Wongsakorn Preedanan

Tokyo Institute of Technology — Japan

Computer Science · Physical Sciences

6h-index93citations8works0.02yr avg
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Research Topics

Advanced Neural Network Applications(3), Image and Video Quality Assessment(2), Advanced Image Fusion Techniques(2), Advanced X-ray and CT Imaging(2), Digital Imaging for Blood Diseases(2)

Publications8 total

Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach
IEEE Access·2023· 12 citedOpen Access
Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN
IEEE Access·2023· 13 citedOpen Access
Improvement of Urinary Stone Segmentation Using GAN-Based Urinary Stones Inpainting Augmentation
IEEE Access·2022· 19 citedOpen Access
Urinary Stones Segmentation in Abdominal X-Ray Images Based on U-Net Deep Learning Model and Data Augmentation Techniques
2020· 10 cited
Texture Based Classification of Malaria Parasites from Giemsa-Stained Thin Blood Films
ECTI Transactions on Electrical Engineering Electronics and Communications·2020· 1 citedOpen Access
Image quality assessment for medical images based on gradient information
2018 5th International Conference on Business and Industrial Research (ICBIR)·2018· 2 cited
A comparative study of image quality assessment
2018 International Workshop on Advanced Image Technology (IWAIT)·2018· 22 cited
Automated detection of plasmodium falciparum from Giemsa-stained thin blood films
2016· 14 cited

Frequent Co-authors

Itsuo Kumazawa(6), Toshiaki Kondo(5), Kenji Suzuki(3), Masaki Kobayashi(3), Yoh Matsuoka(3), Junichiro Ishioka(3), Pished Bunnun(2), Hajime Tanaka(2), Yasuhisa Fujii(2), Suchada Tantisatirapong(2), Junichiro Ishioka(1), Montri Phothisonothai(1), Wongwit Senavongse(1), Srisopitsawat Pavarut(1), Hajime Tanaka(1), Yasuhisa Fuji(1)