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Publication search results
found 13 matches
- 2024
- Matheus de Freitas Oliveira Baffa, Denise Maria Zezell, Luciano Bachmann, Thiago Martini Pereira, Thomas Martin Deserno, Joaquim Cezar Felipe:
Deep neural networks can differentiate thyroid pathologies on infrared hyperspectral images. Comput. Methods Programs Biomed. 247: 108100 (2024) - 2023
- Matheus de Freitas Oliveira Baffa, João Guilherme Pereira, Fabrício Henrique Simozo, Luiz Otávio Murta Júnior, Joaquim Cezar Felipe:
Focal cortical dysplasia classification for refractory epilepsy detection using artificial neural network. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 326-330 (2023) - Elisson Carlos de Carvalho, Alessandra Martins Coelho, Aura Conci, Matheus de Freitas Oliveira Baffa:
U-Net Convolutional Neural Networks for breast IR imaging segmentation on frontal and lateral view. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 311-316 (2023) - Frederico Barbosa Muniz, Matheus de Freitas Oliveira Baffa, Sergio Britto Garcia, Luciano Bachmann, Joaquim Cezar Felipe:
Histopathological diagnosis of colon cancer using micro-FTIR hyperspectral imaging and deep learning. Comput. Methods Programs Biomed. 231: 107388 (2023) - Matheus de Freitas Oliveira Baffa, Luciano Bachmann, Denise Maria Zezell, Thiago Martini Pereira, Thomas Martin Deserno, Joaquim Cezar Felipe:
Advancing Thyroid Pathologies Detection with Recurrent Neural Networks and Micro-FTIR Hyperspectral Imaging. CBMS 2023: 611-615 - Matheus de Freitas Oliveira Baffa, Lucas Grassano Lattari, Aura Conci:
3D Convolutional Neural Networks for Dynamic Breast Infrared Imaging Classification. AIIIMA@MICCAI 2023: 57-66 - Matheus de Freitas Oliveira Baffa, Joaquim Cezar Felipe, João Victor Gomes Martins, Alessandra Marins Coelho:
Radiomic Features for Diabetic Retinopathy Early Detection Using Deep Neural Networks. SITIS 2023: 281-286 - Octavio Xavier Furio, Carlos Eduardo Rodrigues Dos Santos, Arthur Melo De Oliveira, Matheus de Freitas Oliveira Baffa, Joaquim Cezar Felipe:
Breast Cancer Detection in Histological Images Using Radiomic Features and Fully Connected Neural Networks. SITIS 2023: 153-157 - 2022
- Matheus de Freitas Oliveira Baffa, Aura Conci:
Radiomics for Breast IR-Imaging Classification. AIIIMA/MIABID@MICCAI 2022: 10-19 - Matheus de Freitas Oliveira Baffa, Fernando Lucas Lima Martins, Alessandra Martins Coelho, Joaquim Cezar Felipe:
COVID-19 and Viral Pneumonia Classification Using Radiomic Features and Deep Learning. SITIS 2022: 380-385 - 2021
- Davidson Lucas De Souza, Alessandra Martins Coelho, Joaquim Cezar Felipe, Matheus de Freitas Oliveira Baffa:
Brain Tumor Classification on Multi-Modality MRI Using Radiomic Features. BIBM 2021: 1799-1804 - Matheus de Freitas Oliveira Baffa, Luciano Bachmann, Thiago Martini Pereira, Joaquim Cezar Felipe:
Hyperspectral Signal Analysis for Thyroid Neoplasm Typification On Infrared Spectrum. CBMS 2021: 131-136 - 2018
- Matheus de Freitas Oliveira Baffa, Lucas Grassano Lattari:
Convolutional Neural Networks for Static and Dynamic Breast Infrared Imaging Classification. SIBGRAPI 2018: 174-181
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