by ~29
10. N. Lessmann, C. Sánchez, L. Beenen, L. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W. van Everdingen, P. Gerke, B. Geurts, H. Gietema, M. Groeneveld, L. van Harten, N. Hendrix, W. Hendrix, H. Huisman, I. Isgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. van Leeuwen, J. Meakin, M. Overkamp, T. van Rees Vellinga, E. van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E. Scholten, C. Sital, L. Stöger, J. Teuwen, K. Vaidhya Venkadesh, C. de Vente, M. Vermaat, W. Xie, B. de Wilde, M. Prokop and B. van Ginneken, "Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence", Radiology, 2021;298(1):E18-E28.
    Abstract DOI PMID Algorithm Download Cited by ~112
11. C. González-Gonzalo, B. Liefers, B. van Ginneken and C. Sánchez, "Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks: application to color fundus images", IEEE Transactions on Medical Imaging, 2020;39(11):3499-3511.
    Abstract DOI PMID Cited by ~20
12. J. Terheyden, F. Holz, S. Schmitz-Valckenberg, A. Lüning, M. Schmid, G. Rubin, H. Dunbar, A. Tufail, D. Crabb, A. Binns, C. Sánchez, C. Hoyng, P. Margaron, N. Zakaria, M. Durbin, U. Luhmann, P. Zamiri, J. Cunha-Vaz, C. Martinho, S. Leal, R. Finger, P. Basile, C. Behning, M. Berger, A. Binns, M. Böttger, C. Bouchet, J. Brazier, T. Butt, C. Carapezzi, J. Carlton, A. Charil, R. Coimbra, S. Nunes, D. Crabb, J. Cunha-Vaz, H. Dunbar, M. Durbin, R. Finger, F. Holz, C. Hoyng, J. Krätzschmar, S. Leal, U. Luhmann, A. Lüning, P. Margaron, C. Martinho, B. Melício, S. Mohand-Saïd, D. Rowen, G. Rubin, J. Sahel, C. Sánchez, D. Sanches Fernandes, M. Schmid, S. Schmitz-Valckenberg, A. Skelly, L. Stöhr, D. Taylor, J. Terheyden, A. Tufail, L. Vieweg, L. Wintergerst, C. Wojek, N. Zakaria, P. Zamiri and O. behalf of the consortium, "Clinical study protocol for a low-interventional study in intermediate age-related macular degeneration developing novel clinical endpoints for interventional clinical trials with a regulatory and patient access intention--MACUSTAR", Trials, 2020;21.
    Abstract DOI PMID Cited by ~20
13. 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;127(8):1086-1096.
    Abstract DOI PMID arXiv Cited by ~42
14. 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 DOI PMID Cited by ~69
15. E. Thee, D. Luttikhuizen, H. Lemij, F. Verbraak, C. Sánchez and C. Klaver, "Artificial intelligence for eye care", Nederlands Tijdschrift voor Geneeskunde, 2020.
    Abstract Url
16. D. Valkenburg, E. Runhart, N. Bax, B. Liefers, S. Lambertus, C. Sánchez, F. Cremers and C. Hoyng, "Highly variable disease courses in siblings with Stargardt disease", Ophthalmology, 2019;126(12):1712-1721.
    Abstract DOI PMID Cited by ~17
17. R. Philipsen, C. Sánchez, J. Melendez, W. Lew and B. van Ginneken, "Automated chest X-ray reading for tuberculosis in the Philippines to improve case detection: a cohort study", International Journal of Tuberculosis and Lung Disease, 2019;23(7):805-810.
    Abstract DOI PMID Download Cited by ~11
18. 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 DOI PMID Cited by ~12
19. 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", Scientific Reports, 2019;9(1):6611.
    Abstract DOI PMID Cited by ~20
20. 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 DOI PMID Cited by ~149
21. 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 DOI PMID Cited by ~138
22. 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 DOI PMID Cited by ~69
23. F. Venhuizen, B. van Ginneken, B. Liefers, F. van Asten, V. Schreur, S. Fauser, C. Hoyng, T. Theelen and C. Sánchez, "A Deep Learning Approach for Detection and Quantification of Intraretinal Cystoid Fluid in Multivendor Optical Coherence Tomography", Biomedical Optics Express, 2018;9(4):1545-1569.
    Abstract DOI PMID Cited by ~117
24. 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 DOI PMID Cited by ~22
25. 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 DOI PMID Cited by ~11
26. 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 DOI PMID Cited by ~30
27. 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 DOI PMID arXiv Download Cited by ~3681
28. 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 DOI PMID Cited by ~114
29. 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", Scientific Reports, 2017;7(1):5110.
    Abstract DOI PMID arXiv Cited by ~211
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 DOI PMID Cited by ~95
31. 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", Scientific Reports, 2017;7(119).
    Abstract DOI PMID Cited by ~24
32. 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 DOI PMID Download Cited by ~6
33. 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 DOI PMID Download Cited by ~774
34. 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 DOI PMID Cited by ~10
35. 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", Scientific Reports, 2016;6:26286.
    Abstract DOI PMID Cited by ~836
36. 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", Scientific Reports, 2016;6:25265.
    Abstract DOI PMID Cited by ~108
37. 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 DOI PMID Cited by ~103
38. 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 DOI PMID Download Cited by ~997
39. 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 DOI PMID Download Cited by ~380
40. 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 DOI PMID Download Cited by ~40
41. 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 DOI PMID Cited by ~48
42. 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", Scientific Reports, 2015;5.
    Abstract DOI PMID Cited by ~63
43. 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 DOI PMID Cited by ~159
44. 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 DOI PMID Download Cited by ~38
45. 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 DOI PMID Cited by ~73
46. 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 DOI PMID Download Cited by ~40
47. 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 DOI PMID Cited by ~107
48. 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 DOI PMID Cited by ~9
49. 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 DOI PMID Download Cited by ~7
50. 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 DOI PMID Download Cited by ~7
51. 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 DOI PMID Download Cited by ~29
52. 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 DOI PMID Download Cited by ~8
53. 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 DOI PMID Download Cited by ~43
54. 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 DOI PMID Download Cited by ~59
55. 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 DOI PMID Download Cited by ~78
56. 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 DOI PMID Download Cited by ~45
57. 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 DOI PMID Cited by ~118
58. 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 DOI PMID Download Cited by ~519
59. 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 DOI PMID Cited by ~228
60. 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 DOI PMID Cited by ~73
61. 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 DOI PMID Cited by ~196
62. 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 DOI PMID Cited by ~56
63. 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 DOI PMID Cited by ~183
64. 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 DOI PMID Cited by ~83
65. 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 DOI PMID Cited by ~233

Preprints

1. E. Sogancioglu, B. van Ginneken, F. Behrendt, M. Bengs, A. Schlaefer, M. Radu, D. Xu, K. Sheng, F. Scalzo, E. Marcus, S. Papa, J. Teuwen, E. Scholten, S. Schalekamp, N. Hendrix, C. Jacobs, W. Hendrix, C. Sánchez and K. Murphy, "Nodule detection and generation on chest X-rays: NODE21 Challenge", arXiv:2401.02192, 2024.
   Abstract DOI PMID arXiv
2. G. Bortsova, C. González-Gonzalo, S. Wetstein, F. Dubost, I. Katramados, L. Hogeweg, B. Liefers, B. van Ginneken, J. Pluim, M. Veta, C. Sánchez and M. de Bruijne, "Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors", arXiv:2006.06356, 2020.
   Abstract DOI arXiv Cited by ~4
3. P. Muller, B. Liefers, T. Treis, F. Gomes Rodrigues, A. Olvera-Barrios, B. Paul, N. Dhingra, A. Lotery, C. Bailey, P. Taylor, C. Sánchez and A. Tufail, "Reliability of retinal pathology quantification in age-related macular degeneration: Implications for clinical trials and machine learning applications", medrxiv, 2020.
   Abstract DOI Cited by ~13
4. C. González-Gonzalo, B. Liefers, B. van Ginneken and C. Sánchez, "Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks", arXiv:1910.07373, 2019.
   Abstract arXiv
5. B. Liefers, J. Colijn, C. González-Gonzalo, T. Verzijden, 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", arXiv:1908.05621, 2019.
   Abstract arXiv Cited by ~36

Papers in conference proceedings

1. 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 Url Cited by ~11
2. 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 Url Cited by ~4
3. 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 DOI Cited by ~4
4. 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 DOI Cited by ~73
5. 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 DOI Cited by ~13
6. 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 DOI Cited by ~24
7. 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 Cited by ~5
8. 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 DOI Cited by ~5
9. 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 DOI Cited by ~10
10. 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 Cited by ~3
11. 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 DOI Cited by ~1
12. 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 DOI PMID Download Cited by ~40
13. 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 DOI PMID Cited by ~21
14. 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 DOI Cited by ~37
15. 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 DOI Cited by ~76
16. 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 DOI Cited by ~11
17. 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 DOI PMID Cited by ~54
18. 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
19. 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
20. 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
21. C. Sánchez, M. López, M. García, A. Mayo and R. Hornero, "Automated retinal image analysis in a diabetic retinopathy telescreening program", Telemedicine in Future Health, 2006.
    Abstract
22. J. Poza, G. Vecilla, R. Hornero, M. López, C. Sánchez and A. Díez, "TeleOftalWeb 3.0: Web-based ophthalmologic medical record", Telemedicine in Future Health, 2006.
    Abstract
23. 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
24. 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
25. 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
26. R. Hornero, D. Abásolo, J. Poza, C. Sánchez, P. Espino and R. de la Rosa, "Use of wavelets packets to compare electroencephalogram signal (EEG) in patiens with Alzheimer's disease and control subjects", International Workshop of Systems, Signals and Image Processing, 2004:35-38.
    Abstract
27. 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

Abstracts

1. C. González-Gonzalo, E. Thee, B. Liefers, C. de Vente, C. Klaver and C. Sánchez, "Hierarchical curriculum learning for robust automated detection of low-prevalence retinal disease features: application to reticular pseudodrusen", Association for Research in Vision and Ophthalmology, 2021.
   Abstract Url
2. C. de Vente, C. González-Gonzalo, E. Thee, M. van Grinsven, C. Klaver and C. Sánchez, "Making AI Transferable Across OCT Scanners from Different Vendors", Association for Research in Vision and Ophthalmology, 2021.
   Abstract Url
3. C. González-Gonzalo, F. Verbraak, R. Schlingemann, C. Klaver, A. Lee, A. Tufail and C. Sánchez, "Trustworthy AI: closing the gap between development and integration of AI in Ophthalmology", European Association for the Study of Diabetes Eye Complications Study Group, 2021.
   Abstract Url
4. C. González-Gonzalo, E. Thee, B. Liefers, C. Klaver and C. Sánchez, "Deep learning for automated stratification of ophthalmic images: Application to age-related macular degeneration and color fundus images", European Society of Retina Specialists, 2021.
   Abstract Url
5. A. Ardu, B. Liefers, C. de Vente, C. González-Gonzalo, C. Klaver and C. Sánchez, "Artificial Intelligence for the Classification and Quantification of Reticular Pseudodrusen in Multimodal Retinal Images", European Society of Retina Specialists, 2020.
   Abstract Url
6. B. Liefers, P. Taylor, C. González-Gonzalo, A. Tufail and C. Sánchez, "Achieving expert level performance in quantifying 13 distinctive features of neovascular age-related macular degeneration on optical coherence tomography", European Society of Retina Specialists, 2020.
   Abstract Url
7. C. de Vente, M. van Grinsven, S. De Zanet, A. Mosinska, R. Sznitman, C. Klaver and C. Sánchez, "Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography", Association for Research in Vision and Ophthalmology, 2020.
   Abstract Cited by ~2
8. C. González-Gonzalo, S. Wetstein, G. Bortsova, B. Liefers, B. van Ginneken and C. Sánchez, "Are adversarial attacks an actual threat for deep learning systems in real-world eye disease screening settings?", European Society of Retina Specialists, 2020.
   Abstract Url
9. D. Valkenburg, E. Runhart, B. Liefers, S. Lambertus, C. Sánchez, F. Cremers, B. Nathalie M and C. Hoyng, "Familial discordance in disease phenotype in siblings with Stargardt disease", Association for Research in Vision and Ophthalmology, 2019.
   Abstract
10. 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
11. J. Engelberts, C. González-Gonzalo, C. Sánchez and M. van Grinsven, "Automatic Segmentation of Drusen and Exudates on Color Fundus Images using Generative Adversarial Networks", Association for Research in Vision and Ophthalmology, 2019.
    Abstract Cited by ~1
12. C. González-Gonzalo, B. Liefers, A. Vaidyanathan, H. van Zeeland, C. Klaver and C. Sánchez, "Opening the "black box" of deep learning in automated screening of eye diseases", Association for Research in Vision and Ophthalmology, 2019.
    Abstract Url
13. B. Liefers, J. Colijn, C. González-Gonzalo, A. Vaidyanathan, H. van Zeeland, P. Mitchell, C. Klaver and C. Sánchez, "Prediction of areas at risk of developing geographic atrophy in color fundus images using deep learning", Association for Research in Vision and Ophthalmology, 2019.
    Abstract
14. 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
15. F. Venhuizen, S. Schaffhauser, V. Schreur, B. Liefers, B. van Ginneken, C. Hoyng, T. Theelen, E. de Jong and C. Sánchez, "Fully automated detection of hyperreflective foci in optical coherence tomography", Association for Research in Vision and Ophthalmology, 2017.
    Abstract
16. B. Liefers, F. Venhuizen, V. Schreur, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic detection of the foveal center in optical coherence tomography", Association for Research in Vision and Ophthalmology, 2017.
    Abstract
17. B. Liefers, V. Schreur, T. Theelen and C. Sánchez, "Registration and grading of micro-aneurysms in Fluorescein Angiography and OCT Angiography", 4th International Congress on OCT Angiography and Advances in OCT, 2016.
    Abstract
18. 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 ~6
19. F. Venhuizen, M. van Grinsven, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Fully automated quantification of intraretinal cysts in 3D optical coherence tomography", Association for Research in Vision and Ophthalmology, 2016.
    Abstract Cited by ~11
20. P. Maduskar, I. Adetifa, J. van den Hombergh, E. Leroy-Terquem, A. Fasan-Odunsi, C. Sánchez, U. d'Alessandro and B. van Ginneken, "Computerized Reading of Chest Radiographs in The Gambia National Tuberculosis Prevalence Survey: Retrospective Comparison with Human Experts", Union World Conference on Lung Health, 2015.
    Abstract
21. F. Venhuizen, M. van Grinsven, C. Hoyng, T. Theelen, B. van Ginneken and C. Sánchez, "Vendor Independent Cyst Segmentation in Retinal SD-OCT Volumes using a Combination of Multiple Scale Convolutional Neural Networks", Medical Image Computing and Computer-Assisted Intervention, 2015.
    Abstract Cited by ~13
22. F. Venhuizen, M. Breukink, B. van Ginneken, M. van Grinsven, B. Bloemen, C. Hoyng, T. Theelen, C. Boon and C. Sánchez, "Automated Quantification of Subretinal Fluid in Central Serous Chorioretinopathy in 3D Optical Coherence Tomography Images", Association for Research in Vision and Ophthalmology, 2015.
    Abstract
23. R. Philipsen, C. Sánchez, P. Maduskar, J. Melendez, B. van Ginneken and W. Lew, "Objective Computerized Chest Radiography Screening to Detect Tuberculosis in the Philippines", Union World Conference on Lung Health, 2015.
    Abstract
24. C. Sánchez, S. Lambertus, B. Bloemen, N. Bax, F. Venhuizen, M. van Grinsven, B. van Ginneken, T. Theelen and C. Hoyng, "Automatic quantification of geographic atrophy in fundus autofluorescence images of Stargardt patients", Association for Research in Vision and Ophthalmology, 2015.
    Abstract Cited by ~3
25. M. van Grinsven, F. Venhuizen, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic detection of eye diseases using automated color fundus image analysis", Association for Research in Vision and Ophthalmology, 2015.
    Abstract
26. R. Philipsen, P. Maduskar, L. Hogeweg, J. Melendez, C. Sánchez and B. van Ginneken, "Robust Computer-Aided Detection of Tuberculosis in Chest Radiographs Using Energy Normalization", Annual Meeting of the Radiological Society of North America, 2014.
    Abstract
27. M. van Grinsven, G. Buitendijk, C. Brussee, B. van Ginneken, T. Theelen, C. Klaver and C. Sánchez, "Automatic detection of reticular drusen using multimodal retinal image analysis", Association for Research in Vision and Ophthalmology, 2014.
    Abstract
28. B. van Ginneken, L. Hogeweg, P. Maduskar, L. Peters-Bax, R. Dawson, K. Dheda, H. Ayles, J. Melendez and C. Sánchez, "Performance of inexperienced and experienced observers in detection of active tuberculosis on digital chest radiographs with and without the use of computer-aided diagnosis", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
29. M. van Grinsven, J. van de Ven, Y. Lechanteur, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic Drusen Detection and Quantification for Diagnosis of Age-Related Macular Degeneration", Association for Research in Vision and Ophthalmology, 2012.
    Abstract
30. J. Melendez, C. Sánchez, B. van Ginneken and N. Karssemeijer, "Detection of breast carcinomas potentially missed during screening by means of a standalone CAD system", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
31. B. Platel, T. Welte, R. Mus, R. Mann, C. Sánchez, H. Hahn and N. Karssemeijer, "Automated Evaluation of an Ultrafast MR Imaging Protocol for the Characterization of Breast Lesions", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
32. M. van Grinsven, B. van Ginneken and C. Sánchez, "Web-based workstation for the analysis of color fundus images", ISBI Medical Image Analysis Workshop, 2012.
    Abstract

PhD theses

1. C. González-Gonzalo, "Trustworthy AI for automated screening of retinal diseases", PhD thesis, 2023.
   Abstract Url
2. F. Venhuizen, "Machine Learning for Quantification of Age-Related Macular Degeneration Imaging Biomarkers in Optical Coherence Tomography", PhD thesis, 2019.
   Abstract Url
3. P. Maduskar, "Automated analysis of tuberculosis in chest radiographs", PhD thesis, 2015.
   Abstract Url
4. J. Melendez, "Improving computer-aided detection systems through advanced pattern recognition techniques", PhD thesis, 2015.
   Abstract Url
5. L. Hogeweg, "Automatic detection of tuberculosis in chest radiographs", PhD thesis, 2013.
   Abstract Url Cited by ~10
6. C. Sánchez, "Retinal image analysis by mixture model based clustering and discriminant analysis for automatic detection of hard exudates and haemorhages: A tool for diabetic retinopathy screening", PhD thesis, 2008.
   Abstract