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Greetings, I am Dewinda, and I am delighted to have you on my webpage!
I am a Doctoral candidate in Computer Science. My research is centered around the application of Deep Learning for medical imaging.
Here, you can find a combination of personal and professional details about me.
Updates
| Oct. 2023: | Thrilled to receive the Best Poster Presentation Award for my paper 'How You Split Matters' at MICCAI FAIMI Workshop 2023! 🏆🎉Check out the winning poster here |
| Aug. 2023: | My work "How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis" has been accepted for publication at MICCAI FAIMI 2023 workshop. Congratulations! |
| April. 2023: | Our work "Deep-Stacked Convolutional Neural Networks for Brain Abnormalities Classification Based on MRI Images" has been accepted for publication at Journal of Digital Imaging (Springer). Congratulations! |
| Nov. 2022: | I have started a research visit in the Bio-Imaging Laboratory at Kyung Hee University, South Korea (supervised by Prof. Tae-Seong Kim). |
| Sep. 2022: | I have received a grant from the Ministry of Education, Culture, Research, and Technology Indonesia in the program of Enhancing International Publication/PKPI as part of my PMDSU scholarship to conduct a research abroad |
| Aug. 2022: | Our work "The Effect of Noisy and Blurry Data on Deep Learning: Application in Brain Image Classification" has been accepted for publication at IEEE Region 10 Conference (TENCON) 2022 |