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Iulian Emil Tampu

Postdoc

I am exploring the possibility of combining multi-domain medical imaging data using deep learning methods for disease diagnosis.

My project

My project as a PhD student is to find new ways of combining and complementing the information from different medical imaging modalities to provide clinicians with useful diagnostic tools. The imaging modalities that I am currently exploring are optical imaging, magnetic resonance imaging (MRI) and digital histopathology. The methods I am using include traditional and deep learning-based image analysis approaches.

About me

Network

  • CMIV research school
  • Analytic Imaging Diagnostics Arena (AIDA)
  • LiU Cancer

Publications

2025

Iulian Emil Tampu, Tamara Bianchessi, Ida Blystad, Peter Lundberg, Per Nyman, Anders Eklund, Neda Haj-Hosseini (2025) Neuro-Oncology Advances, Vol. 7, Article vdae205 (Article in journal)

2024

Christoforos Spyretos, Iulian Emil Tampu, Neda Haj-Hosseini (2024)
Christoforos Spyretos, Iulian Emil Tampu, Nadieh Khalili, Juan Manuel Pardo Ladino, Per Nyman, Ida Blystad, Anders Eklund, Neda Haj-Hosseini (2024) Proceedings of Machine Learning Research, p. 192-202 (Conference paper)
Iulian Emil Tampu (2024)
Iulian Emil Tampu, Tamara Bianchessi, Anders Eklund, Neda Haj-Hosseini (2024)

Research

Coworkers

Organisation