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) 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

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

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

Biomedical Optics

Biomedical Optics studies the basic principles of interaction between light and biological tissues, cells and molecules and develops new technologies for use in basic research and clinical applications.

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.

Two scientists are sitting infront of an MRI

Center for Medical Image Science and Visualization (CMIV)

CMIV conducts focused front-line research providing solutions to tomorrow’s clinical issues. The CMIV mission is to develop future methods and tools for image analysis and visualization for applications within health care and medical research.