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Matheus Cardoso Moraes

Showing results (11-20 of 26) with videos related to

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Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|October 18, 2025
Machine learning models for predicting recurrence and malignant transformation of oral leukoplakiaCaique Mariano Pedroso, Anderson Faria Claret, Rafael Vasconcelos Costa Machado, et al.
Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology|June 4, 2024
Feasibility study of ResNet-50 in the distinction of intraoral neural tumors using histopathological imagesGiovanna Calabrese Dos Santos, Anna Luíza Damaceno Araújo, Henrique Alves de Amorim, et al.
Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology|January 19, 2026
Machine Learning for Predicting Malignant Transformation in Actinic Cheilitis: A Prognostic Support System Based on Demographic and Clinical DescriptorsIvan José Correia-Neto, Alex Franco da Costa, Anna Luíza Damaceno Araújo, et al.
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|February 1, 2025
Artificial intelligence in healthcare applications targeting cancer diagnosis-part I: data structure, preprocessing and data organizationAnna Luíza Damaceno Araújo, Marcelo Sperandio, Giovanna Calabrese, et al.
Oral Oncology|April 6, 2023
Machine learning for the prediction of toxicities from head and neck cancer treatment: A systematic review with meta-analysisAnna Luíza Damaceno Araújo, Matheus Cardoso Moraes, Maria Eduarda Pérez-de-Oliveira, et al.
Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology|September 15, 2023
Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomasDaniela Giraldo-Roldan, Erin Crespo Cordeiro Ribeiro, Anna Luiza Damaceno Araújo, et al.
Head and Neck Pathology|November 10, 2025
Evaluation of Deep Learning Convolutional Neural Networks for Classification of Carcinoma Ex Pleomorphic Adenoma and Pleomorphic Adenoma in Whole-Slide ImagesThaís Cerqueira Reis Nakamura, Sebastião Silvério Sousa-Neto, Giovanna Calabrese Dos Santos, et al.
Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology|May 29, 2024
Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: A systematic reviewDaniela Giraldo-Roldán, Anna Luíza Damaceno Araújo, Matheus Cardoso Moraes, et al.
Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology|January 4, 2023
Machine learning concepts applied to oral pathology and oral medicine: A convolutional neural networks' approachAnna Luíza Damaceno Araújo, Viviane Mariano da Silva, Maíra Suzuka Kudo, et al.
Head and Neck Pathology|February 19, 2026
Impact of Transfer Learning on Convolutional Neural Networks for Odontogenic Tumor DiagnosisDaniela Giraldo-Roldán, Thaís Cerqueira Reis Nakamura, Anderson Faria Claret, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|October 18, 2025
Machine learning models for predicting recurrence and malignant transformation of oral leukoplakiaCaique Mariano Pedroso, Anderson Faria Claret, Rafael Vasconcelos Costa Machado, et al.
Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology|June 4, 2024
Feasibility study of ResNet-50 in the distinction of intraoral neural tumors using histopathological imagesGiovanna Calabrese Dos Santos, Anna Luíza Damaceno Araújo, Henrique Alves de Amorim, et al.
Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology|January 19, 2026
Machine Learning for Predicting Malignant Transformation in Actinic Cheilitis: A Prognostic Support System Based on Demographic and Clinical DescriptorsIvan José Correia-Neto, Alex Franco da Costa, Anna Luíza Damaceno Araújo, et al.
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|February 1, 2025
Artificial intelligence in healthcare applications targeting cancer diagnosis-part I: data structure, preprocessing and data organizationAnna Luíza Damaceno Araújo, Marcelo Sperandio, Giovanna Calabrese, et al.
Oral Oncology|April 6, 2023
Machine learning for the prediction of toxicities from head and neck cancer treatment: A systematic review with meta-analysisAnna Luíza Damaceno Araújo, Matheus Cardoso Moraes, Maria Eduarda Pérez-de-Oliveira, et al.
Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology|September 15, 2023
Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomasDaniela Giraldo-Roldan, Erin Crespo Cordeiro Ribeiro, Anna Luiza Damaceno Araújo, et al.
Head and Neck Pathology|November 10, 2025
Evaluation of Deep Learning Convolutional Neural Networks for Classification of Carcinoma Ex Pleomorphic Adenoma and Pleomorphic Adenoma in Whole-Slide ImagesThaís Cerqueira Reis Nakamura, Sebastião Silvério Sousa-Neto, Giovanna Calabrese Dos Santos, et al.
Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology|May 29, 2024
Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: A systematic reviewDaniela Giraldo-Roldán, Anna Luíza Damaceno Araújo, Matheus Cardoso Moraes, et al.
Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology|January 4, 2023
Machine learning concepts applied to oral pathology and oral medicine: A convolutional neural networks' approachAnna Luíza Damaceno Araújo, Viviane Mariano da Silva, Maíra Suzuka Kudo, et al.
Head and Neck Pathology|February 19, 2026
Impact of Transfer Learning on Convolutional Neural Networks for Odontogenic Tumor DiagnosisDaniela Giraldo-Roldán, Thaís Cerqueira Reis Nakamura, Anderson Faria Claret, et al.
Pageof 3