World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
11631
World Ranking
6100
National Ranking
1

Overview

Fabio A. González is affiliated with the National University of Colombia in Colombia. Their research spans multiple areas within computer science and medicine, focusing primarily on artificial intelligence and its applications in healthcare and imaging.

The scientist has contributed extensively to the fields of study including:

  • Computer Science
  • Medicine

Within these main fields, their work covers subfields such as:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Ophthalmology
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

The main research topics addressed by Fabio A. González include:

  • Retinal Imaging and Analysis
  • Anomaly Detection Techniques and Applications
  • Quantum Computing Algorithms and Architecture
  • Gaussian Processes and Bayesian Inference
  • Quantum Information and Cryptography
  • Retinal Diseases and Treatments
  • Neural Networks and Applications

Fabio's recent papers feature a range of applications in AI and medical imaging, highlighting both methodological advances and domain-specific implementations. Notable works include:

  • "Gated multimodal networks," 2020, Neural Computing and Applications
  • "FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare," 2023, arXiv (Cornell University)
  • "Grading diabetic retinopathy and prostate cancer diagnostic images with deep quantum ordinal regression," 2022, Computers in Biology and Medicine
  • "Deep Learning Ensemble Model for the Prediction of Traffic Accidents Using Social Media Data," 2022, Computers
  • "Automatic Grading Tool for Jupyter Notebooks in Artificial Intelligence Courses," 2021, Sustainability

Frequent coauthors in Fabio's research collaborations are:

  • Joseph A. Gallego-Mejia (21 publications)
  • Raúl Ramos-Pollán (12 publications)
  • Vladimir Vargas-Calderón (11 publications)
  • Santiago Toledo-Cortés (10 publications)
  • Diego H. Useche (8 publications)

The scientist's publications have appeared repeatedly in venues such as:

  • arXiv (Cornell University) with 23 publications
  • Zenodo (CERN European Organization for Nuclear Research) with 13 publications
  • Quantum Machine Intelligence with 5 publications
  • Neural Computing and Applications with 2 publications
  • Translational Vision Science & Technology with 2 publications

Best Publications

  • Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks

    Angel Cruz-Roa;Ajay Basavanhally;Fabio González;Hannah Leah Gilmore

  • An immunity-based technique to characterize intrusions in computer networks

    D. Dasgupta;F. Gonzalez

  • Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

    Angel Cruz-Roa;Angel Cruz-Roa;Hannah Leah Gilmore;Ajay Basavanhally;Michael Feldman

  • Assessment of algorithms for mitosis detection in breast cancer histopathology images

    Mitko Veta;Paul J. van Diest;Stefan M. Willems;Haibo Wang

  • Representation learning for mammography mass lesion classification with convolutional neural networks

    John Arevalo;Fabio A. González;Raúl Ramos-Pollán;Jose L. Oliveira

  • Anomaly Detection Using Real-Valued Negative Selection

    Fabio A. González;Dipankar Dasgupta

  • A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection.

    Angel Alfonso Cruz-Roa;John Edison Arevalo Ovalle;Anant Madabhushi;Fabio Augusto González Osorio

  • Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features

    Haibo Wang;Angel Cruz-Roa;Ajay Basavanhally;Hannah Leah Gilmore

  • Artificial immune system (AIS) research in the last five years

    D. Dasgupta;Z. Ji;F. Gonzalez

  • Combining negative selection and classification techniques for anomaly detection

    F. Gonzalez;D. Dasgupta;R. Kozma

  • A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images

    Gloria Díaz;Fabio A. González;Eduardo Romero

  • A Randomized Real-Valued Negative Selection Algorithm

    Fabio A. González;Fabio A. González;Dipankar Dasgupta;Luis Fernando Niño

  • Histopathology Image Classification Using Bag of Features and Kernel Functions

    Juan C. Caicedo;Angel Cruz;Fabio A. Gonzalez

  • Gated Multimodal Units for Information Fusion

    John Arevalo;Thamar Solorio;Manuel Montes-y-Gómez;Fabio A. González

  • Classifying phishing URLs using recurrent neural networks

    Alejandro Correa Bahnsen;Eduardo Contreras Bohorquez;Sergio Villegas;Javier Vargas

  • Convolutional Neural Networks for Authorship Attribution of Short Texts

    Prasha Shrestha;Sebastian Sierra;Fabio Gonzalez;Manuel Montes

  • Visual pattern mining in histology image collections using bag of features.

    Angel Cruz-Roa;Juan C. Caicedo;Fabio A. González

  • Convolutional neural networks for mammography mass lesion classification

    John Arevalo;Fabio A. Gonzalez;Raul Ramos-Pollan;Jose L. Oliveira

  • The effect of binary matching rules in negative selection

    Fabio González;Dipankar Dasgupta;Jonatan Gómez

  • The fuzzy artificial immune system: motivations, basic concepts, and application to clustering and Web profiling

    O. Nasaroui;F. Gonzalez;D. Dasgupta

Frequent Co-Authors

Dipankar Dasgupta
Dipankar Dasgupta University of Memphis
Olfa Nasraoui
Olfa Nasraoui University of Louisville
Anant Madabhushi
Anant Madabhushi Emory University
Hugo Jair Escalante
Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics
Alexander Gelbukh
Alexander Gelbukh Instituto Politécnico Nacional
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Thamar Solorio
Thamar Solorio Mohamed bin Zayed University of Artificial Intelligence
José Luís Oliveira
José Luís Oliveira University of Aveiro
Shridar Ganesan
Shridar Ganesan Rutgers, The State University of New Jersey
Nasir M. Rajpoot
Nasir M. Rajpoot University of Warwick

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