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Computer Science

D-Index
41
Citations
23720
World Ranking
8559
National Ranking
146

Overview

Clara I. Sánchez is affiliated with the University of Amsterdam in the Netherlands. Their research primarily focuses on the field of Medicine, with a specialization in Radiology, Nuclear Medicine and Imaging, Ophthalmology, Health Informatics, Artificial Intelligence, and Pediatrics, Perinatology and Child Health.

The scientist's work covers several main topics, including:

  • Retinal Imaging and Analysis
  • Glaucoma and retinal disorders
  • Artificial Intelligence in Healthcare and Education
  • Retinal Diseases and Treatments
  • Radiomics and Machine Learning in Medical Imaging
  • Retinal and Optic Conditions
  • COVID-19 diagnosis using AI

Among recent publications, notable papers include:

  • Metrics reloaded: recommendations for image analysis validation, 2024, Nature Methods
  • Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence, 2020, Radiology
  • Understanding metric-related pitfalls in image analysis validation, 2024, Nature Methods
  • Adversarial attack vulnerability of medical image analysis systems: Unexplored factors, 2021, Medical Image Analysis
  • Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice, 2021, Progress in Retinal and Eye Research

Sánchez frequently collaborates with other researchers. Frequent co-authors include:

  • Bram van Ginneken
  • Coen de Vente
  • Jonas Teuwen
  • Ivana Išgum
  • Adnan Tufail

The scientist's publications often appear in key venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of the American College of Cardiology
  • Nature Methods
  • Medical Image Analysis

Best Publications

  • A survey on deep learning in medical image analysis

    Geert J. S. Litjens;Thijs Kooi;Babak Ehteshami Bejnordi;Arnaud Arindra Adiyoso Setio

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

    Arnaud Arindra Adiyoso Setio;Francesco Ciompi;Geert Litjens;Paul Gerke

  • Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

    Geert Litjens;Clara I. Sánchez;Nadya Timofeeva;Meyke Hermsen

  • Large scale deep learning for computer aided detection of mammographic lesions

    Thijs Kooi;Geert J. S. Litjens;Bram van Ginneken;Albert Gubern-Mérida

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

    Meindert Niemeijer;Bram van Ginneken;Michael J Cree;Atsushi Mizutani

  • 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;Thomas Theelen

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

    Mohsen Ghafoorian;Nico Karssemeijer;Tom Heskes;Inge W. M. van Uden

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

    Hrvoje Bogunovic;Freerk Venhuizen;Sophie Klimscha;Stefanos Apostolopoulos

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

    Juan J. Gómez-Valverde;Alfonso Antón;Gianluca Fatti;Bart Liefers

  • Retinal image analysis based on mixture models to detect hard exudates.

    Clara I. Sánchez;María García;Agustín Mayo;María Isabel López

  • Neural network based detection of hard exudates in retinal images

    María García;Clara I. Sánchez;María I. López;Daniel Abásolo

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

    Clara I. Sánchez;Roberto Hornero;María I. López;Mateo Aboy

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

    Sarah J van Riel;Clara I Sánchez;Alexander A Bankier;David P Naidich

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

    Jaime Melendez;Clara I. Sánchez;Rick H. H. M. Philipsen;Pragnya Maduskar

  • Evaluation of a computer-aided diagnosis system for diabetic retinopathy screening on public data.

    Clara I. Sánchez;Meindert Niemeijer;Meindert Niemeijer;Alina V. Dumitrescu;Maria S. A. Suttorp-Schulten

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

    Freerk G. Venhuizen;Bram van Ginneken;Bart Liefers;Freekje van Asten

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

    Jaime Melendez;Bram van Ginneken;Pragnya Maduskar;Rick H. H. M. Philipsen

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

    Freerk G. Venhuizen;Bram van Ginneken;Bart Liefers;Mark J.J.P. van Grinsven

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

    C.I. Sanchez;R. Hornero;M.I. Lopez;J. Poza

  • Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

    Nikolas Lessmann;Clara I. Sánchez;Ludo Beenen;Luuk H. Boulogne

  • Retinal Image Analysis to Detect and Quantify Lesions Associated With Diabetic Retinopathy

    M. Lopez;C. Sanchez;R. Hornero

Frequent Co-Authors

Bram van Ginneken
Bram van Ginneken Radboud University
Carel B. Hoyng
Carel B. Hoyng Radboud University
Roberto Hornero
Roberto Hornero University of Valladolid
Michael D. Abràmoff
Michael D. Abràmoff University of Iowa
Meindert Niemeijer
Meindert Niemeijer Digital Diagnostics Inc.
Geert Litjens
Geert Litjens Radboud University
Nico Karssemeijer
Nico Karssemeijer Radboud University
Jie Jin Wang
Jie Jin Wang University of Sydney
Jonathan L. Haines
Jonathan L. Haines Case Western Reserve University
Ivana Išgum
Ivana Išgum University of Amsterdam

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