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personal data approved: 2020. I. 31.
Personal data
László Szilágyi
name László Szilágyi
name of institution
doctoral school
BME Doctoral School of Informatics (Academic staff member)
OE Doctoral School of Applied Informatics and Applied Mathematics (Supervisor)
Contact details
phone number +36 1 463-4027
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2009
discipline to which degree belongs electrical engineering
institution granting the degree Budapest University of Technology and Economics
Employment
2018 - Universitas Budensis
university professor or researcher
2009 - Budapest University of Technology and Economics
egyetemi kutató
Thesis topic supervisor
number of doctoral students supervised until now 0
number of students who fulfilled course requirements 0
students who obtained their degrees:
present PhD students:
(50%) Béla Surányi (PhD) (2024/01)  DSAIAM
(50%) Ágnes Győrfi (PhD) (2022/08)  DSAIAM
(50%) László Nagy (PhD) (2021/08)  DSAIAM
  Thesis topic proposals
Research
research area artificial intelligence, signal and image processing, computer vision, modeling of biological systems, bioinformatics, data mining, fuzzy logic
research field in which current research is conducted computer sciences
electrical engineering
Publications
2019

Lefkovits Szidónia, Szilágyi László, Lefkovits László: Brain Tumor Segmentation and Survival Prediction Using a Cascade of Random Forests, In: van Walsum, Theo; Reyes, Mauricio; Keyvan, Farahani; Kuijf, Hugo; Bakas, Spyridon; Crimi, Alessandro (szerk.) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Springer International Publishing (2019) pp. 334-345.
type of document: Part of book/Proceedings Paper
language: English
URL 
2017

Attila Frigy, Annamária Magdás, Victor-Dan Moga, Ioana Georgiana Coteț, Miklós Kozlovszky, László Szilágyi: Increase of Short-Term Heart Rate Variability Induced by Blood Pressure Measurements during Ambulatory Blood Pressure Monitoring, COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2017: 5235319
type of document: Journal paper/Article
language: English
URL 
2017

Lehotsky Ákos, Szilágyi László, Bánsági Száva, Szerémy Péter, Wéber György, Haidegger Tamás: Towards objective hand hygiene technique assessment: validation of the ultraviolet-dye-based hand-rubbing quality assessment procedure, JOURNAL OF HOSPITAL INFECTION 97: (1) pp. 26-29.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2017

Lefkovits László, Lefkovits Szidónia, Szilágyi László: Brain tumor segmentation with optimized random forest, In: Alessandro, Crimi; Bjoern, H Menze; Oskar, Maier; Mauricio, Reyes; Stefan, Winzeck; Heinz, Handels (szerk.) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Springer International Publishing (2017) pp. 88-99.
type of document: Part of book/Proceedings Paper
number of independent citations: 8
language: English
2016

Szilágyi L, Szilágyi SM: A modified two-stage Markov clustering algorithm for large and sparse networks, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 135: pp. 15-26.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2015

Á Lehotsky, L Szilágyi, T Ferenci, L Kovács, R Pethes, G Wéber, T Haidegger: Quantitative impact of direct, personal feedback on hand hygiene technique, JOURNAL OF HOSPITAL INFECTION 91: (1) pp. 81-84.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL 
2014

Szilágyi László: Lessons to learn from a mistaken optimization, PATTERN RECOGNITION LETTERS 36: (1) pp. 29-35.
type of document: Journal paper/Article
number of independent citations: 11
language: English
URL 
2014

Szilágyi L, Szilágyi SM: Generalization rules for the suppressed fuzzy c-means clustering algorithm, NEUROCOMPUTING 139: pp. 298-309.
type of document: Journal paper/Article
number of independent citations: 14
language: English
URL 
2012

Szilágyi L, Szilágyi S M, Benyó B: Efficient inhomogeneity compensation using fuzzy c-means clustering models, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 108: (1) pp. 80-89.
type of document: Journal paper/Article
number of independent citations: 15
language: English
URL 
2003

Szilágyi László, Benyó Zoltán, Szilágyi Sándor Miklós, Adam Hatem Salem: MR Brain Image Segmentation Using an Enhanced Fuzzy C-Means Algorithm, In: Leder, RS (szerk.) PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4, IEEE (2003) pp. 724-726.
type of document: Part of book/Proceedings Paper
number of independent citations: 350
language: English
URL 
Number of independent citations to these publications:413 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
182
number of scientific publications:
182
monographs and professional books:
3
monographs/books in which chapters/sections were contributed:
20 
number of independent citations to scientific publications and creative works:
721

 
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. )