Timea Toth

发表

Show me your neighbour and I tell what you are: fisheye transformation for deep learning-based single-cell phenotyping

P. Horváth, F. Sukosd, David Bauer, 2022, bioRxiv.

Silver nanoparticles defeat p53-positive and p53-negative osteosarcoma cells by triggering mitochondrial stress and apoptosis

I. Boros, Z. Kónya, D. Madarász, 2016, Scientific Reports.

Silver nanoparticles modulate ABC transporter activity and enhance chemotherapy in multidrug resistant cancer.

I. Boros, J. Molnár, G. Spengler, 2016, Nanomedicine : nanotechnology, biology, and medicine.

A deep learning framework for nucleus segmentation using image style transfer

Lassi Paavolainen, Ferenc Kovács, Kevin Smith, 2019, bioRxiv.

Software tools for 3D nuclei segmentation and quantitative analysis in multicellular aggregates

Antonella Carbonaro, Filippo Piccinini, Tamas Balassa, 2020, Computational and structural biotechnology journal.

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

Lassi Paavolainen, Ferenc Kovács, Anne E Carpenter, 2020, Cell systems.

Environmental properties of cells improve machine learning-based phenotype recognition accuracy

Peter Horvath, Tamas Balassa, Timea Toth, 2018, Scientific Reports.

The Gln1233ter mutation of the myosin binding protein C gene: causative mutation or innocent polymorphism in patients with hypertrophic cardiomyopathy?

R. Faludi, T. Símor, R. Sepp, 2011, International journal of cardiology.

3D-Cell-Annotator: an open-source active surface tool for single-cell segmentation in 3D microscopy images

Peter Horvath, Filippo Piccinini, Akos Diosdi, 2020, Bioinformatics.

3D-Cell-Annotator: an open-source active surface tool for single cell segmentation in 3D microscopy images

Jozsef Molnar, Peter Horvath, Filippo Piccinini, 2019, bioRxiv.

Show me your neighbours, and I’ll tell you what you are – cellular microenvironment matters

Tamas Balassa, Timea Toth, Csaba Molnar, 2017, bioRxiv.

Fisheye transformation enhances deep-learning-based single-cell phenotyping by including cellular microenvironment

P. Horváth, F. Sukosd, David Bauer, 2022, Cell reports methods.

Cell lines and clearing approaches: a single-cell level 3D light-sheet fluorescence microscopy dataset of multicellular spheroids

F. Piccinini, P. Horváth, K. Buzas, 2021, Data in brief.

A quantitative metric for the comparative evaluation of optical clearing protocols for 3D multicellular spheroids

F. Piccinini, P. Horváth, K. Buzas, 2021, Computational and structural biotechnology journal.