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personal data approved: 2020. I. 23.
Personal data
Péter Horváth
name Péter Horváth
name of institution
doctoral school
ELTE Doctoral School of Informatics (Supervisor)
SzTE Doctoral School of Interdisciplinary Medicine (Supervisor)
SzTE Doctoral School of Biology (Supervisor)
SzTE Doctoral School of Computer Science (Supervisor)
the share of work in the different doctoral schools. ELTE Doctoral School of Informatics 50%
SzTE Doctoral School of Biology 25%
SzTE Doctoral School of Computer Science 25%
Contact details
phone number +36 62 599-696
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2008
discipline to which degree belongs mathematics and computing
institution granting the degree University of Szeged
Employment
2014 - MTA Szegedi Biologiai Kutatokozpont (research institute, not university)
research professor
2014 - University of Helsinki, Institute for Molecular Medicine, Finland (research institute, not university)
research professor
Thesis topic supervisor
number of doctoral students supervised until now 2.5
number of students who fulfilled course requirements 0.5
students who obtained their degrees:
(50%) Piccinini Filippo PhD 2012  

completed course requirement, without degree or degree granting in process:
Krisztián Koós (PhD) 2017/08  IDI2-SzTE
present PhD students:
Dominik Hirling (PhD) (2024/01)  IDI2-SzTE
Ákos Diósdi (PhD) (2023/08)  USz-DSB
István Grexa (PhD) (2023/08)  IDS-SzTE
Nikita Moshkov (PhD) (2022/01)  IDS-SzTE
Áron Ervin Tasnádi (PhD) (2021/08)  IDI2-SzTE
Tímea Tóth (PhD) (2021/08)  USz-DSB
(50%) Csaba Molnár (PhD) (2021/01)  IDI2-SzTE
Tamás Balassa (PhD) (2020/08)  IDI2-ELTE
  Thesis topic proposals
Research
research area Bioimage informatics
research field in which current research is conducted biology
mathematics and computing
Publications
2020

Imre Norbert, Hetényi Anasztázia, Szabó Enikő, Bodnár Brigitta, Szkalisity Abel, Gróf Ilona, Bocsik Alexandra, Deli Mária A., Horvath Peter, Czibula Ágnes, Monostori Éva, Martinek Tamás A.: Routing Nanomolar Protein Cargoes to Lipid Raft‐Mediated/Caveolar Endocytosis through a Ganglioside GM1‐Specific Recognition Tag, ADVANCED SCIENCE AiP: p. 1902621.
type of document: Journal paper/Article
language: English
URL 
2019

Dobos Orsolya, Horvath Peter, Nagy Ferenc, Danka Tivadar, Viczián András: A deep learning-based approach for high-throughput hypocotyl phenotyping., PLANT PHYSIOLOGY 181: (4) pp. 1415-1424.
type of document: Journal paper/Article
language: English
URL 
2019

Bao Jie, Walliander Margarita, Kovacs Ferenc, Nagaraj Ashwini S., Hemmes Annabrita, Sarhadi Virinder Kaur, Knuutila Sakari, Lundin Johan, Horvath Peter, Verschuren Emmy W.: Spa-RQ: an Image Analysis Tool to Visualise and Quantify Spatial Phenotypes Applied to Non-Small Cell Lung Cancer, SCIENTIFIC REPORTS 9: 17613
type of document: Journal paper/Article
language: English
URL 
2018

Brasko C, Smith K, Molnar C, Farago N, Hegedus L, Balind A, Balassa T, Szkalisity A, Sukosd F, Kocsis K, Balint B, Paavolainen L, Enyedi MZ, Nagy I, Puskas LG, Haracska L, Tamas G, Horvath P: Intelligent image-based in situ single-cell isolation, NATURE COMMUNICATIONS 9: (1) 226
type of document: Journal paper/Article
number of independent citations: 16
language: English
URL 
2018

Farkas Z, Kalapis D, Bodi Z, Szamecz B, Daraba A, Almasi K, Kovacs K, Boross G, Pal F, Horvath P, Balassa T, Molnar C, Pettko-Szandtner A, Klement E, Rutkai E, Szvetnik A, Papp B, Pal C: Hsp70-associated chaperones have a critical role in buffering protein production costs., ELIFE 7: e29845
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2018

Natan E, Endoh T, Haim-Vilmovsky L, Flock T, Chalancon G, Hopper JTS, Kintses B, Horvath P, Daruka L, Fekete G, Pal C, Papp B, Oszi E, Magyar Z, Marsh JA, Elcock AH, Babu MM, Robinson CV, Sugimoto N, Teichmann SA: Cotranslational protein assembly imposes evolutionary constraints on homomeric proteins., NATURE STRUCTURAL & MOLECULAR BIOLOGY 25: (3) pp. 279-288.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2018

Smith Kevin, Piccinini Filippo, Balassa Tamas, Koos Krisztian, Danka Tivadar, Azizpour Hossein, Horvath Peter: Phenotypic Image Analysis Software Tools for Exploring and Understanding Big Image Data from Cell-Based Assays, CELL SYSTEMS 6: (6) pp. 636-653.
type of document: Journal paper/Review paper
language: English
URL 
2017

Piccinini F, Balassa T, Szkalisity A, Molnar C, Paavolainen L, Kujala K, Buzas K, Sarazova M, Pietiainen V, Kutay U, Smith K, Horvath P: Advanced Cell Classifier: User-Friendly Machine-Learning-Based Software for Discovering Phenotypes in High-Content Imaging Data, CELL SYSTEMS 4: (6) pp. 651-655.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2016

Koos K, Molnar J, Kelemen L, Tamas G, Horvath P: DIC image reconstruction using an energy minimization framework to visualize optical path length distribution., SCIENTIFIC REPORTS 6: 30420
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2015

Smith K, Li YP, Piccinini F, Csucs G, Balazs C, Bevilacqua A, Horvath P: CIDRE: an illumination-correction method for optical microscopy, NATURE METHODS 12: (5) pp. 404-406.
type of document: Journal paper/Article
number of independent citations: 24
language: English
URL 
Number of independent citations to these publications:56 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
70
number of scientific publications:
70
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
number of independent citations to scientific publications and creative works:
1253

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )