Clara I. Sánchez
Orcid: 0000-0001-9787-8319
According to our database1,
Clara I. Sánchez
authored at least 61 papers
between 2006 and 2025.
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Bibliography
2025
Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome.
Medical Image Anal., 2025
2024
IEEE Trans. Medical Imaging, August, 2024
IEEE Trans. Medical Imaging, January, 2024
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography.
Medical Image Anal., 2024
Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions.
CoRR, 2024
CoRR, 2024
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images.
Artif. Intell. Medicine, 2024
3D Point Cloud Analysis via Transformer-Based Graph Learning for Multiple Sclerosis Screening in OCT Images.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024
Recurrent Task Specialization Network for Segmentation-aided Vascular Landmarks Detection in Retinal Images.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery.
Comput. Biol. Medicine, December, 2023
Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios.
IEEE J. Biomed. Health Informatics, November, 2023
CoRR, 2023
2022
Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison.
IEEE Trans. Artif. Intell., 2022
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography.
CoRR, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2021
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.
Medical Image Anal., 2021
Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction.
CoRR, 2021
2020
Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images.
IEEE Trans. Medical Imaging, 2020
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study.
CoRR, 2020
2019
IEEE Trans. Medical Imaging, 2019
Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks.
CoRR, 2019
A deep learning model for segmentation of geographic atrophy to study its long-term natural history.
CoRR, 2019
Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration.
CoRR, 2019
Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
2017
Medical Image Anal., 2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
2016
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.
IEEE Trans. Medical Imaging, 2016
On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis.
IEEE Trans. Medical Imaging, 2016
Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images.
IEEE Trans. Medical Imaging, 2016
Medical Image Anal., 2016
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.
CoRR, 2016
2015
Localized Energy-Based Normalization of Medical Images: Application to Chest Radiography.
IEEE Trans. Medical Imaging, 2015
A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays.
IEEE Trans. Medical Imaging, 2015
Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis.
IEEE Trans. Medical Imaging, 2015
Automated age-related macular degeneration classification in OCT using unsupervised feature learning.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
2013
IEEE Trans. Medical Imaging, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
A Bag of Words approach for discriminating between retinal images containing exudates or drusen.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
2012
Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation.
IEEE Trans. Medical Imaging, 2012
Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans.
Medical Image Anal., 2012
Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography.
Proceedings of the Breast Imaging, 2012
Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: A simulation study.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
2011
Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs.
IEEE Trans. Medical Imaging, 2010
Active Learning for an Efficient Training Strategy of Computer-Aided Diagnosis Systems: Application to Diabetic Retinopathy Screening.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Improving hard exudate detection in retinal images through a combination of local and contextual information.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Medical Image Anal., 2009
Comput. Methods Programs Biomed., 2009
Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2006
Variability, regularity, and complexity of time series generated by schizophrenic patients and control subjects.
IEEE Trans. Biomed. Eng., 2006
Automatic Image Processing Algorithm to Detect Hard Exudates based on Mixture Models.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006