福利姬

Photo of Iulian Emil Tampu

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)
Iulian Emil Tampu, Per Nyman, Christoforos Spyretos, Ida Blystad, Alia Shamikh, Gabriela Prochazka, Teresita Díaz de Ståhl, Johanna Sandgren, Peter Lundberg, Neda Haj-Hosseini (2025) Brain Pathology, Article e70029 (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)

Research

Coworkers

Organisation