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personal data approved: 2024. II. 25.
Personal data
András Horváth
name András Horváth
name of institution
doctoral school
PPKE Roska Tamás Doctoral School of Sciences and Technology (Supervisor)
the share of work in the different doctoral schools. PPKE Roska Tamás Doctoral School of Sciences and Technology 100%
accreditation statement submitted to: Pázmány Péter Catholic University, Budapest
Contact details
phone number +36 1 886-4700
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2012
discipline to which degree belongs multidisciplinary enginiering
institution granting the degree Multidisciplinary Doctoral School of Sciences and Technology
Employment
2012 - Pázmány Péter Catholic University, Budapest
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 0
number of students who fulfilled course requirements 0
students who obtained their degrees:
Jalal Mohammad Alafandi PhD 2023  PPCU-RTDS
(50%) Vivien Csapóné Miczán PhD 2021  PPCU-RTDS

completed course requirement:
(50%) Ákos Kovács (PhD) 2022/01  PPCU-RTDS
(50%) András Fülöp (PhD) 2022/08  PPCU-RTDS
Franciska Sára Rajki (PhD) 2022/01  PPCU-RTDS
present PhD students:
(50%) Péter József Szabó (PhD) (2028/01)  PPCU-RTDS
Zsófia Molnár (PhD) (2027/01)  PPCU-RTDS
Bence Németh (PhD) (2026/01)  PPCU-RTDS
Gergely Szabó (PhD) (2025/01)  PPCU-RTDS
Bálint Magyar (PhD) (2024/08)  PPCU-RTDS
(50%) Dóra Eszter Babicz (PhD) (2024/08)  PPCU-RTDS
  Thesis topic proposals
Research
research area Image processing Cellular Nanoscale Networks and array computing Synchronization in complex networks Spin-torque Nano-oscillators and nano-devices
research field in which current research is conducted computer sciences
Publications
2023

Magyar Bálint, Tokodi Márton, Soós András, Tolvaj Máté, Lakatos Bálint Károly, Fábián Alexandra, Surkova Elena, Merkely Béla, Kovács Attila, Horváth András: RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function, In: Nishino, Ko; Michaeli, Tomer; Karlinsky, Leonid (szerk.) Computer Vision – ECCV 2022 Workshops, Springer-Verlag (2023) pp. 569-583.
type of document: Part of book/Proceedings Paper
language: English
URL 
2022

Kocsis Dorottya, Horváth Szabina, Kemény Ágnes, Varga-Medveczky Zsófia, Pongor Csaba, Molnár Rózsa, Mihály Anna, Farkas Dániel, Naszlady Bese M., Fülöp András, Horváth András, Rózsa Balázs, Pintér Erika, Gyulai Rolland, Erdő Franciska: Drug Delivery through the Psoriatic Epidermal Barrier—A “Skin-On-A-Chip” Permeability Study and Ex Vivo Optical Imaging, INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 23: (8) 4237
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2022

Fülöp András, Horváth András: End-to-End Training of Deep Neural Networks in the Fourier Domain, MATHEMATICS 10: (12) p. 2132.
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2021

Marosan-Vilimszky Peter, Szalai Klara, Horvath Andras, Csabai Domonkos, Fuzesi Krisztian, Csany Gergely, Gyongy Miklos: Automated Skin Lesion Classification on Ultrasound Images, DIAGNOSTICS 11: (7) 1207
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL 
2021

Marosan Peter, Szalai Klara, Csabai Domonkos, Csany Gergely, Horvath Andras, Gyongy Miklos: Automated seeding for ultrasound skin lesion segmentation, ULTRASONICS 110: 106268
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL 
2020

Kuslits Lukács, Lemperger István, Horváth András, Koronczay Dávid, Wesztergom Viktor: Recent progress in identification of the geomagnetic signature of 3D outer core flows, ACTA GEODAETICA ET GEOPHYSICA 55: (3) pp. 347-370.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2020

Makra Ákos, Bost Wolfgang, Kalló Imre, Horváth András, Fournelle Marc, Gyöngy Miklós: Enhancement of Acoustic Microscopy Lateral Resolution: A Comparison Between Deep Learning and Two Deconvolution Methods, IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL 67: (1) pp. 136-145.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2018

Zarandy A, Horvath A, Szolgay P: CNN Technology-Tools and Applications, IEEE CIRCUITS AND SYSTEMS MAGAZINE 18: (2) pp. 77-89.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2018

Hatvani Janka, Horvath Andras, Michetti Jerome, Basarab Adrian, Kouame Denis, Gyongy Miklos: Deep Learning-Based Super-Resolution Applied to Dental Computed Tomography, IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES 3: (2) pp. 120-128.
type of document: Journal paper/Article
number of independent citations: 53
language: English
URL 
2016

Barna L, Dudok B, Miczan V, Horvath A, Laszlo ZI, Katona I: Correlated confocal and super-resolution imaging by VividSTORM, NATURE PROTOCOLS 11: (1) pp. 163-183.
type of document: Journal paper/Article
number of independent citations: 44
language: English
URL 
Number of independent citations to these publications:123 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
61
number of scientific publications:
62
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
179

 
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. )