Christoforos Spyretos

Short facts about me

Chairman of CMIV Research School

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)

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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

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)

Christoforos Spyretos, Iulian Emil Tampu, Juan Manuel Pardo Ladino, Neda Haj-Hosseini (2024) Comparison of state-of-the-art models for slide-level pediatric brain tumor histology classification

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 är ett tvärvetenskapligt forskningscentrum vid LiU, etablerat i samarbete med Region Östergötland och Sectra. Vårt uppdrag är att forma framtidens hälso- och sjukvård genom banbrytande forskning inom medicinsk bildanalys och visualisering.