Samuel Botter Martins

According to our database, Samuel Botter Martins authored at least 10 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Investigating the impact of supervoxel segmentation for unsupervised abnormal brain asymmetry detection.

Samuel Botter Martins, Alexandru C. Telea, Alexandre X. Falcão

Comput. Medical Imaging Graph., 2020

Combining Registration Errors and Supervoxel Classification for Unsupervised Brain Anomaly Detection.

Samuel Botter Martins, Alexandre Xavier Falcão, Alexandru Cristian Telea

Proceedings of the Biomedical Engineering Systems and Technologies, 2020

BADRESC: Brain Anomaly Detection based on Registration Errors and Supervoxel Classification.

Samuel Botter Martins, Alexandre X. Falcão, Alexandru C. Telea

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

Modeling normal brain asymmetry in MR images applied to anomaly detection without segmentation and data annotation.

Samuel Botter Martins, Barbara Caroline Benato, Bruna Ferreira Silva, Clarissa Lyn Yasuda, Alexandre Xavier Falcão

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

A Supervoxel-Based Approach for Unsupervised Abnormal Asymmetry Detection in Mr Images of the Brain.

Samuel Botter Martins, Guilherme C. S. Ruppert, Fabiano Reis, Clarissa L. Yasuda, Alexandre X. Falcão

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Extending Supervoxel-based Abnormal Brain Asymmetry Detection to the Native Image Space.

Samuel Botter Martins, Alexandru C. Telea, Alexandre X. Falcão

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Graph-Based Image Segmentation Using Dynamic Trees.

Jordão Bragantini, Samuel Botter Martins, César Castelo-Fernández, Alexandre Xavier Falcão

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017

A Fast and Robust Negative Mining Approach for Enrollment in Face Recognition Systems.

Samuel Botter Martins, Giovani Chiachia, Alexandre Xavier Falcão

Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

A multi-object statistical atlas adaptive for deformable registration errors in anomalous medical image segmentation.

Samuel Botter Martins, Thiago Vallin Spina, Clarissa L. Yasuda, Alexandre X. Falcão

Proceedings of the Medical Imaging 2017: Image Processing, 2017

2016

Interactive Medical Image Segmentation by Statistical Seed Models.

Thiago Vallin Spina, Samuel Botter Martins, Alexandre Xavier Falcão

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016