Iulian Emil Tampu

Principal Research Engineer

I am exploring the possibility of combining multi-domain imaging data of tissue to extract microstructural features useful 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 and magnetic resonance imaging (MRI). The tools I am using to analyze the data include standard and machine learning approaches.

About me

Network

I am part of the AIDA network

Publications

2025

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) Pediatric brain tumor classification using digital pathology and deep learning: Evaluation of SOTA methods on a multi-center Swedish cohort Brain Pathology, Article e70029 (Article in journal)

Continue to DOI

Iulian Emil Tampu, Tamara Bianchessi, Ida Blystad, Peter Lundberg, Per Nyman, Anders Eklund, Neda Haj-Hosseini (2025) Pediatric brain tumor classification using deep learning on MR-images with age fusion Neuro-Oncology Advances, Vol. 7, Article vdae205 (Article in journal)

Continue to DOI

2024

Christoforos Spyretos, Iulian Emil Tampu, Neda Haj-Hosseini (2024) Weakly supervised slide-level analysis of pediatric brain tumor histology images

Christoforos Spyretos, Iulian Emil Tampu, Nadieh Khalili, Juan Manuel Pardo Ladino, Per Nyman, Ida Blystad, Anders Eklund, Neda Haj-Hosseini (2024) Early fusion of H&E and IHC histology images for pediatric brain tumor classification Proceedings of Machine Learning Research, p. 192-202 (Conference paper)

Iulian Emil Tampu (2024) Deep learning for medical image analysis in cancer diagnosis

Research

Biomedical Image Science

We develop methods & techniques for depicting anatomy & function in the human body & its organs. From imaging techniques, through methods of analysis and quantification of image information, to validation of new methods and image-based biomarkers.

Coworkers

Neda Haj Hosseini

Associate Professor, Docent

Anders Eklund

Senior Associate Professor

Evren Özarslan

Senior Associate Professor

Organisation

Department of Biomedical Engineering (IMT)

A national centre for research, PhD studies and graduate studies within biomedical engineering, since 1972.

A monitor displaying health data for a patient.

Division of Biomedical Engineering (MT)

A national centre for research, education and innovation within the field of biomedical engineering.