ONCOhabitats Glioma Segmentation Model. - Javier Juan-Albarracín; Elies Fuster-García; María del Mar Álvarez-Torres; Eduard Chelebian; Juan M. García-Gómez (BrainLes@MICCAI (1), 2019)

Seeded iterative clustering for histology region identification. - Eduard Chelebian; Francesco Ciompi; Carolina Wählby (CoRR, 2022)

Self-Supervised Learning for Genetically Relevant Domain Identification in Morphological Images. - Eduard Chelebian; Christophe Avenel; Carolina Wählby (ISBI, 2024)

Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics. - Eduard Chelebian; Christophe Avenel; Julio León; Chung-Chau Hon; Carolina Wählby (MIDL, 2024)

What makes for good morphology representations for spatial omics? - Eduard Chelebian; Christophe Avenel; Carolina Wählby (CoRR, 2024)

Representation Learning for Computational Pathology and Spatial Omics. - Eduard Chelebian (2024)

DEPICTER: Deep representation clustering for histology annotation. - Eduard Chelebian; Christophe Avenel; Francesco Ciompi; Carolina Wählby (Comput. Biol. Medicine, 2024)

TileDVP: Decoding the Tissue Proteome from H&E Images. - Émilie Mathian; Lukas Oldenburg; Eduard Chelebian; Lisa Schweizer; Gijs Zonderland; Kristian Egebjerg; Ishani Ummat; Andreas Mund; Maximillian T. Strauss (CLIP@MICCAI, 2025)

Segmentation-free integration of nuclei morphology and spatial transcriptomics for retinal images. - Eduard Chelebian; Pratiti Dasgupta; Zainalabedin Samadi; Carolina Wählby; Amjad Askary (CoRR, 2025)