Tamás Balassa

HUN-REN Szegedi Biológiai Kutatóközpont — Hungary

Biochemistry, Genetics and Molecular Biology · Life Sciences

14h-index927citations22works8.32yr avg
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Research Topics

Cell Image Analysis Techniques(16), Single-cell and spatial transcriptomics(8), Image Processing Techniques and Applications(8), Heat shock proteins research(3), Neuroscience and Neuropharmacology Research(2)

Publications22 total

Spatial single-cell atlas reveals regional variations in healthy and diseased human lung
Nature Communications·2025· 2 citedOpen Access
Probe set selection for targeted spatial transcriptomics
Nature Methods·2024· 23 citedOpen Access
A topographic lung cell atlas reveals regional variation in cell-type specific gene programs and identifies healthy and diseased cellular neighborhoods
2024Open Access
Probe set selection for targeted spatial transcriptomics
2022· 24 citedOpen Access
Cell identification and phenotyping using classical machine learning and deep learning
2022Open Access
Regression plane concept for analysing continuous cellular processes with machine learning
Nature Communications·2021· 17 citedOpen Access
Automatic deep learning-driven label-free image-guided patch clamp system
Nature Communications·2021· 51 citedOpen Access
Neuroinflammatory processes are augmented in mice overexpressing human heat-shock protein B1 following ethanol-induced brain injury
Journal of Neuroinflammation·2021· 29 citedOpen Access
Regression plane concept: analysing continuous cellular processes with machine learning
2020· 2 citedOpen Access
Automatic deep learning driven label-free image guided patch clamp system for human and rodent in vitro slice physiology
2020· 3 citedOpen Access
nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer
Cell Systems·2020· 270 citedOpen Access
Software tools for 3D nuclei segmentation and quantitative analysis in multicellular aggregates
Computational and Structural Biotechnology Journal·2020· 45 citedOpen Access
A deep learning framework for nucleus segmentation using image style transfer
2019· 49 citedOpen Access
A deep convolutional neural network approach for astrocyte detection
Scientific Reports·2018· 66 citedOpen Access
Environmental properties of cells improve machine learning-based phenotype recognition accuracy
Scientific Reports·2018· 20 citedOpen Access
Phenotypic Image Analysis Software Tools for Exploring and Understanding Big Image Data from Cell-Based Assays
Cell Systems·2018· 92 citedOpen Access
Hsp70-associated chaperones have a critical role in buffering protein production costs
eLife·2018· 53 citedOpen Access
Intelligent image-based in situ single-cell isolation
Nature Communications·2018· 93 citedOpen Access
A deep convolutional neural network approach for astrocyte detection
2017Open Access
Author response: Hsp70-associated chaperones have a critical role in buffering protein production costs
2017Open Access
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Frequent Co-authors

Péter Horváth(14), Csaba Molnár(11), Ferenc Kovács(7), Ábel Szkalisity(6), Lassi Paavolainen(6), Tímea Tóth(5), Ervin Tasnádi(5), Ede Migh(5), Krisztián Koós(5), Kevin Smith(5), Filippo Piccinini(5), József Molnár(4), Norbert Bara(4), András Kriston(4), Alexandra B. Firsova(4), Alexandros Sountoulidis(4), Christos Samakovlis(4), Fabian J. Theis(4), Péter Horváth(4), Árpád Bálind(3)