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personal data approved: 2020. XI. 20.
Personal data
Balázs Benyó
name Balázs Benyó
name of institution
doctoral school
BME Doctoral School of Informatics (Supervisor)
the share of work in the different doctoral schools. BME Doctoral School of Informatics 42%
BME Doctoral School of Electrical Engineering 58%
accreditation statement submitted to: Budapest University of Technology and Economics
Contact details
E-mail address bbenyoiit.bme.hu
phone number +36 1 463-1416
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 1998
discipline to which degree belongs computer sciences
institution granting the degree Budapesti Műszaki és Gazdaságtudományi Egyetem (to be translated)
scientific degree, title CSc
year degree was obtained 1998
discipline to which degree belongs computer sciences
institution granting the degree HAS
scientific degree, title Habilitation
year degree was obtained 2013
discipline to which degree belongs computer sciences
institution granting the degree Budapest University of Technology and Economics
Employment
1992 - Budapest University of Technology and Economics
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 6.5
number of students who fulfilled course requirements 5.5
students who obtained their degrees:
Ákos József Szlávecz PhD 2015  DSI-BME
(50%) Dickson Jennifer PhD 2015  
Péter Somogyi PhD 2010  DSEE

completed course requirement:
Gábor Hesz (PhD) 2013/08  DSI-BME
József Homlok (PhD) 2013/08  DSEE
Bálint Sódor (PhD) 2011/08  DSI-BME
present PhD students:
Yahia Anane (PhD) (2021/08)  DSI-BME
  Thesis topic proposals
Research
research area model-based therapeutics and diagnostics in medicine; medical imaging and image processing; safety critical software and hardware systems; mobile and contactless technologies
research field in which current research is conducted computer sciences
electrical engineering
Publications
2019

Szlávecz Á, Hesz G, Benyó B: The use of multi-energy photon emitters in 3D SPECT reconstruction, BIOMEDICAL SIGNAL PROCESSING AND CONTROL 47: pp. 413-423.
type of document: Journal paper/Article
language: English
URL 
2019

Chase J. Geoffrey, Benyo Balazs, Desaive Thomas: Glycemic control in the intensive care unit: A control systems perspective, ANNUAL REVIEWS IN CONTROL 48: pp. 359-368.
type of document: Journal paper/Review paper
number of independent citations: 1
language: English
URL 
2018

Chase J Geoffrey, Preiser Jean-Charles, Dickson Jennifer L, Pironet Antoine, Chiew Yeong Shiong, Pretty Christopher G, Shaw Geoffrey M, Benyo Balazs, Moeller Knut, Safaei Soroush, Tawhai Merryn, Hunter Peter, Desaive Thomas: Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them, BIOMEDICAL ENGINEERING ONLINE 17: (1) 24
type of document: Journal paper/Article
number of independent citations: 8
language: English
URL 
2018

Dickson J L, Stewart K W, Pretty C G, Flechet M, Desaive T, Penning S, Lambermont B C, Benyo B, Shaw G M, Chase G: Generalisability of a Virtual Trials Method for Glycaemic Control in Intensive Care, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 65: (7) pp. 1543-1553.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2016

Stewart KW, Pretty CG, Tomlinson H, Thomas FL, Homlok J, Noemi SN, Illyes A, Shaw GM, Benyo B, Chase JG: Safety, efficacy and clinical generalization of the STAR protocol: a retrospective analysis., ANNALS OF INTENSIVE CARE 6: (1) 24
type of document: Journal paper/Article
number of independent citations: 17
language: English
URL 
2014

Ákos Szlávecz, Yeong Shiong Chiew, Daniel Redmond, Alex Beatson, Daniel Glassenbury, Simon Corbett, Vincent Major, Christopher Pretty, Geoffrey M Shaw, Balázs Benyó, Thomas Desaive, J Geoffrey Chase: The Clinical Utilisation of Respiratory Elastance Software (CURE Soft): a bedside software for real-time respiratory mechanics monitoring and mechanical ventilation management, BIOMEDICAL ENGINEERING ONLINE 13: 140
type of document: Journal paper/Article
number of independent citations: 17
language: English
URL 
2013

T Ferenci, B Benyó, L Kovács, L Fisk, G M Shaw, G J Chase: Daily Evolution of Insulin Sensitivity Variability with Respect to Diagnosis in the Critically Ill, PLOS ONE 8: (2) e57119
type of document: Journal paper/Article
number of independent citations: 8
language: English
URL 
2011

Kovács L, Benyó B, Bokor J, Benyó Z: Induced L2-norm minimization of glucose-insulin system for Type I diabetic patients, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 102: (2) pp. 105-118.
type of document: Journal paper/Article
number of independent citations: 43
language: English
URL 
2011

Szilágyi László, Szilágyi Sándor M, Benyó Balázs, Benyó Zoltán: Intensity inhomogeneity compensation and segmentation of MR brain images using hybrid c-means clustering models, BIOMEDICAL SIGNAL PROCESSING AND CONTROL 6: (1) pp. 3-12.
type of document: Journal paper/Article
number of independent citations: 23
language: English
URL 
2002

P Várady, B Benyó, Z Benyó: An Open Architecture Patient Monitoring System Using Standard Technologies, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE 1: (6) pp. 95-98.
type of document: Journal paper/Article
number of independent citations: 99
language: English
URL 
Number of independent citations to these publications:219 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
341
number of scientific publications:
348
monographs and professional books:
1
monographs/books in which chapters/sections were contributed:
6 
scientific publications published abroad that meet the accreditation criteria:
234
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
66
number of independent citations to scientific publications and creative works:
784

 
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. )