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), 26286, 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), 5110, 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
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
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
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
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
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
Metrics reloaded: Pitfalls and recommendations for image analysis validation
L Maier-Hein, B Menze
arXiv. org, 2022
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
The system can't perform the operation now. Try again later.
Articles 1–20