Publications

Related Publications (from team members):

• Mahbod A, Polak C, Feldmann K, Khan R, Gelles K, Dorffner G, Woitek R, Hatamikia S, Ellinger I, NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images, Nature Scientific Data, 2024 (Link)

• Mahbod A, Dorffner G, Ellinger I, Woitek R, Hatamikia S, Improving generalization capability of deep learning-based nuclei instance segmentation by non-deterministic train time and deterministic test time stain normalization, Computational and Structural Biotechnology Journal, 2024 (Link)

• Mahbod A, Schaefer G, Dorffner G, Hatamikia S, Ecker R, Ellinger I, A dual decoder U-Net-based model for nuclei instance segmentation in hematoxylin and eosin-stained histological images, Frontiers in Medicine, 2022 (Link)

• Meshcheryakova A, Mungenast F, Ecker R, Mechtcheriakova D, Tissue image cytometry. Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 1, 2021 (Link) (Full text is available upon request to DM) 

• Mungenast F, Meshcheryakova A, Beer A., Salzmann M, Tamandl D, Gruenberger T, Pietschmann P, Koperek O, Birner P, Kirsch I, Robins H, Mittlboeck M, Jaritz M, Bergmann M, Zimmermann P, Mechtcheriakova D, The Immune Phenotype of Isolated Lymphoid Structures in Non-Tumorous Colon Mucosa Encrypts the Information on Pathobiology of Metastatic Colorectal Cancer,  Cancers, 2020 (Link)

• Meshcheryakova A, Tamandl D, Bajna E, Stift J, Mittlboeck M, Svoboda M, Heiden D, Stremitzer S, Erika Jensen-Jarolim E, Grünberger T, Bergmann M, Mechtcheriakova D, B cells and ectopic follicular structures: novel players in anti-tumor programming with prognostic power for patients with metastatic colorectal cancer. PLoS One, 2014  (Link)

Project Publications:

• TBA