C. I. Sánchez

发表

Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening

B. van Ginneken, A. C. Hayward, B. van Ginneken, 2018, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

A survey on deep learning in medical image analysis

Bram van Ginneken, Geert J. S. Litjens, Clara I. Sánchez, 2017, Medical Image Anal..

Enlargement of Geographic Atrophy From First Diagnosis to End of Life.

C. Klaver, P. Mitchell, C. Sánchez, 2021, JAMA ophthalmology.

Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration

H. Hense, C. Sánchez, A. D. den Hollander, 2019, Scientific Reports.

Genetic Association Analysis of Drusen Progression

Mark J J P van Grinsven, J. Haines, M. Pericak-Vance, 2016, Investigative ophthalmology & visual science.

Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration Genetic risk score has added value over initial clinical grading stage in predicting disease

H. Hense, C. Sánchez, T. Peto, 2019 .

Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features

Bram van Ginneken, Pim A. de Jong, Clara I. Sánchez, 2011, MICCAI.

Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management.

Bram van Ginneken, Colin Jacobs, Mathias Prokop, 2015, Radiology.

Automated chest-radiography as a triage for Xpert testing in resource-constrained settings: a prospective study of diagnostic accuracy and costs

B. van Ginneken, B. van Ginneken, B. Ginneken, 2015, Scientific Reports.

Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis

Bram van Ginneken, Rick H. H. M. Philipsen, Pragnya Maduskar, 2015, IEEE Transactions on Medical Imaging.

Automatic detection of tuberculosis in chest radiographs

L. Hogeweg, C. I. Sánchez, 2013 .

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

Bram van Ginneken, Geert J. S. Litjens, Paul K. Gerke, 2016, IEEE Transactions on Medical Imaging.

Automatic identification of reticular pseudodrusen using multimodal retinal image analysis.

Thomas Theelen, Bram van Ginneken, Gabriëlle H S Buitendijk, 2015, Investigative ophthalmology & visual science.

Highly Variable Disease Courses in Siblings with Stargardt Disease.

C. Sánchez, F. Cremers, C. Hoyng, 2019, Ophthalmology.

Large scale deep learning for computer aided detection of mammographic lesions

Nico Karssemeijer, Bram van Ginneken, Geert J. S. Litjens, 2017, Medical Image Anal..

Neural network based detection of hard exudates in retinal images

Roberto Hornero, Clara I. Sánchez, Daniel E. Abásolo, 2009, Comput. Methods Programs Biomed..

Automated Assessment of CO-RADS and Chest CT Severity Scores in Patients with Suspected COVID-19 Using Artificial Intelligence

Nikolas Lessmann, Luuk H Boulogne, Bram van Ginneken, 2020, Radiology.

MACUSTAR: Development and Clinical Validation of Functional, Structural, and Patient-Reported Endpoints in Intermediate Age-Related Macular Degeneration

G. Rubin, C. Sánchez, J. Cunha-Vaz, 2018, Ophthalmologica.

Automatic detection of the foveal center in optical coherence tomography.

Thomas Theelen, Bram van Ginneken, Bart Liefers, 2017, Biomedical optics express.

Automatic drusen quantification and risk assessment of age-related macular degeneration on color fundus images.

Thomas Theelen, Bram van Ginneken, Clara I Sánchez, 2013, Investigative ophthalmology & visual science.

Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice

C. Klaver, C. Sánchez, F. Verbraak, 2021, Progress in Retinal and Eye Research.

Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age‐related macular degeneration

Yara T. E. Lechanteur, B. Ginneken, C. Sánchez, 2019, Acta ophthalmologica.

Quantification of key retinal features in early and late age-related macular degeneration using deep learning.

C. Sánchez, K. Balaskas, B. Liefers, 2021, American journal of ophthalmology.

An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information

B. van Ginneken, J. Melendez, C. Sánchez, 2016, Scientific Reports.

Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy

Roberto Hornero, Clara I. Sánchez, Daniel Abásolo, 2005, Clinical Neurophysiology.

Automatic Image Processing Algorithm to Detect Hard Exudates based on Mixture Models

R. Hornero, C.I. Sanchez, M.I. Lopez, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Clinical characteristics of familial and sporadic age-related macular degeneration: differences and similarities.

Mark J J P van Grinsven, C. Sánchez, A. D. den Hollander, 2014, Investigative ophthalmology & visual science.

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

Elena Marchiori, Tom Heskes, Bram van Ginneken, 2016, Scientific Reports.

Fast and effective quantification of symmetry in medical images for pathology detection: Application to chest radiography

Pragnya Maduskar, Laurens Hogeweg, Bram van Ginneken, 2017, Medical physics.

On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis

Bram van Ginneken, Rick H. H. M. Philipsen, Pragnya Maduskar, 2016, IEEE Transactions on Medical Imaging.

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

Keshab K. Parhi, Ulas Bagci, Jayanthi Sivaswamy, 2019, IEEE Transactions on Medical Imaging.

Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography.

Thomas Theelen, Bram van Ginneken, Bart Liefers, 2018, Biomedical optics express.

Automated age-related macular degeneration classification in OCT using unsupervised feature learning

Bram van Ginneken, Rick H. H. M. Philipsen, Mark J. J. P. van Grinsven, 2015, Medical Imaging.

Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans

Bram van Ginneken, Clara I. Sánchez, Meindert Niemeijer, 2012, Medical Image Anal..

Retinal image analysis based on mixture models to detect hard exudates

Roberto Hornero, Clara I. Sánchez, María García, 2009, Medical Image Anal..

Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images

Bram van Ginneken, Mark J. J. P. van Grinsven, Thomas Theelen, 2016, IEEE Transactions on Medical Imaging.

Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison

Coen de Vente, Kiran Vaidhya Venkadesh, B. Ginneken, 2021, IEEE Transactions on Artificial Intelligence.

Fovea detection in optical coherence tomography using convolutional neural networks

Bram van Ginneken, Thomas Theelen, Clara I. Sánchez, 2017, Medical Imaging.

RETINAL HYPERREFLECTIVE FOCI IN TYPE 1 DIABETES MELLITUS

B. J. Klevering, C. Sánchez, C. Hoyng, 2019, Retina.

A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis.

Roberto Hornero, Daniel Abásolo, Jesús Poza, 2008, Medical engineering & physics.

Suppression of Translucent Elongated Structures: Applications in Chest Radiography

Bram van Ginneken, Laurens Hogeweg, Clara I. Sánchez, 2013, IEEE Transactions on Medical Imaging.

Characteristics of a Large, Labeled Data Set for the Training of Artificial Intelligence for Glaucoma Screening with Fundus Photographs

H. Lemij, C. Sánchez, Koen A. Vermeer, 2023, Ophthalmology science.

Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning.

Bart Liefers, Alfonso Antón, Gianluca Fatti, 2019, Biomedical optics express.

A survey on deep learning in medical image analysis

G. Litjens, B. Ginneken, Thijs Kooi, 2017, Medical Image Anal..

Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images

Clara I. Sánchez, Bram van Ginneken, Cristina González-Gonzalo, 2019, IEEE Transactions on Medical Imaging.

A deep learning model for segmentation of geographic atrophy to study its long-term natural history

Bram van Ginneken, Caroline C. W. Klaver, Clara I. Sánchez, 2019, ArXiv.

Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography

Bram van Ginneken, Clara I. Sánchez, Cristina González-Gonzalo, 2018, MIDL.

Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs

Qin Li, Jane You, Fakhri Karray, 2010, IEEE Transactions on Medical Imaging.

Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images

B. van Ginneken, B. Liefers, C. I. Sánchez, 2019, IEEE Transactions on Medical Imaging.

Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography.

B. van Ginneken, C. Hoyng, B. Liefers, 2018, Biomedical optics express.

Automatic age-related macular degeneration detection and staging

Bram van Ginneken, Mark J. J. P. van Grinsven, Yara T. E. Lechanteur, 2013, Medical Imaging.

Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy

R. Hornero, C.I. Sanchez, M.I. Lopez, 2003, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography

Sandro De Zanet, Coen de Vente, C. Klaver, 2020 .

Automated Staging of Age-Related Macular Degeneration Using Optical Coherence Tomography.

Mark J J P van Grinsven, B. van Ginneken, C. Sánchez, 2017, Investigative ophthalmology & visual science.

Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks.

Thomas Theelen, Bram van Ginneken, Bart Liefers, 2017, Biomedical optics express.

Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice

C. Klaver, F. Verbraak, A. Tufail, 2021, Progress in Retinal and Eye Research.

Clinical characteristics of familial and sporadic age-related macular degeneration: differences and similarities.

A. D. den Hollander, C. Hoyng, Mark J. J. P. van Grinsven, 2014, Investigative ophthalmology & visual science.

Regional Analysis of Spontaneous MEG Rhythms in Patients with Alzheimer’s Disease Using Spectral Entropies

C. Sánchez, J. Escudero, R. Hornero, 2007, Annals of Biomedical Engineering.

Localized Energy-Based Normalization of Medical Images: Application to Chest Radiography

Bram van Ginneken, Rick H. H. M. Philipsen, Pragnya Maduskar, 2015, IEEE Transactions on Medical Imaging.

Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation

Nico Karssemeijer, Tao Tan, Henkjan J. Huisman, 2012, IEEE Transactions on Medical Imaging.

A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays

Bram van Ginneken, Rick H. H. M. Philipsen, Pragnya Maduskar, 2015, IEEE Transactions on Medical Imaging.

Automated Assessment of CO-RADS and Chest CT Severity Scores in Patients with Suspected COVID-19 Using Artificial Intelligence

P. K. Gerke, L. Beenen, H. Huisman, 2020, Radiology.

Variability, regularity, and complexity of time series generated by schizophrenic patients and control subjects

Roberto Hornero, Clara I. Sánchez, Jesús Poza, 2006, IEEE Transactions on Biomedical Engineering.

Retinal image analysis based on mixture models to detect hard exudates

R. Hornero, María García, A. Mayo, 2009, Medical Image Anal..

Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images

Bram van Ginneken, Clara I. Sánchez, Meindert Niemeijer, 2009, Medical Imaging.

Detection of Hard Exudates in Retinal Images Using a Radial Basis Function Classifier

Roberto Hornero, Clara I. Sánchez, Jesús Poza, 2009, Annals of Biomedical Engineering.

Automatic detection of red lesions in retinal images using a multilayer perceptron neural network

Roberto Hornero, Maria Garcia, Clara I. Sanchez, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic drusen quantification and risk assessment of age-related macular degeneration on color fundus images.

B. van Ginneken, C. Hoyng, Mark J. J. P. van Grinsven, 2013, Investigative ophthalmology & visual science.

A Bag of Words approach for discriminating between retinal images containing exudates or drusen

Jayanthi Sivaswamy, Bram van Ginneken, Arunava Chakravarty, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.