Homepage
Greetings, I am Dewinda. Welcome on my homepage!
I am currently working remotely as an AI Research Engineer at a European-based startup. I hold a PhD from Institut Teknologi Sepuluh Nopember, Indonesia, where my research focused on the intersection of machine learning and healthcare, particularly in medical image analysis.
More recently, my work has expanded to include generative AI (GenAI) and large language models (LLMs).
Feel free to explore my work and connect with me!
Updates
| 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 FAIMI💼 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! 🏆🎉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. |