Items where Author is "Balassa, Tamás"

Kuemmerle, Louis B. and Luecken, Malte D. and Firsova, Alexandra B. and Barros de Andrade e Sousa, Lisa and Strasser, Lena and Mekki, Ilhem Isra and Campi, Francesco and Heumos, Lukas and Shulman, Maiia and Beliaeva, Valentina and Hediyeh-Zadeh, Soroor and Schaar, Anna C. and Mahbubani, Krishnaa T. and Sountoulidis, Alexandros and Balassa, Tamás and Kovacs, Ferenc and Horváth, Péter and Piraud, Marie and Erturk, Ali and Samakovlis, Christos and Theis, Fabian J. (2024) Probe set selection for targeted spatial transcriptomics. NATURE METHODS, 21 (12). pp. 2260-2270. ISSN 1548-7091

Koós, Krisztián and Oláh, Gáspár and Balassa, Tamás and Mihut, Norbert and Rózsa, Márton and Ozsvár, Attila and Tasnádi, Ervin A and Barzó, Pál and Faragó, Nóra and Puskás, László and Molnár, Gábor and Molnár, József and Tamás, Gábor and Horváth, Péter (2021) Automatic deep learning-driven label-free image-guided patch clamp system. NATURE COMMUNICATIONS, 12 (1). ISSN 2041-1723

Dukay, Brigitta and Walter, Fruzsina R. and Vigh, Judit P. and Barabási, Beáta and Hajdu, Petra and Balassa, Tamás and Migh, Ede and Kincses, András and Hoyk, Zsófia and Szögi, Titanilla and Borbély, Emőke and Csoboz, Bálint and Horváth, Péter and Fülöp, Lívia and Penke, Botond and Vigh, László and Deli, Mária A. and Sántha, Miklós and Tóth, Melinda E. (2021) Neuroinflammatory processes are augmented in mice overexpressing human heat-shock protein B1 following ethanol-induced brain injury. JOURNAL OF NEUROINFLAMMATION, 18. pp. 1-24. ISSN 1742-2094

Szkalisity, Ábel and Piccinini, Filippo and Beleon, Attila and Balassa, Tamás and Varga, Gergely István and Migh, Ede and Molnár, Csaba and Andó, István and Honti, Viktor and Horváth, Péter (2021) Regression plane concept for analysing continuous cellular processes with machine learning. NATURE COMMUNICATIONS, 12 (1). ISSN 2041-1723

Piccinini, Filippo and Balassa, Tamás and Carbonaro, Antonella and Diósdi, Ákos and Tóth, Tímea and Moshkov, Nikita and Tasnádi, Ervin A. and Horváth, Péter (2020) Software tools for 3D nuclei segmentation and quantitative analysis in multicellular aggregates. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 18. pp. 1287-1300. ISSN 2001-0370

Hollandi, Réka and Szkalisity, Ábel and Tóth, Tímea and Tasnádi, Ervin and Molnár, Csaba and Máthé, Botond and Grexa, István and Molnár, József and Bálind, Árpád and Görbe, Máté and Kovács, Mária and Migh, Ede and Balassa, Tamás and Koós, Krisztián and Bara, Norbert and Kovács, Ferenc and Danka, Tivadar and Kriston, András and Horváth, Péter (2020) nucleAIzer: A Parameter-Free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer. CELL SYSTEMS, 10 (5). pp. 453-458. ISSN 2405-4720

Tóth, Tímea and Balassa, Tamás and Bara, Norbert and Kovács, Ferenc and Kriston, András and Molnár, Csaba and Haracska, Lajos and Sükösd, Farkas and Horváth, Péter (2018) Environmental properties of cells improve machine learning-based phenotype recognition accuracy. SCIENTIFIC REPORTS, 8 (1). ISSN 2045-2322

Smith, Kevin and Piccinini, Filippo and Balassa, Tamás and Koós, Krisztián and Danka, Tivadar and Horváth, Péter and Azizpour, Hossein (2018) Phenotypic Image Analysis Software Tools for Exploring and Understanding Big Image Data from Cell-Based Assays. CELL SYSTEMS, 6 (6). pp. 636-653. ISSN 2405-4712

Piccinini, Filippo and Balassa, Tamás and Szkalisity, Ábel and Molnár, Csaba and Paavolainen, Lassi and Buzás, Krisztina and Horváth, Péter (2017) Advanced Cell Classifier: User-Friendly Machine-Learning-Based Software for Discovering Phenotypes in High-Content Imaging Data. CELL SYSTEMS, 4 (6). pp. 651-655. ISSN 2405-4712