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Veerayuth Kittichai
Veerayuth Kittichai
King Mongkut’s Institue of Techology Ladkrabang in
在 kmitl.ac.th 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
562021
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
422010
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
332021
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
242017
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
232022
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
212020
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
162022
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
142018
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
112022
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
102020
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
82023
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
42023
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
42015
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
42015
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
22023
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
22023
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
22023
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
22021
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
22021
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 10 (9), 2024
2024
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