Samuel Botter Martins

504 total citations
15 papers, 58 citations indexed

About

Samuel Botter Martins is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Samuel Botter Martins has authored 15 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Neurology. Recurrent topics in Samuel Botter Martins's work include Medical Image Segmentation Techniques (7 papers), Brain Tumor Detection and Classification (6 papers) and Anomaly Detection Techniques and Applications (3 papers). Samuel Botter Martins is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Brain Tumor Detection and Classification (6 papers) and Anomaly Detection Techniques and Applications (3 papers). Samuel Botter Martins collaborates with scholars based in Brazil and Netherlands. Samuel Botter Martins's co-authors include Alexandre X. Falcão, Clarissa Lin Yasuda, Fabiano Reis, Alexandru Telea, Ericson Bagatin, Klaus Irion, Thiago V. Spina, Jordão Bragantini, Guilherme Ruppert and Tárcio André dos Santos Barros and has published in prestigious journals such as Medical Physics, World Neurosurgery and Computerized Medical Imaging and Graphics.

In The Last Decade

Samuel Botter Martins

15 papers receiving 57 citations

Peers

Countries citing papers authored by Samuel Botter Martins

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Botter Martins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Botter Martins. 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 Samuel Botter Martins. The network helps show where Samuel Botter Martins may publish in the future.

Co-authorship network of co-authors of Samuel Botter Martins

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Botter Martins. A scholar is included among the top collaborators of Samuel Botter Martins 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 Samuel Botter Martins. Samuel Botter Martins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Ki67 Index Correlates with Tumoral Volumetry and 5-ALA Residual Fluorescence in Glioblastoma 2024 ·World Neurosurgery ·F Sprenger, Erasmo Barros da Silva, Ricardo Ramina, Marcela Santos Cavalcanti, Samuel Botter Martins, (unknown), Alexandre X. Falcão, Bernardo Corrêa de Almeida Teixeira	1
2	Data-Driven Analysis of Solar Photovoltaic Systems: Correlation and Distribution Patterns 2023 ·(unknown), (unknown), Samuel Botter Martins, (unknown), Tárcio André dos Santos Barros, Marcelo Gradella Villalva	1
3	Comparison and Application of Data Science Techniques for Anomaly Detection in Photovoltaic Systems 2023 ·(unknown), (unknown), Samuel Botter Martins, (unknown), (unknown), Tárcio André dos Santos Barros	4
4	Unsupervised Brain Anomaly Detection in MR Images 2021 ·Samuel Botter Martins, Alexandru Telea, Alexandre X. Falcão	1
5	Investigating the impact of supervoxel segmentation for unsupervised abnormal brain asymmetry detection 2020 ·Computerized Medical Imaging and Graphics ·Samuel Botter Martins, Alexandru Telea, Alexandre X. Falcão	3
6	BADRESC: Brain Anomaly Detection based on Registration Errors and Supervoxel Classification 2020 ·Samuel Botter Martins, Alexandre X. Falcão, Alexandru Telea	2
7	ALTIS: A fast and automatic lung and trachea CT‐image segmentation method 2019 ·Medical Physics ·(unknown), Samuel Botter Martins, Alexandre X. Falcão, Fabiano Reis, Ericson Bagatin, Klaus Irion	16
8	An adaptive probabilistic atlas for anomalous brain segmentation in MR images 2019 ·Medical Physics ·Samuel Botter Martins, Jordão Bragantini, Alexandre X. Falcão, Clarissa Lin Yasuda	8
9	A Supervoxel-Based Approach for Unsupervised Abnormal Asymmetry Detection in Mr Images of the Brain 2019 ·Samuel Botter Martins, Guilherme Ruppert, Fabiano Reis, Clarissa Lin Yasuda, Alexandre X. Falcão	7
10	Extending Supervoxel-based Abnormal Brain Asymmetry Detection to the Native Image Space 2019 ·PubMed ·Samuel Botter Martins, Alexandru Telea, Alexandre X. Falcão	2
11	Modeling normal brain asymmetry in MR images applied to anomaly detection without segmentation and data annotation 2019 ·Samuel Botter Martins, (unknown), (unknown), Clarissa Lin Yasuda, Alexandre X. Falcão	4
12	A Fast and Robust Negative Mining Approach for Enrollment in Face Recognition Systems 2017 ·Samuel Botter Martins, Giovani Chiachia, Alexandre X. Falcão	1
13	A multi-object statistical atlas adaptive for deformable registration errors in anomalous medical image segmentation 2017 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Samuel Botter Martins, Thiago V. Spina, Clarissa Lin Yasuda, Alexandre X. Falcão	5
14	Interactive Medical Image Segmentation by Statistical Seed Models 2016 ·Thiago V. Spina, Samuel Botter Martins, Alexandre X. Falcão	1
15	Medical image segmentation using Object Shape Models: A critical review on recent trends, and alternative directions 2015 ·Alexandre X. Falcão, Thiago V. Spina, Samuel Botter Martins, (unknown)	2

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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