Research Projects
My research focuses on developing transferable Deep Learning models to improve accuracy and efficiency of medical image diagnosis. Specifically, I aim to address important questions in the field such as: how to create better generalized and robust models, how to address limited data, class imbalance, and variance, how to increase interpretability of models, and what types of medical image data and preprocessing techniques are best suited for these models.
Below is a summary of the research projects on which I have been working on:
List of Research Projects
| Project Name | Year | Description |
|---|---|---|
| iDerm4U | 2019 | Description of the item in the list |
| iBrain2U | 2020 | Description of the item in the list |
| Sicosa | 2020 | Description of the item in the list |
Students (Supervising)
- Fajar Azka (ITS) - Stroke Lession Segmentation (Master Thesis)
- Arnold Sidiprasetija (ITS) - Transfer Learning Application for 3D Medical Imaging (Bachelor Thesis)
- I Made N. Pinton (ITS) - 3D Brain MR Image classification for Alzheimer’s Disease (Bachelor Thesis)
- Alif Aditya (ITS) - Multiclass Segmentation on 3D MRI data for Brain Tumor (Bachelor Thesis)
- Yordan Yasin- Open Set Recognition in Skin Classification (Bachelor Thesis)