Akos Diosdi
University of Szeged
15 Papers
6 Citations
Akos Diosdi is an academic researcher from University of Szeged. The author has contributed to research in topics: CUDA & Computer science. The author has an hindex of 3, co-authored 9 publications. Previous affiliations of Akos Diosdi include Hungarian Academy of Sciences & MTA Biological Research Centre.
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Papers
MISpheroID: a knowledgebase and transparency tool for minimum information in spheroid identity
Arne Peirsman,Arne Peirsman,Eva Blondeel,Tasdiq Ahmed,Jasper Anckaert,Dominique Audenaert,Tom Boterberg,Krisztina Buzas,Neil O. Carragher,Gastone Castellani,Flávia Castro,Virginie Dangles-Marie,Virginie Dangles-Marie,John Dawson,Pascal De Tullio,Elly De Vlieghere,Sándor Dedeyne,Herman Depypere,Akos Diosdi,Ruslan I. Dmitriev,Helmut Dolznig,Suzanne Fischer,Christian Gespach,Vera Goossens,Jyrki Heino,An Hendrix,Peter Horvath,Leoni A. Kunz-Schughart,Sebastiaan Maes,Christophe Mangodt,Pieter Mestdagh,Soňa Michlíková,Maria José Oliveira,Francesco Pampaloni,Filippo Piccinini,Cláudio Pinheiro,Jennifer J. Rahn,Stephen M. Robbins,Elina Siljamäki,Patrick Steigemann,Gwen Sys,Shuichi Takayama,Anna Tesei,Joeri Tulkens,Michiel Van Waeyenberge,Jo Vandesompele,Glenn Wagemans,Claudia Weindorfer,Nurten Yigit,Nina Zablowsky,Michele Zanoni,Phillip Blondeel,Olivier De Wever +52 more
TL;DR: The MISpheroID Consortium as discussed by the authors developed a crowdsourcing knowledgebase that assembles the experimental parameters of 3,058 published spheroid-related experiments to facilitate interpretation, stimulate transparency and increase awareness.
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AnnotatorJ: an ImageJ plugin to ease hand annotation of cellular compartments
TL;DR: AnnotatorJ is proposed, an ImageJ plugin for the semiautomatic annotation of cells (or generally, objects of interest) on microscopy images in 2D that helps find the true contour of individual objects by applying U-Net–based presegmentation.
Software tools for 3D nuclei segmentation and quantitative analysis in multicellular aggregates.
Filippo Piccinini,Tamas Balassa,Antonella Carbonaro,Akos Diosdi,Akos Diosdi,Tímea Tóth,Tímea Tóth,Nikita Moshkov,Nikita Moshkov,Nikita Moshkov,Ervin Tasnadi,Ervin Tasnadi,Peter Horvath,Peter Horvath +13 more
TL;DR: In this paper, the authors describe the freely accessible tools that are currently available for biologists and researchers interested in analyzing the effects of drugs/treatments on 3D multicellular -oids at a single-cell resolution level.
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SpheroidPicker for automated 3D cell culture manipulation using deep learning.
Istvan Grexa,Istvan Grexa,Akos Diosdi,Akos Diosdi,Maria Harmati,Andras Kriston,Nikita Moshkov,Nikita Moshkov,Nikita Moshkov,Krisztina Buzas,Krisztina Buzas,Vilja Pietiäinen,Krisztian Koos,Peter Horvath,Peter Horvath +14 more
TL;DR: In this paper, an artificial intelligence-guided low-cost 3D cell culture delivery system was proposed, which consists of a light microscope, a micromanipulator, a syringe pump, and a controller computer.
3D-Cell-Annotator: an open-source active surface tool for single cell segmentation in 3D microscopy images
Ervin Tasnadi,Tímea Tóth,Maria Kovacs,Akos Diosdi,Francesco Pampaloni,Jozsef Molnar,Filippo Piccinini,Peter Horvath,Peter Horvath +8 more
TL;DR: 3D-Cell-Annotator is proposed to solve the task of segmentation of single cells in microscopy images using 3D active surfaces together with shape descriptors as prior information in a fully- and semi-automated fashion.
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