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Iulian Emil Tampu

PhD student

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

2023

Christoforos Spyretos, Iulian Emil Tampu, Anders Eklund, Neda Haj-Hosseini (2023) Classification of Brain Tumour Tissue in Histopathology Images Using Deep Learning
Iulian Emil Tampu, Neda Haj-Hosseini, Ida Blystad, Anders Eklund (2023) Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images Machine Learning: Science and Technology, Vol. 4, Article 035038 Continue to DOI
Iulian Emil Tampu, Anders Eklund, Kenth Johansson, Oliver Gimm, Neda Haj-Hosseini (2023) Diseased thyroid tissue classification in OCT images using deep learning: towards surgical decision support Journal of Biophotonics, Vol. 16, Article e202200227 Continue to DOI

2022

Iulian Emil Tampu, Anders Eklund, Neda Haj-Hosseini (2022) Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images Scientific Data, Vol. 9, Article 580 Continue to DOI
Tamara Bianchessi, Iulian Emil Tampu, Anders Eklund, Neda Haj-Hosseini (2022) Classification of pediatric brain tumors based on MR-images using deep learning

Research

Image: Anders Brun, Hae-Jeong Park, Hans Knutsson och Carl-Fredrik Westin

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

Photo of Neda Haj Hosseini

Neda Haj Hosseini

Associate Professor, Docent

Photo of Anders Eklund

Anders Eklund

Senior Associate Professor

Photo of Evren Özarslan

Evren Özarslan

Senior Associate Professor

Organisation

Institutionen för medicinsk teknik

Department of Biomedical Engineering (IMT)

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

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.

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