Fabio A. González

9.6k citations
198 papers · 5.1k · 3 hit papers · h-index 35

Impact in

Papers in

Fabio A. González

175 papers receiving 4.8k citations

Fabio A. González's Hit Papers

Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent 2017 · 359 citations
3590+4+8Years since publication100200300

Peers

Fabio A. González
Comparison fields: 5 of 177
  • Artificial Intelligence 2.8k
  • Health Informatics 95
  • Computer Vision and Pattern Recognition 1.4k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Biophysics 251
Replace Yudong Yao with:
Yudong Yao United States
Jaime S. Cardoso Portugal
Henning Müller Switzerland
Yang Song Australia
Suresh Chandra Satapathy India
Hamid R. Tizhoosh Canada
M. Emre Celebi United States
Prayag Tiwari China
Asifullah Khan Pakistan
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Fabio A. González relative to Yudong Yao United States Yudong Yao's profile →
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Citations per year

Countries citing papers authored by Fabio A. González

Since Specialization
Citations

This map shows the geographic impact of Fabio A. González's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fabio A. González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio A. González more than expected).

Fields of papers citing papers by Fabio A. González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio A. González. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fabio A. González. The network helps show where Fabio A. González may publish in the future.

Co-authors

The 25 scholars most cited alongside Fabio A. González, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fabio A. González Line = papers co-authored together Fabio A. González links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks
Hit paper breakdown →
2014382
2
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
Hit paper breakdown →
2017359
3
Representation learning for mammography mass lesion classification with convolutional neural networks
Hit paper breakdown →
2016322
4 2013270
5 2014252
6 2003225
7 2002220
8 2003160
9 2009146
10 2017135
11 2003119
12 2017102
13 201895
14 201194
15 201591
16 201483
17 201566
18 201963
19 202062
20 200460

About Fabio A. González

Fabio A. González is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Information Systems, having authored 198 papers that have together received 5.1k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (33 papers), Advanced Image and Video Retrieval Techniques (25 papers), AI in cancer detection (25 papers), Retinal Imaging and Analysis (19 papers), Video Analysis and Summarization (16 papers), Artificial Immune Systems Applications (16 papers), Anomaly Detection Techniques and Applications (15 papers) and Topic Modeling (13 papers). The work is most often cited by research in Artificial Intelligence (2.8k citations), Health Informatics (95 citations), Computer Vision and Pattern Recognition (1.4k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Biophysics (251 citations). Fabio A. González has collaborated with scholars based in Colombia, United States and Mexico. Frequent co-authors include Dipankar Dasgupta, Ángel Cruz-Roa, John Arévalo, Anant Madabhushi, Ajay Basavanhally, Natalie Shih, Hannah Gilmore, John Tomaszewski, Eduardo Romero and Michael D. Feldman. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Quantum Machine Intelligence, Neurocomputing, Forensic Science International and Journal of Biomedical Informatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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