Fakrul Islam Tushar
PhD in AI & Medical Imaging @Duke-ECE,CVIT| Medical Imaging, Synthetic Data & In Silico Trials| MAIa Graduate
fitushar.mi@gmail.com|USA
I am Fakrul Islam Tushar, PhD, a researcher in AI-driven medical imaging, trained at Duke University’s Department of Electrical & Computer Engineering and the Center for Virtual Imaging Trials (CVIT). My research focuses on AI-driven multimodal medical imaging and digital twin technologies, aiming to advance personalized healthcare.
I hold an Erasmus+ Master’s degree in Medical Imaging (MaIA), having studied across Spain, Italy, and France, and have contributed to impactful research at Duke’s RAI Labs. I completed my B.Sc. in Electrical Engineering from AIUB, graduating Cum Laude and receiving the Dean’s Award.
My research has been supported by Erasmus+ and Duke University grants and recognized with multiple honors, including the Best Poster Award (Virtual Imaging Trials in Medicine 2024) and a Travel Award from the SPIE Medical Imaging Conference 2024. Beyond academics, I have been actively involved with organizations like IEEE, Teach For Bangladesh, and Literacy Through Leadership.
Open Source and Outreach Activities
I openly share most of the code developed during my research on GitHub. Explore my repository and additional resources below:
- HAID - Health AI Data Resource
- Nodule-Oriented Medical AI for Synthetic Imaging: NodMAISI
- Point-driven nodule segmentation: PiNS
- Virtual Lungs Screening Trials: VLST
- Context-Aware Nodule Augmentation: CaNA
- Duke Lung Nodule Dataset 2024: Zenodo
- AI in Lung Health Benchmark: GitHub
- In Silico Case-study: ReviCOVID