| Deep learning approaches for challenging species and gender identification of mosquito vectors V Kittichai, T Pengsakul, K Chumchuen, Y Samung, P Sriwichai, ... Scientific reports 11 (1), 4838, 2021 | 51 | 2021 |
| Identification of blood meal of field caught Aedes aegypti (L.) by multiplex PCR P Siriyasatien, T Pengsakul, V Kittichai, A Phumee, S Kaewsaitiam, ... Southeast Asian journal of tropical medicine and public health 41 (1), 43, 2010 | 40 | 2010 |
| Classification for avian malaria parasite Plasmodium gallinaceum blood stages by using deep convolutional neural networks V Kittichai, M Kaewthamasorn, S Thanee, R Jomtarak, K Klanboot, ... Scientific reports 11 (1), 16919, 2021 | 26 | 2021 |
| Evolution of the Plasmodium vivax multidrug resistance 1 gene in the Greater Mekong Subregion during malaria elimination HG Ngassa Mbenda, M Wang, J Guo, FA Siddiqui, Y Hu, Z Yang, ... Parasites & vectors 13, 1-14, 2020 | 20 | 2020 |
| Substantial population structure of Plasmodium vivax in Thailand facilitates identification of the sources of residual transmission V Kittichai, C Koepfli, W Nguitragool, J Sattabongkot, L Cui PLoS neglected tropical diseases 11 (10), e0005930, 2017 | 20 | 2017 |
| Artificial intelligence assistance in radiographic detection and classification of knee osteoarthritis and its severity: a cross-sectional diagnostic study N Pongsakonpruttikul, C Angthong, V Kittichai, S Chuwongin, ... Eur Rev Med Pharmacol Sci 26 (5), 1549-1558, 2022 | 17 | 2022 |
| Automatic recognition of parasitic products in stool examination using object detection approach KM Naing, S Boonsang, S Chuwongin, V Kittichai, T Tongloy, ... PeerJ Computer Science 8, e1065, 2022 | 14 | 2022 |
| Genetic diversity of the Plasmodium vivax multidrug resistance 1 gene in Thai parasite populations V Kittichai, W Nguitragool, HGN Mbenda, J Sattabongkot, L Cui Infection, Genetics and Evolution 64, 168-177, 2018 | 13 | 2018 |
| Simultaneous phenotyping of five Rh red blood cell antigens on a paper-based analytical device combined with deep learning for rapid and accurate interpretation N Larpant, W Niamsi, J Noiphung, W Chanakiat, T Sakuldamrongpanich, ... Analytica Chimica Acta 1207, 339807, 2022 | 11 | 2022 |
| Dynamics of Plasmodium vivax populations in border areas of the Greater Mekong sub-region during malaria elimination Y Li, Y Hu, Y Zhao, Q Wang, HG Ngassa Mbenda, V Kittichai, ... Malaria Journal 19, 1-12, 2020 | 9 | 2020 |
| Relationships between dengue virus infection in mosquito vector,(Aedes aegypti), dengue cases and weather conditions in Samut Sakhon Province, Thailand V Kittichai, P Montriwat, J Chompoosri, P Bhakdeenuan, T Pengsakul, ... Chula Med J 59 (4), 347-63, 2015 | 4 | 2015 |
| Double dengue serotypes in asymptomatic populations living in an area of Thailand endemic for dengue hemorrhagic fever V Kittichai, M Sriprapun, P Konklong, N Thonsangin, J Chompoosri, ... The Thai Journal of Veterinary Medicine 45 (2), 205-212, 2015 | 4 | 2015 |
| Automatic identification of medically important mosquitoes using embedded learning approach-based image-retrieval system V Kittichai, M Kaewthamasorn, Y Samung, R Jomtarak, KM Naing, ... Scientific Reports 13 (1), 10609, 2023 | 3 | 2023 |
| Images retrieval and classification for acute myeloid leukemia blood cell using deep metric learning KM Naing, V Kittichai, T Tongloy, S Chuwongin, S Boonsang Asian Conference on Intelligent Information and Database Systems, 27-39, 2023 | 2 | 2023 |
| Mobile Bot Application for Identification of Trypanosoma evansi Infection through Thin-Blood Film Examination Based on Deep Learning Approach R Jomtarak, V Kittichai, M Kaewthamasorn, S Thanee, A Arnuphapprasert, ... 2023 IEEE International Conference on Cybernetics and Innovations (ICCI), 1-7, 2023 | 2 | 2023 |
| The Evaluation of Acute Myeloid Leukaemia (AML) Blood Cell Detection Models Using Different YOLO Approaches KM Naing, V Kittichai, T Tongloy, S Chuwongin, S Boonsang bioRxiv, 2021.08. 04.455113, 2021 | 2 | 2021 |
| Performance of deep convolutional neural network approaches and human level in detecting mosquito species R Jomtarak, V Kittichai, T Pengsakul, N Phatthamolrat, KM Naing, ... bioRxiv, 2021.07. 23.453554, 2021 | 2 | 2021 |
| Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model. V Kittichai, M Kaewthamasorn, S Thanee, T Sasisaowapak, KM Naing, ... Journal of Visualized Experiments: Jove, 2023 | 1 | 2023 |
| Superior automatic screening for human helminthic ova by using self-supervised learning approach-based object classification N Pinetsuksai, V Kittichai, R Jomtarak, K Jaksukam, T Tongloy, ... Asian Conference on Intelligent Information and Database Systems, 40-51, 2023 | 1 | 2023 |
| A novel approach for identification of zoonotic trypanosome utilizing deep metric learning and vector database-based image retrieval system V Kittichai, W Sompong, M Kaewthamasorn, T Sasisaowapak, KM Naing, ... Heliyon, 2024 | | 2024 |
