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 | 33 | 2021 |
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 | 16 | 2022 |
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 | 8 | 2023 |
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 | 4 | 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 |
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 |
The detection and classification of acute myeloid leukaemia blood cell images based on different YOLO approaches KM Naing, V Kittichai, T Tongloy, S Chuwongin, S Boonsang Bulletin of Electrical Engineering and Informatics 13 (2), 1147-1158, 2024 | | 2024 |
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images (Video)| JoVE V Kittichai, M Kaewthamasorn, S Thanee, T Sasisaowapak, KM Naing, ... JoVE (Journal of Visualized Experiments), e65557, 2023 | | 2023 |
A Comparison of Deep Learning Approaches and Human Performance in Detecting Mosquito Species R Jomtarak, V Kittichai, T Pengsakul, Y Samung, N Phatthamolrat, ... Available at SSRN 4115186, 2022 | | 2022 |
Remote Access Digital Combination Circuit Experiment Set Based on FPGA Using IC Package Simulation KM Naing, P Noiying, N Sangkanong 5th International Conference on Technical Education, 479-485, 2017 | | 2017 |