Christoforos Spyretos

Short facts about me

Chairman of CMIV Research School

Publications

2026

Christoforos Spyretos, Juan Manuel Pardo Ladino, Hakon Blomstrand, Per Nyman, Oscar Snödahl, Alia Shamikh, Nils Elander, Neda Haj-Hosseini (2026)

Quantification of Ki-67 labeling index in pediatric brain tumor immunohistochemistry images Journal of Neuropathology and Experimental Neurology (Article in journal)

https://dx.doi.org/10.1093/jnen/nlaf163

Iulian Emil Tampu, Per Nyman, Christoforos Spyretos, Ida Blystad, Alia Shamikh, Gabriela Prochazka, Teresita Díaz de Ståhl, Johanna Sandgren, Peter Lundberg, Neda Haj-Hosseini (2026)

Pediatric brain tumor classification using digital pathology and deep learning: Evaluation of SOTA methods on a multi-center Swedish cohort Brain Pathology, Vol. 36, Article e70029 (Article in journal)

https://dx.doi.org/10.1111/bpa.70029

2025

Christoforos Spyretos, Juan Manuel Pardo Ladino, Hakon Blomstrand, Per Nyman, Oscar Snödahl, Alia Shamikh, Nils Elander, Neda Haj-Hosseini (2025)

Automatic Quantification of Ki-67 Labeling Index in Pediatric Brain Tumors Using Qupath (Manuscript (preprint))

https://dx.doi.org/10.1101/2025.05.09.25327292

2024

Christoforos Spyretos, Iulian Emil Tampu, Neda Haj-Hosseini (2024)

Weakly supervised slide-level analysis of pediatric brain tumor histology images (Conference paper)

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)

Research

CMIV Research School

The CMIV Research School offers a unique doctoral program designed for PhD students from both medical and technical backgrounds. At the heart of the program is close interdisciplinary collaboration, bridging the gap between healthcare and technology.

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.

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.

Co-workers

Neda Haj Hosseini

Associate Professor, Docent

Iulian Emil Tampu

Principal Research Engineer

Anders Eklund

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 division for research, education and innovation within the field of biomedical engineering.