Clara I. Sánchez
Clara I. Sánchez
Full Professor, Informatics Institute, University of Amsterdam
Verified email at - Homepage
Cited by
Cited by
A survey on deep learning in medical image analysis
G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ...
Medical image analysis 42, 60-88, 2017
Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks
AAA Setio, F Ciompi, G Litjens, P Gerke, C Jacobs, SJ Van Riel, ...
IEEE transactions on medical imaging 35 (5), 1160-1169, 2016
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
G Litjens, CI Sánchez, N Timofeeva, M Hermsen, I Nagtegaal, I Kovacs, ...
Scientific reports 6 (1), 1-11, 2016
Large scale deep learning for computer aided detection of mammographic lesions
T Kooi, G Litjens, B Van Ginneken, A Gubern-Mérida, CI Sánchez, ...
Medical image analysis 35, 303-312, 2017
Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs
M Niemeijer, B Van Ginneken, MJ Cree, A Mizutani, G Quellec, ...
IEEE transactions on medical imaging 29 (1), 185-195, 2009
Fast convolutional neural network training using selective data sampling: Application to hemorrhage detection in color fundus images
MJJP Van Grinsven, B van Ginneken, CB Hoyng, T Theelen, CI Sánchez
IEEE transactions on medical imaging 35 (5), 1273-1284, 2016
Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy
D Abásolo, R Hornero, P Espino, J Poza, CI Sánchez, R de la Rosa
Clinical neurophysiology 116 (8), 1826-1834, 2005
Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities
M Ghafoorian, N Karssemeijer, T Heskes, IWM van Uden, CI Sanchez, ...
Scientific Reports 7 (1), 1-12, 2017
Retinal image analysis based on mixture models to detect hard exudates
CI Sánchez, M García, A Mayo, MI López, R Hornero
Medical Image Analysis 13 (4), 650-658, 2009
Neural network based detection of hard exudates in retinal images
M García, CI Sánchez, MI López, D Abásolo, R Hornero
Computer Methods and programs in biomedicine 93 (1), 9-19, 2009
A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis
CI Sanchez, R Hornero, MI Lopez, M Aboy, J Poza, D Abasolo
Medical engineering & physics 30 (3), 350-357, 2008
Observer variability for classification of pulmonary nodules on low-dose CT images and its effect on nodule management
SJ van Riel, CI Sánchez, AA Bankier, DP Naidich, J Verschakelen, ...
Radiology 277 (3), 863-871, 2015
Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning
JJ Gómez-Valverde, A Antón, G Fatti, B Liefers, A Herranz, A Santos, ...
Biomedical optics express 10 (2), 892-913, 2019
RETOUCH: the retinal OCT fluid detection and segmentation benchmark and challenge
H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ...
IEEE transactions on medical imaging 38 (8), 1858-1874, 2019
Evaluation of a computer-aided diagnosis system for diabetic retinopathy screening on public data
CI Sánchez, M Niemeijer, AV Dumitrescu, MSA Suttorp-Schulten, ...
Investigative ophthalmology & visual science 52 (7), 4866-4871, 2011
Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy
CI Sánchez, R Hornero, MI Lopez, J Poza
The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004
Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography
FG Venhuizen, B van Ginneken, B Liefers, F van Asten, V Schreur, ...
Biomedical optics express 9 (4), 1545-1569, 2018
An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information
J Melendez, CI Sánchez, RHHM Philipsen, P Maduskar, R Dawson, ...
Scientific reports 6 (1), 25265, 2016
Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks
FG Venhuizen, B van Ginneken, B Liefers, MJJP van Grinsven, S Fauser, ...
Biomedical optics express 8 (7), 3292-3316, 2017
A novel multiple-instance learning-based approach to computer-aided detection of tuberculosis on chest X-rays
J Melendez, B Van Ginneken, P Maduskar, RHHM Philipsen, K Reither, ...
IEEE transactions on medical imaging 34 (1), 179-192, 2014
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