Marcio Ajudarte Lopes

Affiliations: 
Stomatology Faculdade de Odontologia de Piracicaba (FOP) 
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"Marcio Lopes"
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Aulestia-Viera PV, Rodrigues-Fernandes CI, Brandão TB, et al. (2024) Malignant tumors affecting the head and neck region in ancient times: Comprehensive study of the CRAB Database. Brazilian Oral Research. 38: e014
Silva LC, Leite AA, Borgato GB, et al. (2023) Oral squamous cell carcinoma cancer stem cells have different drug sensitive to pharmacological NFκB and histone deacetylation inhibition. American Journal of Cancer Research. 13: 6038-6050
Louredo BVR, Curado MP, Penafort PVM, et al. (2023) Contribution of public oral pathology services to the diagnosis of oral and oropharyngeal cancer in Brazil. Brazilian Oral Research. 37: e126
Araújo ALD, Silva VMD, Moraes MC, et al. (2023) The use of deep learning state-of-the-art architectures for oral epithelial dysplasia grading: A comparative appraisal. Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
Giraldo-Roldan D, Ribeiro ECC, Araújo ALD, et al. (2023) Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas. Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology. 52: 988-995
Cruz VMS, Pérez-de-Oliveira ME, Dos Santos Leite ÉG, et al. (2023) Clinicopathological study and survival outcomes of sialoblastoma: A systematic review. Head & Neck. 45: 2136-2148
Kirschnick LB, Silveira FM, Schuch LF, et al. (2023) Acinic cell carcinoma of the oral and maxillofacial region: an international multicenter study. Brazilian Oral Research. 37: e050
Silva LC, Borgato GB, Wagner VP, et al. (2023) Repurposing NFκB and HDAC inhibitors to individually target cancer stem cells and non-cancer stem cells from mucoepidermoid carcinomas. American Journal of Cancer Research. 13: 1547-1559
Araújo ALD, de Souza ESC, Faustino ISP, et al. (2023) Clinicians' perception of oral potentially malignant disorders: a pitfall for image annotation in supervised learning. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology
Araújo ALD, Moraes MC, Pérez-de-Oliveira ME, et al. (2023) Machine learning for the prediction of toxicities from head and neck cancer treatment: A systematic review with meta-analysis. Oral Oncology. 140: 106386
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