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Samuel Botter Martins
Samuel Botter Martins
Professor of computer science, Federal Institute of São Paulo, Brazil
Verified email at ifsp.edu.br - Homepage
Title
Cited by
Cited by
Year
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
1192022
ALTIS: A fast and automatic lung and trachea CT‐image segmentation method
AM Sousa, SB Martins, AX Falcao, F Reis, E Bagatin, K Irion
Medical physics 46 (11), 4970-4982, 2019
282019
Graph-based image segmentation using dynamic trees
J Bragantini, SB Martins, C Castelo-Fernandez, AX Falcão
Iberoamerican Congress on Pattern Recognition, 470-478, 2018
262018
Diagnosis of human intestinal parasites by deep learning
AZ Peixinho, SB Martins, JE Vargas, AX Falcao, JF Gomes, CTN Suzuki
Computational Vision and Medical Image Processing V: Proceedings of the 5th …, 2015
262015
An adaptive probabilistic atlas for anomalous brain segmentation in MR images
SB Martins, J Bragantini, AX Falcao, CL Yasuda
Medical physics 46 (11), 4940-4950, 2019
142019
A supervoxel-based approach for unsupervised abnormal asymmetry detection in MR images of the brain
SB Martins, G Ruppert, F Reis, CL Yasuda, AX Falcão
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
132019
A multi-object statistical atlas adaptive for deformable registration errors in anomalous medical image segmentation
SB Martins, TV Spina, C Yasuda, AX Falcao
SPIE Medical Imaging, 101332G-101332G-8, 2017
112017
Extending supervoxel-based abnormal brain asymmetry detection to the native image space
SB Martins, AC Telea, AX Falcao
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
72019
Investigating the impact of supervoxel segmentation for unsupervised abnormal brain asymmetry detection
SB Martins, AC Telea, AX Falcao
Computerized Medical Imaging and Graphics 85, 101770, 2020
62020
Modeling normal brain asymmetry in MR images applied to anomaly detection without segmentation and data annotation
SB Martins, BC Benato, BF Silva, CL Yasuda, AX Falcão
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 71-80, 2019
62019
BADRESC: Brain Anomaly Detection based on Registration Errors and Supervoxel Classification.
SB Martins, AX Falcao, AC Telea
BIOIMAGING, 74-81, 2020
52020
Interactive medical image segmentation by statistical seed models
TV Spina, SB Martins, AX Falcao
2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2016
52016
A fast and robust negative mining approach for enrollment in face recognition systems
SB Martins, G Chiachia, AX Falcão
2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2017
22017
Introdução ao Processamento Digital de Imagens
S MARTINS
Universidade Estadual de Campinas(UNICAMP), 2016
22016
Medical image segmentation using object shape models: A critical review on recent trends, and alternative directions
AX Falcão, TV Spina, SB Martins, R Phellan
Proc. of the Eccomas Thematic Conference on Computational Vision and Medical …, 2015
22015
Author Correction: Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
nature communications 14 (1), 436, 2023
12023
Unsupervised brain anomaly detection in MR images
SB Martins, AC Telea, AX Falcao
Anais Estendidos do XXXIV Conference on Graphics, Patterns and Images, 84-90, 2021
12021
Combining registration errors and supervoxel classification for unsupervised brain anomaly detection
SB Martins, AX Falcão, AC Telea
International Joint Conference on Biomedical Engineering Systems and …, 2020
12020
Unsupervised brain anomaly detection in MR images
SB Martins
12020
Data-Driven Analysis of Solar Photovoltaic Systems: Correlation and Distribution Patterns
JLDS Silva, MM Cavalcante, SB Martins, EJ Da Silva, TADS Barros, ...
2023 IEEE 8th Southern Power Electronics Conference (SPEC), 1-7, 2023
2023
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