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journal articles
63TOTAL RESOURCES
S. S. Płotka, M. K. Grzeszczyk, P. I. Szenejko, K. Żebrowska, N. A Szymecka-Samaha, T. Łęgowik, M. A Lipa, K. Kosińska-Kaczyńska, R. Brawura-Biskupski-Samaha, I. Išgum, C. I. Sánchez, A. Sitek, "Deep learning for estimation of fetal weight throughout the pregnancy from fetal abdominal ultrasound", American journal of obstetrics & gynecology MFM, 2023; 5 (12): 101182.S. Płotka, M. K. Grzeszczyk, R. Brawura-Biskupski-Samaha, P. Gutaj, M. Lipa, T. Trzciński, I. Išgum, C. I. Sánchez, A. Sitek, "Fetal birth weight prediction using biometry multimodal data acquired less than 24 h before delivery", Computers in Biology and Medicine, 2023 (107602).
R. Schwartz, H. Khalid, S. Liakopoulos, Y. Ouyang, C. de Vente, C. González-Gonzalo, A.Y. Lee, R. Guymer, E.Y. Chew and C. Egan, "A Deep Learning Framework for the Detection and Quantification of Reticular Pseudodrusen and Drusen on Optical Coherence Tomography", Translational Vision Science & Technology, 2022; 11 (12): 3-Mar.
C. González-Gonzalo, E. F. Thee, C. W. Klaver, A. Y. Lee, R. O. Schlingemann, A. Tufail, F. Verbraak and C. I. Sánchez, "Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice", Progress in Retinal and Eye Research, 2022; 90: 101034.
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, 2021; 3 (2): 129-138.
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; 73: 102141.
N. Lessmann, C. I. Sánchez, L. Beenen, L. H. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W. M. van Everdingen, P. K. Gerke, B. Geurts, H. A. Gietema, M. Groeneveld, L. van Harten, N. Hendrix, W. Hendrix, H. J. 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. M. van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E. T. 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.
B. Liefers, P. Taylor, A. Alsaedi, C. Bailey, K. Balaskas, N. Dhingra, C. A. Egan, F. G. Rodrigues, C. González-Gonzalo, T. F. C. Heeren, A. Lotery, P. L. Muller, A. Olvera-Barrios, B. Paul, R. Schwartz, D. S. Thomas, A. N. Warwick, A. Tufail and C. I. Sánchez, "Quantification of key retinal features in early and late age-related macular degeneration using deep learning", American Journal of Ophthalmology, 2021.
E. F. Thee, D. T. Luttikhuizen, H. G. Lemij, F. D. Verbraak, C. I. Sánchez and C. C. W. Klaver, "Artificial intelligence for eye care", Nederlands Tijdschrift voor Geneeskunde, 2020.
B. Liefers, J. M. Colijn, C. González-Gonzalo, T. Verzijden, J. J. Wang, N. Joachim, P. Mitchell, C. B. Hoyng, B. van Ginneken, C. C. Klaver and C. I. Sánchez, "A deep learning model for segmentation of geographic atrophy to study its long-term natural history", Ophthalmology, 2020; 127 (8): 1086-1096.
C. González-Gonzalo, B. Liefers, B. van Ginneken and C. I. 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.
C. González-Gonzalo, V. Sánchez-Gutiérrez, P. Hernández-Martínez, I. Contreras, Y. T. Lechanteur, A. Domanian, B. van Ginneken and C. I. 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.
V. Schreur, A. Domanian, B. Liefers, F. G. Venhuizen, B. J. Klevering, C. B. Hoyng, E. K. de Jong and T. Theelen, "Morphological and topographical appearance of microaneurysms on optical coherence tomography angiography", British Journal of Ophthalmology, 2019; 103 (5): 630-635.
V. Schreur, A. de Breuk, F. G. Venhuizen, C. I. Sánchez, C. J. Tack, B. J. Klevering, E. K. de Jong and C. B. Hoyng, "Retinal hyperreflective foci in type 1 diabetes mellitus", Retina, 2019.
D. Valkenburg, E. H. Runhart, N. M. Bax, B. Liefers, S. L. Lambertus, C. I. Sánchez, F. P. Cremers and C. B. Hoyng, "Highly variable disease courses in siblings with Stargardt disease", Ophthalmology, 2019; 126: 1712-1721.
T. J. Heesterbeek, E. K. de Jong, I. E. Acar, J. M. M. Groenewoud, B. Liefers, C. I. Sánchez, T. Peto, C. B. Hoyng, D. Pauleikhoff, H. W. Hense and A. I. 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: 6611.
R. P. Finger, S. Schmitz-Valckenberg, M. Schmid, G. S. Rubin, H. Dunbar, A. Tufail, D. P. Crabb, A. Binns, C. I. Sánchez, P. Margaron, G. Normand, M. K. Durbin, U. F. O. Luhmann, P. Zamiri, J. Cunha-Vaz, F. Asmus, F. G. Holz and O. M. 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: 61-72.
J. J. Gómez-Valverde, A. Antón, G. Fatti, B. Liefers, A. Herranz, A. Santos, C. I. Sánchez and M. J. 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.
H. Bogunovic, F. Venhuizen, S. Klimscha, S. Apostolopoulos, A. Bab-Hadiashar, U. Bagci, M. F. Beg, L. Bekalo, Q. Chen, C. Ciller, K. Gopinath, A. K. Gostar, K. Jeon, Z. Ji, S. H. Kang, D. D. Koozekanani, D. Lu, D. Morley, K. K. Parhi, H. S. Park, A. Rashno, M. Sarunic, S. Shaikh, J. Sivaswamy, R. Tennakoon, S. Yadav, S. De Zanet, S. M. Waldstein, B. S. Gerendas, C. Klaver, C. I. Sánchez and U. Schmidt-Erfurth, "RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge", IEEE Transactions on Medical Imaging, 2019; 38: 1858-1874.
F. G. Venhuizen, B. van Ginneken, B. Liefers, F. van Asten, V. Schreur, S. Fauser, C. B. Hoyng, T. Theelen and C. I. 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.
J. Melendez, L. Hogeweg, C. I. Sánchez, R. H. H. M. Philipsen, R. W. Aldridge, A. C. 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.
F. G. Venhuizen, B. van Ginneken, F. van Asten, M. J. van Grinsven, S. Fauser, C. B. Hoyng, T. Theelen and C. I. Sánchez, "Automated Staging of Age-Related Macular Degeneration Using Optical Coherence Tomography", Investigative Ophthalmology and Visual Science, 2017; 58 (4): 2318-2328.
F. G. Venhuizen, B. van Ginneken, B. Liefers, Schreur, M. J. van Grinsven, S. Fauser, C. B. Hoyng, T. Theelen and C. I. Sánchez, "Robust Total Retina Thickness Segmentation in Optical Coherence Tomography Images using Convolutional Neural Networks", Biomedical Optics Express, 2017; 8 (7): 3292-3316.
R. Manniesing, M. T. Oei, L. J. Oostveen, J. Melendez, E. J. Smit, B. Platel, C. I. Sánchez, F. J. Meijer, M. Prokop and B. van Ginneken, "White Matter and Gray Matter Segmentation in 4D Computed Tomography", Nature Scientific Reports, 2017; 7 (119).
T. Kooi, G. Litjens, B. van Ginneken, A. Gubern-Mérida, C. I. 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.
B. Liefers, F. G. Venhuizen, V. Schreur, B. van Ginneken, C. Hoyng, S. Fauser, T. Theelen and C. I. Sánchez, "Automatic detection of the foveal center in optical coherence tomography", Biomedical Optics Express, 2017; 8 (11): 5160-5178.
G. Litjens, T. Kooi, B. Ehteshami Bejnordi, A. A. A. Setio, F. Ciompi, M. Ghafoorian, J. A. W. M. van der Laak, B. van Ginneken and C. I. Sánchez, "A Survey on Deep Learning in Medical Image Analysis", Medical Image Analysis, 2017; 42: 60-88.
L. Hogeweg, C. I. Sánchez, P. Maduskar, R. H. H. M. 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.
L. Gallardo-Estrella, E. Pompe, P. A. de Jong, C. Jacobs, E. M. van Rikxoort, M. Prokop, C. I. Sánchez and B. van Ginneken, "Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality", PLoS One, 2017; 12: e0188902.
M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, C. I. 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.
A. A. A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M. W. Wille, M. Naqibullah, C. I. 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.
P. Maduskar, R. H. M. M. Philipsen, J. Melendez, E. Scholten, D. Chanda, H. Ayles, C. I. Sánchez and B. van Ginneken, "Automatic detection of pleural effusion in chest radiographs", Medical Image Analysis, 2016; 28: 22-32.
J. Melendez, B. van Ginneken, P. Maduskar, R. Philipsen, H. Ayles and C. I. 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.
J. Melendez, C. I. Sánchez, R. H. H. M. 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.
G. Litjens, C. I. Sánchez, N. Timofeeva, M. Hermsen, I. Nagtegaal, I. Kovacs, C. de Hulsbergen-van 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.
M. J. J. P. van Grinsven, T. Theelen, L. Witkamp, J. van der Heijden, J. P. H. van de Ven, C. B. Hoyng, B. van Ginneken and C. I. 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.
M. J. J. P. van Grinsven, B. van Ginneken, C. B. Hoyng, T. Theelen and C. I. 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.
J. D. Hoffman, M. J. J. P. van Grinsven, C. Li, M. Brantley Jr, J. McGrath, A. Agarwal, W. K. Scott, S. G. Schwartz, J. Kovach, M. Pericak-Vance, C. I. Sánchez and J. L. Haines, "Genetic Association Analysis of Drusen Progression", Investigative Ophthalmology and Visual Science, 2016; 57 (4): 2225-2231.
M. M. Teussink, M. B. Breukink, M. J. J. P. van Grinsven, C. B. Hoyng, B. J. Klevering, C. J. F. Boon, E. K. de Jong and T. Theelen, "OCT Angiography Compared to Fluorescein and Indocyanine Green Angiography in Chronic Central Serous Chorioretinopathy", Investigative Ophthalmology and Visual Science, 2015; 56 (9): 5229-5237.
S. J. van Riel, C. I. Sánchez, A. A. Bankier, D. P. Naidich, J. Verschakelen, E. T. Scholten, P. A. 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.
J. Melendez, B. van Ginneken, P. Maduskar, R. H. H. M. Philipsen, K. Reither, M. Breuninger, I. M. O. Adetifa, R. Maane, H. Ayles and C. I. 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.
R. Philipsen, P. Maduskar, L. Hogeweg, J. Melendez, C. I. 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.
R. H. H. M. Philipsen, C. I. Sánchez, P. Maduskar, J. Melendez, L. Peters-Bax, J. G. 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.
M. J. J. P. van Grinsven, G. H. S. Buitendijk, C. Brussee, B. van Ginneken, C. B. Hoyng, T. Theelen, C. C. W. Klaver and C. I. Sánchez, "Automatic identification of reticular pseudodrusen using multimodal retinal image analysis", Investigative Ophthalmology and Visual Science, 2015; 56 (1): 633-639.
L. Hogeweg, C. I. 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.
N. Saksens, E. Kersten, J. M. M. Groenewoud, M. J. J. P. van Grinsven, J. P. H. van de Ven, C. I. Sánchez, T. Schick, S. Fauser, A. den Hollander, C. Hoyng and C. J. F. Boon, "Clinical characteristics of familial and sporadic age-related macular degeneration: differences and similarities", Investigative Ophthalmology and Visual Science, 2014; 55: 7085-7092.
P. Maduskar, L. Hogeweg, P. A. de Jong, L. Peters-Bax, R. Dawson, H. Ayles, C. I. 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.
J. Melendez, C. I. 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): 81904.
M. J. J. P. van Grinsven, Y. T. E. Lechanteur, J. P. H. van de Ven, B. van Ginneken, C. B. Hoyng, T. Theelen and C. I. 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.
L. Hogeweg, C. I. 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): 71901.
L. Hogeweg, C. I. Sánchez and B. van Ginneken, "Suppression of translucent elongated structures: applications in chest radiography", IEEE Transactions on Medical Imaging, 2013; 32 (11): 2099-2113.
T. Tan, B. Platel, H. Huisman, C. I. 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.
C. I. Sánchez, M. Niemeijer, I. Išgum, A. V. Dumitrescu, M. S. A. Suttorp-Schulten, M. D. 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.
L. Hogeweg, C. I. Sánchez, P. A. de Jong, P. Maduskar and B. van Ginneken, "Clavicle segmentation in chest radiographs", Medical Image Analysis, 2012; 16 (8): 1490 - 1502.
C. I. Sánchez, M. Niemeijer, A. V. Dumitrescu, M. S. A. Suttorp-Schulten, M. D. 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.
M. Niemeijer, B. van Ginneken, M. J. Cree, A. Mizutani, G. Quellec, C. I. 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. D. Abràmoff, "Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs", IEEE Transactions on Medical Imaging, 2010; 29 (1): 185-195.
C. I. Sánchez, M. García, A. Mayo, M. I. López and R. Hornero, "Retinal image analysis based on mixture models to detect hard exudates", Medical Image Analysis, 2009; 13 (4): 650-658.
M. García, C. I. Sánchez, J. Poza, M. I. 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.
M. García, C. I. Sánchez, M. I. 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): sep-19.
J. Poza, R. Hornero, J. Escudero, A. Fernández and C. I. 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.
C. I. Sánchez, R. Hornero, M. I. 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.
R. Hornero, D. Abásolo, N. Jimeno, C. I. 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.
D. Abásolo, R. Hornero, P. Espino, J. Poza, C. I. 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.
inproceedings
28TOTAL RESOURCES
C. Magg, M. A. ter Wee, G. S. Buijs, A. J. Kievit, D. A. Krap, J. G. G. Dobbe, G. J. Streekstra, L. Blankevoort, C. I. Sánchez, "Towards automation in non-invasive measurement of knee implant displacement", SPIE Medical Imaging, Image Processing, 2024; 12927: 169-175.B. Liefers, C. González-Gonzalo, C. Klaver, B. van Ginneken and C. I. Sánchez, "Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography", Medical Imaging with Deep Learning, 2019; 102: 337-346.
C. González-Gonzalo, B. Liefers, B. van Ginneken and C. I. Sánchez, "Improving weakly-supervised lesion localization with iterative saliency map refinement", Medical Imaging with Deep Learning, 2018.
B. Liefers, F. G. Venhuizen, T. Theelen, C. Hoyng, B. van Ginneken and C. I. Sánchez, "Fovea Detection in Optical Coherence Tomography using Convolutional Neural Networks", Medical Imaging, 2017; 10133: 1013302.
F. G. Venhuizen, B. van Ginneken, B. Bloemen, M. J. J. P. van Grinsven, R. Philipsen, C. Hoyng, T. Theelen and C. I. Sánchez, "Automated Age-Related Macular Degeneration Classification in OCT using Unsupervised Feature Learning", Medical Imaging, 2015; 9414.
J. Melendez, C. I. Sánchez, R. H. H. M. Philipsen, P. Maduskar and B. van Ginneken, "Multiple-instance learning for computer-aided detection of tuberculosis", Medical Imaging, 2014; 9035: 90351J.
M. J. J. P. van Grinsven, Y. T. E. Lechanteur, J. P. H. van de Ven, B. van Ginneken, T. Theelen and C. I. Sánchez, "Automatic Age-related macular degeneration detection and staging", Medical Imaging, 2013; 8670: 86700M.
M. J. J. P. van Grinsven, A. Chakravarty, J. Sivaswamy, T. Theelen, B. van Ginneken and C. I. Sánchez, "A bag of words approach for discriminating between retinal images containing exudates or drusen", IEEE International Symposium on Biomedical Imaging, 2013: 1444-1447.
I. Fondon, M. J. J. P. van Grinsven, C. I. Sánchez and A. Saez, "Perceptually adapted method for optic disc detection on retinal fundus images", IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), 2013: 279-284.
B. van Ginneken, R. H. H. M. Philipsen, L. Hogeweg, P. Maduskar, J. C. Melendez, C. I. Sánchez, R. Maane, B. dei Alorse, U. d'Alessandro and I. M. O. Adetifa, "Automated Scoring of Chest Radiographs for Tuberculosis Prevalence Surveys: A Combined Approach", The Fifth International Workshop on Pulmonary Image Analysis, 2013.
J. Melendez, C. I. 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.
T. T. J. P. Kockelkorn, R. Ramos, J. Ramos, C. I. Sánchez, P. A. de Jong, C. Schaefer-Prokop, J. C. Grutters, B. van Ginneken and M. A. 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.
C. Jacobs, C. I. Sánchez, S. C. Saur, T. Twellmann, P. A. 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.
C. I. Sánchez, M. Niemeijer, M. S. A. Suttorp-Schulten, M. D. 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.
C. I. Sánchez, M. Niemeijer, M. D. 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.
C. I. Sánchez, M. Niemeijer, T. Kockelkorn, M. D. Abràmoff and B. van Ginneken, "Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images", SPIE Medical Imaging, 2009; 7260: 72601I1-72601I8.
C. I. Sánchez, R. Hornero, A. Mayo and M. Garcia, "Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images", SPIE Medical Imaging, 2009; 7260: 72601M1-72601M8.
M. García, C. I. Sánchez, M. I. 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.
M. García, R. Hornero, C. I. Sánchez, M. I. 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.
J. Poza, G. Vecilla, R. Hornero, M. I. López, C. I. Sánchez and A. Díez, "TeleOftalWeb 3.0: Web-based ophthalmologic medical record", Telemedicine in Future Health, 2006.
C. I. Sánchez, A. Mayo, M. García, M. I. 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.
C. I. Sánchez, M. I. López, M. García, A. Mayo and R. Hornero, "Automated retinal image analysis in a diabetic retinopathy telescreening program", Telemedicine in Future Health, 2006.
M. García, C. I. Sánchez, A. Díez, M. I. 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.
D. Abásolo, C. Gómez, J. Poza, M. García, C. I. Sánchez and M. López, "EEG background activity analysis in Alzheimer’s disease patients with sample entropy", International Conference on Computational Bioengineering, 2005: 1067-1076.
C. I. Sánchez, R. Hornero, M. I. 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.
R. Hornero, D. Abásolo, J. Poza, C. I. 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.
R. Hornero, C. I. Sánchez and M. I. López, "Automated retinal image analysis in a teleophthalmology diabetic retinopathy screening program", Telemedicine Journal and e-Health, 2004.
M. I. López, C. I. Sánchez and R. Hornero, "Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy", Association for Research in Vision and Ophthalmology, 2003.
abstracts
33TOTAL RESOURCES
Schwartz, Roy and Khalid, Hagar and Liakopoulos, Sandra and Ouyang, Yanling and de Vente, Coen and Gonzalo, Cristina González and Lee, Aaron Y and Egan, Catherine A and Sánchez, Clara and Tufail, Adnan, "A deep learning pipeline for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography", Investigative Ophthalmology & Visual Science, 2022.Lemij, Hans G and de Vente, Coen and Sánchez, Clara I and Cuadros, Jorge and Jaccard, Nicolas and Vermeer, Koen, "Glaucomatous features in fundus photographs of eyes with ‘Referable glaucoma’of a large population based labeled data set for training an Artificial Intelligence (AI) algorithm for glaucoma screening", Investigative Ophthalmology & Visual Science, 2022.
C. de Vente, C. González-Gonzalo, E. F. Thee, M. van Grinsven, C. C. W. Klaver and C. I. Sánchez, "Making AI Transferable Across OCT Scanners from Different Vendors", Association for Research in Vision and Ophthalmology, 2021.
C. González-Gonzalo, F. Verbraak, R. O., Schlingemann, C. W. Klaver, A. Y. Lee, A. Tufail, C. I. 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.
C. González-Gonzalo, E. F. Thee, B. Liefers, C. W. Klaver and C. I. 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.
C. González-Gonzalo, E. F. Thee, B. Liefers, C. de Vente, C. C. W. Klaver and C. I. 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.
C. de Vente, M. van Grinsven, S. De Zanet, A. Mosinska, R. Sznitman, C. Klaver and C. I. 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.
B. Liefers, P. Taylor, C. González-Gonzalo, A. Tufail and C. I. 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.
C. González-Gonzalo, S. C. Wetstein, G. Bortsova, B. Liefers, B. van Ginneken and C. I. Sánchez, "Are adversarial attacks an actual threat for deep learning systems in real-world eye disease screening settings?", European Society of Retina Specialists, 2020.
A. Ardu, B. Liefers, C. de Vente, C. González-Gonzalo, C. Klaver and C. I. Sánchez, "Artificial Intelligence for the Classification and Quantification of Reticular Pseudodrusen in Multimodal Retinal Images", European Society of Retina Specialists, 2020.
D. Valkenburg, E. Runhart, B. Liefers, S. Lambertus, C. I. Sánchez, F. P. Cremers, B. Nathalie M and C. C. B. Hoyng, "Familial discordance in disease phenotype in siblings with Stargardt disease", Association for Research in Vision and Ophthalmology, 2019.
B. Liefers, J. Colijn, C. González-Gonzalo, A. Vaidyanathan, H. van Zeeland, P. Mitchell, C. Klaver and C. I. 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.
C. González-Gonzalo, B. Liefers, A. Vaidyanathan, H. van Zeeland, C. C. W. Klaver and C. I. Sánchez, "Opening the “black box”? of deep learning in automated screening of eye diseases", Association for Research in Vision and Ophthalmology, 2019.
J. Engelberts, C. González-Gonzalo, C. I. Sánchez and M. J. van Grinsven, "Automatic Segmentation of Drusen and Exudates on Color Fundus Images using Generative Adversarial Networks", Association for Research in Vision and Ophthalmology, 2019.
F. G. Venhuizen, S. Schaffhauser, V. Schreur, B. Liefers, B. van Ginneken, C. B. Hoyng, T. Theelen, E. K. de Jong and C. I. Sánchez, "Fully automated detection of hyperreflective foci in optical coherence tomography", Association for Research in Vision and Ophthalmology, 2017.
B. Liefers, F. G. Venhuizen, V. Schreur, B. van Ginneken, C. Hoyng, T. Theelen and C. I. Sánchez, "Automatic detection of the foveal center in optical coherence tomography", Association for Research in Vision and Ophthalmology, 2017.
J. J. Gomez, C. I. Sánchez, B. Liefers, F. G. Venhuizen, G. Fatti, A. Morilla-Grasa, Y. Cartagena, A. H. Cabarcos, A. Santos, M. J. 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.
F. G. Venhuizen, M. J. J. P. van Grinsven, B. van Ginneken, C. B. Hoyng, T. Theelen and C. I. Sánchez, "Fully automated quantification of intraretinal cysts in 3D optical coherence tomography", Association for Research in Vision and Ophthalmology, 2016.
B. Liefers, V. Schreur, T. Theelen and C. I. Sánchez, "Registration and grading of micro-aneurysms in Fluorescein Angiography and OCT Angiography", 4th International Congress on OCT Angiography and Advances in OCT, 2016.
M. J. J. P. van Grinsven, F. G. Venhuizen, B. van Ginneken, C. B. Hoyng, T. Theelen and C. I. Sánchez, "Automatic detection of hemorrhages on color fundus images using deep learning", Association for Research in Vision and Ophthalmology, 2016.
F. G. Venhuizen, M. B. Breukink, B. van Ginneken, M. J. J. P. van Grinsven, B. Bloemen, C. B. Hoyng, T. Theelen, C. J. F. Boon and C. I. Sánchez, "Automated Quantification of Subretinal Fluid in Central Serous Chorioretinopathy in 3D Optical Coherence Tomography Images", Association for Research in Vision and Ophthalmology, 2015.
F. G. Venhuizen, M. J. van Grinsven, C. B. Hoyng, T. Theelen, B. van Ginneken and C. I. 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.
C. I. Sánchez, S. Lambertus, B. Bloemen, N. Bax, F. G. Venhuizen, M. J. J. P. 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.
P. Maduskar, I. Adetifa, J. van den Hombergh, E. Leroy-Terquem, A. Fasan-Odunsi, C. I. 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.
R. H. Philipsen, C. I. Sánchez, P. Maduskar, J. Melendez, B. van Ginneken and W. J. Lew, "Objective Computerized Chest Radiography Screening to Detect Tuberculosis in the Philippines", Union World Conference on Lung Health, 2015.
M. J. J. P. van Grinsven, F. G. Venhuizen, B. van Ginneken, C. B. Hoyng, T. Theelen and C. I. Sánchez, "Automatic detection of eye diseases using automated color fundus image analysis", Association for Research in Vision and Ophthalmology, 2015.
R. H. H. M. Philipsen, P. Maduskar, L. Hogeweg, J. Melendez, C. I. 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.
M. J. J. P. van Grinsven, G. H. S. Buitendijk, C. Brussee, B. van Ginneken, T. Theelen, C. C. W. Klaver and C. I. Sánchez, "Automatic detection of reticular drusen using multimodal retinal image analysis", Association for Research in Vision and Ophthalmology, 2014.
B. Platel, T. Welte, R. Mus, R. Mann, C. I. 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.
J. Melendez, C. I. 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.
M. J. J. P. van Grinsven, J. P. H. van de Ven, Y. T. E. Lechanteur, B. van Ginneken, C. B. Hoyng, T. Theelen and C. I. Sánchez, "Automatic Drusen Detection and Quantification for Diagnosis of Age-Related Macular Degeneration", Association for Research in Vision and Ophthalmology, 2012.
M. J. J. P. van Grinsven, B. van Ginneken and C. I. Sánchez, "Web-based workstation for the analysis of color fundus images", ISBI Medical Image Analysis Workshop, 2012.
B. van Ginneken, L. Hogeweg, P. Maduskar, L. Peters-Bax, R. Dawson, K. Dheda, H. Ayles, J. Melendez and C. I. 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.
phd theses
1TOTAL RESOURCES
C. I. 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", 2008.preprint
5TOTAL RESOURCES
C. de Vente, L. H. Boulogne, K. V. Venkadesh, C. Sital, N. Lessmann, C. Jacobs, C. I. Sánchez and B. van Ginneken, "Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study", arXiv:200.909.725, 2020.P. L. Muller, B. Liefers, T. Treis, F. Gomes Rodrigues, A. Olvera-Barrios, B. Paul, N. Dhingra, A. Lotery, C. Bailey, P. Taylor, C. I. Sánchez and A. Tufail, "Reliability of retinal pathology quantification in age-related macular degeneration: Implications for clinical trials and machine learning applications", 2020.
S. C. Wetstein, C. González-Gonzalo, G. Bortsova, B. Liefers, F. Dubost, I. Katramados, L. Hogeweg, B. van Ginneken, J. P. W. Pluim, M. de Bruijne, C. I. Sánchez and M. Veta, "Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors", arXiv:200.606.356, 2020.
B. Liefers, J. M. Colijn, C. González-Gonzalo, T. Verzijden, P. Mitchell, C. B. Hoyng, B. van Ginneken, C. C. Klaver and C. I. Sánchez, "A deep learning model for segmentation of geographic atrophy to study its long-term natural history", arXiv:190.805.621, 2019.
C. González-Gonzalo, B. Liefers, B. van Ginneken and C. I. Sánchez, "Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks", arXiv:191.007.373, 2019.