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Neda Haj Hosseini

Associate Professor, Docent

I am an associate professor in biomedical engineering at the Department of Biomedical Engineering (IMT). My research focus is on innovative multimodal engineering solutions for cancer diagnosis and treatment.

Beating Cancer: Innovative Engineering Solutions for Cancer and Oncology Diagnostics and Treatment

The burden of cancer can be reduced by prevention, early detection and appropriate treatment with innovative technologies playing a major role in the procedures. Most of the techniques, however, require trained clinical specialists for interpretation and diagnosis that can be an obstacle for implementation on a large scale. The ongoing artificial intelligence (AI) revolution has tackled previously unsolvable analytic tasks and enabled automatic data interpretation that could address this challenge.
Our research focuses on implementing optical imaging, radiology and molecular information in combination with AI to improve an early and accurate cancer diagnosis.

Publications

Press

Joanna Cocozzas stiftelse 2022

About me

Fields of Teaching 

Networks

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

Neda Haj-Hosseini, Hanna Jonasson, Magnus Stridsman, Lars Carlsson (2024) Education and Information Technologies (Article in journal)
Neda Haj-Hosseini, Joakim Lindblad, Bengt Hasséus, Vinay Vijaya Kumar, Narayana Subramaniam, Jan-Michaél Hirsch (2024) Journal of Maxillofacial and Oral Surgery, Vol. 23, p. 23-32 (Article, review/survey)
Iulian Emil Tampu, Per Nyman, Christoforos Spyretos, Ida Blystad, Alia Shamikh, Gabriela Prochazka, Teresita Díaz de Ståhl, Johanna Sandgren, Peter Lundberg, Neda Haj-Hosseini (2024)

2023

Iulian Emil Tampu, Anders Eklund, Kenth Johansson, Oliver Gimm, Neda Haj-Hosseini (2023) Journal of Biophotonics, Vol. 16, Article e202200227 (Article in journal)
Iulian Emil Tampu, Neda Haj-Hosseini, Ida Blystad, Anders Eklund (2023) Machine Learning: Science and Technology, Vol. 4, Article 035038 (Article in journal)
Peter Milos, Neda Haj-Hosseini, Jan Hillman, Karin Wårdell (2023) Acta Neurochirurgica, Vol. 165, p. 71-81 (Article in journal)

2022

Iulian Emil Tampu, Anders Eklund, Neda Haj-Hosseini (2022) Scientific Data, Vol. 9, Article 580 (Article in journal)

2021

Johan Richter, Neda Haj-Hosseini, Peter Milos, Martin Hallbeck, Karin Wårdell (2021) Operative Neurosurgery, Vol. 21, p. 217-224 (Article in journal)
Jan-Michael Hirsch, Neda Haj-Hosseini, Carina Krüger Weiner, Bengt Hasséus, Joakim Lindblad (2021) Tandläkartidningen, Vol. 9, p. 48-55 (Article, review/survey)
Iulian Emil Tampu, Neda Haj-Hosseini, Anders Eklund (2021) Diagnostics, Vol. 11, Article 1159 (Article in journal)

2020

Iulian Emil Tampu, Michaela Maintz, Daniela Koller, Kenth Johansson, Oliver Gimm, Arrigo Capitanio, Anders Eklund, Neda Haj-Hosseini (2020) Biomedical Optics Express, Vol. 11, p. 4130-4149, Article 394296 (Article in journal)

Recent bachelor's and master's theses

  • Padro Ladino, Juan Manuel, "", (2024).
  • Spyretos, Christoforos, "", (2023).
  • Qiqi, Kristos, "", (2023).
  • Rama Fannoun, "Gene expression and histology association for brain tumor diagnosis", (2023).
  • Chatzitheodoridou, Eleftheria. "", (2022).
  • Bianchessi, Tamara. "", (2022).
  • Wang, Yuexuan. "Patch-based segmentation of glioma histopathology images using deep learning and evaluation of model generalisation", (2021).
  • Kampouraki, Vasileia. "", (2021).
  • Hrabovszki, Dávid. "", (2021).

Research

Biomedical optics.

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.
Simulation of brain

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
An image of a brain in 3D. The brain is transparent except for a part that is purple.

Novel Technologies for Brain Tumor Diagnostics

This project proposes, a combination of MR images with optical measurements correlated to multidimensional histology images that gives a unique insight into tumor tissue microscopic structure.
Photo of a microscope and two close ups of tissue.

Optical Coherence Tomography (OCT)

In this project, OCT’s potentials for intra-operative and postoperative (laboratory) pathology diagnostics are investigated.
Picture of three test tubes with green liquid in them. The liquid becomes more and more transparent, from left to right.

VIS/NIR fluorescence for surgical guidance

Fluorophores are widely used biomarkers in biology and medicine. In these projects the optical spectroscopy and imaging systems are evaluated for fluorescence guided surgery.

Supervisor for

iulta54

Iulian Emil Tampu

Postdoc

chrsp39

Christoforos Spyretos

PhD student

Organisation

Computer simulation of a person

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.

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