| Aplicações do Deep Learning para diagnóstico de doenças e identificação de insetos vetores EP Souza, CM Gomes, DH Barroso, VL Miranda, R Gurgel-Gonçalves Saúde em Debate 43, 147-154, 2020 | 13 | 2020 |
| Lethal and sublethal effects of chemical constituents from essential oils on Callosobruchus maculatus (F.) (Coleoptera: Chrysomelidae: Bruchinae) in cowpea … DRS Barbosa, JV de Oliveira, PHS da Silva, MF Santana, MO Breda, ... Journal of Plant Diseases and Protection 128, 1575-1586, 2021 | 8 | 2021 |
| Automated Identification of Cutaneous Leishmaniasis Lesions Using Deep-Learning-Based Artificial Intelligence JFC Leal, DH Barroso, NS Trindade, VL Miranda, R Gurgel-Gonçalves Biomedicines 12 (1), 12, 2023 | 6 | 2023 |
| Cellphone picture-based, genus-level automated identification of Chagas disease vectors: Effects of picture orientation on the performance of five machine-learning algorithms VL de Miranda, EP de Souza, D Bambil, A Khalighifar, AT Peterson, ... Ecological Informatics 79, 102430, 2024 | 5 | 2024 |
| Nest spatial structure and population organization in the Neotropical ant Azteca chartifex spiriti Forel, 1912 (Hymenoptera: Formicidae: Dolichoderinae) VL Miranda, E Koch, JHC Delabie, L Bomfim, J Padre, C Mariano Annales de la Société entomologique de France (NS) 57 (6), 499-508, 2021 | 5 | 2021 |
| Aspectos da incidência de leishmaniose visceral humana e canina no município de Floriano/PI, Brasil OL Cavalcanti, VL Miranda, FPF Lappa, DBS Barbosa, DC Fortier, ... Revista Espacios 38 (8), 20-26, 2017 | 4 | 2017 |
| AI-driven convolutional neural networks for accurate identification of yellow fever vectors TO de Araújo, VL de Miranda, R Gurgel-Gonçalves Parasites & Vectors 17 (1), 329, 2024 | 3 | 2024 |
| Shooting in the dark: automatic identification of disease vectors without taxonomic expert supervision R Gurgel-Gonçalves, VL de Miranda, A Khalighifar, AT Peterson Ecological Informatics 75, 102029, 2023 | 2 | 2023 |
| Seasonality effect on ant (Hymenoptera: Formicidae) activity in an ecotonal environment in the state of Piauí, Brazil VL Miranda, EBA Koch, LS Oliveira, JJM Nunes, MRA Soares, ... Papéis Avulsos de Zoologia 62, e202262003, 2022 | 2 | 2022 |
| Mercury distribution in organisms, litter, and soils of the Middle Araguaia floodplain in Brazil IO Fernandes, LC Monteiro, VL de Miranda, YOS Rodrigues, ... Environmental Science and Pollution Research 31 (14), 20925-20940, 2024 | 1 | 2024 |
| Deep Learning applications for disease diagnosis and identification of insect vectors EP Souza, CM Gomes, DH Barroso, VL Miranda, R Gurgel-Gonçalves Saúde em Debate 43, 147-154, 2020 | 1 | 2020 |
| Mercury distribution, bioaccumulation, and biomagnification in riparian ecosystems from a neotropical savanna floodplain, Araguaia River, central Brazil LC Monteiro, LCG Vieira, JVE Bernardi, ... Environmental Research 252, 118906, 2024 | | 2024 |
| Inovações para identificação automática de triatomíneos (Hemiptera: Reduviidae) baseada no processamento de imagens por aprendizado de máquina VL Miranda | | 2024 |
| Mercury Dynamics in Organims, Litter, and Soils of the Middle Araguaia Floodplain in Brazil IO Fernandes, LC Monteiro, VL De Miranda, YOS Rodrigues, ... | | 2023 |
| Automatic identification of triatomine nymphs using an artificial intelligence algorithm RL Sousa, VL Miranda, G Ribeiro Junior, EP Souza, RG Gonçalves Universidade Tiradentes, 2023 | | 2023 |
| Sistemática, ecologia e importância epidemiológica de Triatoma costalimai, vetor negligenciado de Trypanosoma cruzi VL Miranda | | 2022 |
| Triatoma costalimai, a neglected vector of Trypanosoma cruzi in the Cerrado savannas of South America: A comprehensive review VL de Miranda, R Gurgel-Gonçalves, RCM de Souza, F Abad-Franch Current Research in Parasitology & Vector-Borne Diseases 2, 100102, 2022 | | 2022 |
| Automated identification of Chagas disease vectors using AlexNet pre‐trained convolutional neural networks VL Miranda, JPS Oliveira‐Correia, C Galvão, MT Obara, AT Peterson, ... Medical and Veterinary Entomology, 0 | | |