| A comparative study of image quality assessment W Preedanan, T Kondo, P Bunnun, I Kumazawa 2018 international workshop on advanced image technology (IWAIT), 1-4, 2018 | 20 | 2018 |
| Automated detection of plasmodium falciparum from Giemsa-stained thin blood films W Preedanan, M Phothisonothai, W Senavongse, S Tantisatirapong 2016 8th international conference on knowledge and smart technology (KST …, 2016 | 19 | 2016 |
| Urinary stones segmentation in abdominal X-ray images based on U-Net deep learning model and data augmentation techniques W Preedanan, I Kumazawa, T Kondo, I Junichiro 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP …, 2020 | 5 | 2020 |
| Image quality assessment for medical images based on gradient information W Preedanan, T Kondo, P Bunnun, I Kumazawa 2018 5th International Conference on Business and Industrial Research (ICBIR …, 2018 | 3 | 2018 |
| Urinary stones segmentation in abdominal X-ray images using cascaded U-net pipeline with stone-embedding augmentation and lesion-size reweighting approach W Preedanan, K Suzuki, T Kondo, M Kobayashi, H Tanaka, J Ishioka, ... IEEE Access 11, 25702-25712, 2023 | 2 | 2023 |
| Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN S Pavarut, W Preedanan, I Kumazawa, K Suzuki, M Kobayashi, H Tanaka, ... IEEE Access, 2023 | 1 | 2023 |
| Improvement of urinary stone segmentation using GAN-based urinary stones inpainting augmentation W Preedanan, K Suzuki, T Kondo, M Kobayashi, H Tanaka, J Ishioka, ... IEEE Access 10, 115131-115142, 2022 | 1 | 2022 |
| Urinary Stones Segmentation by Cascaded U-Net Pipeline and GAN-based Synthetic Stone Augmentation W PREEDANAN, W Preedanan (No Title), 2023 | | 2023 |
| Texture based classification of malaria parasites from Giemsa-stained thin blood films S Tantisatirapong, W Preedanan ECTI Transactions on Electrical Engineering, Electronics, and Communications …, 2020 | | 2020 |
