Carlos A. Silva

11.6k total citations · 1 hit paper
55 papers, 3.1k citations indexed

About

Carlos A. Silva is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Carlos A. Silva has authored 55 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Carlos A. Silva's work include Medical Image Segmentation Techniques (9 papers), Retinal Imaging and Analysis (8 papers) and Brain Tumor Detection and Classification (8 papers). Carlos A. Silva is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Retinal Imaging and Analysis (8 papers) and Brain Tumor Detection and Classification (8 papers). Carlos A. Silva collaborates with scholars based in Portugal, Switzerland and United States. Carlos A. Silva's co-authors include Sérgio Pereira, Adriano Pinto, Victor Alves, Mauricio Reyes, Roland Wiest, Raphael Meier, Fried-Michael Dahlweid, Ronald M. Summers, Hendrik von Tengg‐Kobligk and Richard McKinley and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Carlos A. Silva

50 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

2016 1.8k citations Sérgio Pereira, Adriano Pinto et al. profile →

Peers

Countries citing papers authored by Carlos A. Silva

Since Specialization

Citations

This map shows the geographic impact of Carlos A. Silva'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 Carlos A. Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos A. Silva more than expected).

Fields of papers citing papers by Carlos A. Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos A. Silva. 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 Carlos A. Silva. The network helps show where Carlos A. Silva may publish in the future.

Co-authorship network of co-authors of Carlos A. Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos A. Silva. A scholar is included among the top collaborators of Carlos A. Silva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carlos A. Silva. Carlos A. Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Iterative wireless node localization based on Bluetooth and visible light for smart lighting systems 2024 ·Marília Barandas, (unknown), F. Jorge, Carlos A. Silva	1
2	From Sound Perception to Automatic Detection of Schizophrenia: An EEG-Based Deep Learning Approach 2022 ·Frontiers in Psychiatry ·(unknown), Brian J. Roach, Judith M. Ford, (unknown), Carlos A. Silva	22
3	Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls 2021 ·Artificial Intelligence in Medicine ·(unknown), Carlos A. Silva, (unknown)	62
4	Combining unsupervised and supervised learning for predicting the final stroke lesion 2020 ·Medical Image Analysis ·Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva	25
5	On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities 2020 ·Radiology Artificial Intelligence ·Mauricio Reyes, Raphael Meier, Sérgio Pereira, Carlos A. Silva, Fried-Michael Dahlweid, Hendrik von Tengg‐Kobligk, Ronald M. Summers, Roland Wiest	283
6	Neuroimaging Correlates of Depression—Implications to Clinical Practice 2019 ·Frontiers in Psychiatry ·(unknown), Carlos A. Silva, Elie Cheniaux, Diogo Telles‐Correia	33
7	Ensemble Learning Approaches for Retinal Vessel Segmentation 2019 ·(unknown), A. Lopes, Carlos A. Silva	5
8	Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information 2018 ·Frontiers in Neurology ·Adriano Pinto, Richard McKinley, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes	55
9	Hierarchical brain tumour segmentation using extremely randomized trees 2018 ·Pattern Recognition ·Adriano Pinto, Sérgio Pereira, (unknown), Carlos A. Silva	72
10	Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation 2017 ·Medical Image Analysis ·Sérgio Pereira, Raphael Meier, Richard McKinley, Roland Wiest, Victor Alves, Carlos A. Silva, Mauricio Reyes	79
11	Multi-surface segmentation of OCT images with AMD using sparse high order potentials 2016 ·Biomedical Optics Express ·(unknown), Sérgio Pereira, (unknown), Manuel Ferreira, Carlos A. Silva	28
12	Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields 2016 ·Journal of Neuroscience Methods ·Sérgio Pereira, Adriano Pinto, (unknown), Adriënne M. Mendrik, J. H. Correia, Carlos A. Silva	43
13	Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features 2015 ·PubMed ·Adriano Pinto, Sérgio Pereira, (unknown), (unknown), (unknown), Carlos A. Silva	69
14	Integratable capacitive bubble counter for lab-on-chip devices 2014 ·(unknown), Carlos A. Silva, Tao Dong	5
15	Segmentation of small bowel tumor tissue in capsule endoscopy images by using the MAP algorithm 2012 ·PubMed ·Pedro M. Vieira, Jaime Ramos, Daniel Barbosa, (unknown), Carlos A. Silva, (unknown), Carlos Lima	12
16	Breast skin-line detection using dynamic programming 2011 ·PubMed ·Carlos A. Silva, Carlos Lima, J. H. Correia	6
17	Prediction of fiber orientation in a rotating compressing and expanding mold 2008 ·Polymer Engineering and Science ·Jiang Wang, Carlos A. Silva, Júlio C. Viana, F. W. J. van Hattum, A. M. Cunha, Charles L. Tucker	19
18	A language for automatic generation of fast instruction-set compiled simulators 2008 ·(unknown), Carlos Couto, Carlos A. Silva, Adriano Tavares	1
19	Applying aspects to a real-time embedded operating system 2007 ·Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) ·(unknown), Carlos A. Silva, Sérgio Montenegro, Adriano Tavares	16
20	Blind source separation by independent component analysis applied to electroencephalographic signals 2003 ·RepositóriUM (Universidade do Minho) ·Carlos Lima, Carlos A. Silva, Adriano Tavares, (unknown)	1

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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