- 'Artificial Intelligence in the Future Landscape of Pediatric Neuroradiology: Opportunities and Challenges', published in American Journal of Neuroradiology
- 'Multimodal Learning for Improving Performance and Explainability', published in MICCAI Workshop Proceedings
- 'Weakly Supervised Segmentation for Brain Tumors in MRI', published in MICCAI Workshop Proceedings
- 'MRI-based Molecular Diagnosis of Pediatric Brain Tumor', published in European Radiology
Research Experience
Work Experience: Principal Investigator at IMICS Lab; Research Projects: Investigating and developing advanced AI algorithms to revolutionize precision medicine through the integration of diverse healthcare data using medical imaging modalities such as MRI and CT, radiology reports, and clinical informatics.
Background
Research Interests: Application of AI algorithms in precision medicine; Professional Field: Medical imaging, clinical informatics; Bio: Focused on developing and validating advanced AI models for early diagnosis, risk stratification, and treatment response assessment.
Miscellany
Personal Interests: Developing human-centered and compassionate AI tools, emphasizing explainability and transparency.