My current research interests include:

  • Representation and weakly supervised learning in digital pathology.
  • Spatial transcriptomics, morphology sn/scRNA integration.
  • Developement of bioinformatics and visualization tools.

Prior to my PhD, I have also worked with deep learning and radiogenomics applied to MRI glioblastoma images.


Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics
E. Chelebian, C. Avenel, J. Leon, C.C. Hon, C. Wählby.
C7th Medical Imaging with Deep Learning (MIDL 2024). July, 2024.

Self-supervised learning for genetically relevant domain identification
E. Chelebian, C. Avenel, C. Wählby.
21st IEEE International Symposium on Biomedical Imaging (ISBI 2024). May, 2024.

DEPICTER: Deep representation clustering for histology annotation
E. Chelebian, C. Avenel, F. Ciompi, C. Wählby.
Computers in Biology and Medicine, doi: 10.1016/j.compbiomed.2024.108026. January, 2024.


TissUUmaps 3: Improvements in Interactive Visualization, Exploration and Quality Assessment of Large-Scale Spatial Omics Data
N. Pielawski, A. Andersson, C. Avenel, A. Behanova, E. Chelebian, A. Klemm, F. Nysjö, L. Solorzano, C. Wählby.
Heliyon, doi: 10.1016/j.heliyon.2023.e15306. April, 2023.

Visualization and quality control tools for large-scale multiplex tissue analysis in TissUUmaps3 A. Behanova, C. Avenel, A. Andersson, E. Chelebian, A. Klemm, L. Wik, A. östman, C. Wählby.
Biological Imaging, doi: 10.1017/S2633903X2300005. February, 2023.


Seeded iterative clustering for histology region identification
E. Chelebian, F. Ciompi, C. Wählby.
Learning Meaningful Representations of Life, NeurIPS 2022, doi: 10.48550/arXiv.2211.07425. November, 2022.


Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer
E. Chelebian, C. Avenel, K. Kartasalo, M. Marklund, A. Tanoglidi, T. Mirtti, R. Colling, A. Erickson, A.D. Lamb, J. Lundeberg, C. Wählby.
Cancers, doi: 10.3390/cancers13194837. September, 2021.

Differential effect of vascularity between long- and short-term survivors with IDH1/2 wild-type glioblastoma
M.M. Álvarez-Torres, E. Fuster-García, G. Reynés, J. Juan-Albarracín, E. Chelebian, L. Oleaga, J. Pineda, C. Auger, A. Rovira, K.E. Emblem, S. Filice, E. Mollà-Olmos, J.M. García-Gómez.
NRM in Biomedicine, doi: 10.1002/nbm.4462. January, 2021.


Higher vascularity at infiltrated peripheral edema differentiates proneural glioblastoma subtype
E. Chelebian, E. Fuster-Garcia, M.M. Álvarez-Torres, J. Juan-Albarracín, J.M. García-Gómez.
PLoS ONE, doi: 10.1371/journal.pone.0232500. October, 2020.

MGMT methylation may benefit overall survival in patients with moderately vascularized glioblastomas
E. Fuster-Garcia, D. Lorente Estellés, M.M. Álvarez-Torres, J. Juan-Albarracín, E. Chelebian, A. Rovira, C. Auger-Acosta, J. Pineda, L. Oleaga, E. Mollá-Olmos, S. Filice, P. Due-Tønnessen, T.R. Meling, K.E. Emblem, J.M. García-Gómez.
European radiology, doi: 10.1007/s00330-020-07297-4. October, 2020.


Robust association between vascular habitats and patient prognosis in glioblastoma: An international multicenter study
M.M. Álvarez‐Torres, J. Juan‐Albarracín, E. Fuster‐Garcia, F. Bellvís‐Bataller, D. Lorente, G. Reynés, J. Font-de-Mora, F. Aparici‐Robles, C. Botella, J. Muñoz‐Langa, R. Faubel, S. Asensio‐Cuesta, G. A García‐Ferrando, E. Chelebian, C. Auger, J. Pineda, A. Rovira, L. Oleaga, E. Mollà‐Olmos, A.J. Revert, L. Tshibanda, G. Crisi, K.E. Emblem, D. Martin, P. Due‐Tønnessen, T.R. Meling, S. Filice, C. Sáez, J.M. García‐Gómez.
Journal of Magnetic Resonance Imaging, doi: 10.1002/jmri.26958. October, 2019.

ONCOhabitats Glioma Segmentation Model
J. Juan-Albarracín, E. Fuster-Garcia, M.M. Álvarez-Torres, E. Chelebian, J.M. García-Gómez.
International MICCAI Brainlesion Workshop, doi: 10.1007/978-3-030-46640-4_28. October, 2019.