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 | 140 | 2022 |
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 | 28 | 2019 |
Graph-based image segmentation using dynamic trees J Bragantini, SB Martins, C Castelo-Fernandez, AX Falcão Iberoamerican Congress on Pattern Recognition, 470-478, 2018 | 26 | 2018 |
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 | 26 | 2015 |
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 | 14 | 2019 |
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 | 13 | 2019 |
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 | 11 | 2017 |
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 | 7 | 2019 |
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 | 6 | 2020 |
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 | 6 | 2019 |
BADRESC: Brain Anomaly Detection based on Registration Errors and Supervoxel Classification. SB Martins, AX Falcao, AC Telea BIOIMAGING, 74-81, 2020 | 5 | 2020 |
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 | 5 | 2016 |
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 | 3 | 2023 |
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 | 2 | 2017 |
Introdução ao Processamento Digital de Imagens S MARTINS Universidade Estadual de Campinas(UNICAMP), 2016 | 2 | 2016 |
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 | 2 | 2015 |
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 | 1 | 2023 |
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 | 1 | 2021 |
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 | 1 | 2020 |
Unsupervised brain anomaly detection in MR images SB Martins | 1 | 2020 |