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Hey there, I am Dewinda. Welcome to my website!

I am a machine learning scientist and product builder interested in creating fair and trustworthy intelligent systems that help people and organizations solve real-world problems.

Feel free to explore my work and connect with me!

Updates

Apr. 2025:Happy to welcome new interns at UNIVERSA AI Lab!🧐
Mar. 2025:Excited to be invited as a reviewer for MIUA 2025🧐
Feb. 2025:Excited to be invited as a reviewer for MIDL 2025 and MICCAI 2025🧐
Dec. 2024: Passed my PhD oral defense! More about my thesis here: "Brain Disease Classification in MRI Images Using Deep Learning Based on Deep-Stacked Models and Enhanced Feature Representation
Aug. 2024: New preprint available! "Lite FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image.
Jul. 2024:Excited to be invited as a reviewer for FAIMI workshop and EMERGE workshop at MICCAI 2024🧐
May. 2024:I have joined the activity committee for FAIMIπŸ’Ό Looking forward to supporting the community!
Mar. 2024:Excited to be invited as a reviewer for MIDL 2024! 🧐 I’ll be reviewing two papers related to my experience in brain MRI analysis. Learn more about my first reviewing experience here
Oct. 2023:Thrilled to receive the Best Poster Presentation Award for my paper 'How You Split Matters' at MICCAI FAIMI Workshop 2023! πŸ†πŸŽ‰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). Excited to be in Suwon, South Korea for 5 months.
Sep. 2022: I have received a grant from the Directorate General of Higher Education and Research Technology, Indonesia 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.

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