Clara I. Sá‎nchez

Author

Clara I. Sá‎nchez

Also Known As

C SANCHEZ, C. I. Sanchez, C. I. Sánchez, C. Sanchez, C. Sánchez, C.I. Sanchez, CLARA SÁNCHEZ, Clara I Sanchez, Clara I Sánchez, Clara I. Sanchez

193

Publications

23.4K

Citations

H-Index

Concepts

All Affiliations

Radboud University Nijmegen Radboud University Medical Center Universidad de Valladolid University of Amsterdam University College London

About

Clara I. Sá‎nchez is an author at Radboud University Nijmegen specializing in image analysis, engineering, and medical image computing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	26	34	5.1K
2	Health Sciences	16	16	3.2K
3	Medicine	15	17	1.2K
4	Business	1	1	57
5	Public Health	1	1	46

Clara I. Sá‎nchez

Publications

9.1K

Citations

H-Index

Page 1

	Year	Citations
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks Arnaud A. A. Setio, Francesco Ciompi, Geert Litjens, IEEE Transactions on Medical Imaging Convolutional Neural NetworkEngineeringMachine LearningDiagnostic ImagingImage Classification	2016	1.2K
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis Geert Litjens, Clara I. Sá‎nchez, N. K. Timofeeva, Scientific Reports	2016	1.1K
Large scale deep learning for computer aided detection of mammographic lesions Thijs Kooi, Geert Litjens, Bram van Ginneken, Medical Image Analysis Dermoscopic ImageConvolutional Neural NetworkImage AnalysisMachine LearningData Science	2016	951
Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs Meindert Niemeijer, Bram van Ginneken, Michael J. Cree, IEEE Transactions on Medical Imaging	2009	512
Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images Mark J. J. P. van Grinsven, Bram van Ginneken, Carel B. Hoyng, IEEE Transactions on Medical Imaging Convolutional Neural NetworkEngineeringMachine LearningTraining SamplesImage Classification	2016	425
Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning Juan J. Gómez-Valverde, Alfonso Antón, Gianluca Fatti, Biomedical Optics Express Convolutional Neural NetworkEngineeringMachine LearningExpert EvaluatorsImage Classification	2019	251
RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge Hrvoje Bogunović, Freerk G. Venhuizen, Sophie Klimscha, IEEE Transactions on Medical Imaging EngineeringBiomedical EngineeringImage AnalysisRetinaPattern Recognition	2019	248
Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy Daniel Abásolo, Roberto Hornero, Pedro Espino, Clinical Neurophysiology Alzheimer's DiseaseEntropyDementiaComputational NeuroscienceMedicine	2005	243
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Scientific Reports Convolutional Neural NetworkEngineeringImage ClassificationImage AnalysisComputational Imaging	2017	234
Retinal image analysis based on mixture models to detect hard exudates Clara I. Sá‎nchez, María García, Agustín Mayo-Íscar, Medical Image Analysis Retinal Image AnalysisMachine VisionImage AnalysisOphthalmologyMixture Models	2009	203

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