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Gábor Székely

Gábor Székely

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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
18126
World Ranking
3756
National Ranking
84

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2000 - Fellow of the American Statistical Association (ASA)

Overview

Gábor Székely is affiliated with ETH Zurich in Switzerland. Their research encompasses multiple areas within medicine, with a particular focus on carcinogens and genotoxicity assessment, DNA repair mechanisms, and statistical distribution estimation and applications. The subfields related to their work include statistics and probability, cancer research, radiology, nuclear medicine and imaging, molecular biology, and pulmonary and respiratory medicine.

Székely has contributed to both theoretical and applied research, as reflected in their recent publications. Selected papers include:

  • On relationships between the Pearson and the distance correlation coefficients, 2020, published in Statistics & Probability Letters
  • On energy tests of normality, 2020, published in Journal of Statistical Planning and Inference
  • Smoking, chromosomal aberrations, and cancer incidence in healthy subjects, 2021, published in Mutation Research/Genetic Toxicology and Environmental Mutagenesis
  • Rényi 100, Quantitative and qualitative (in)dependence, 2021, published in Acta Mathematica Academiae Scientiarum Hungaricae
  • Chromosomal breakage tests in the differential diagnosis of Fanconi anemia and aplastic anemia, 2023, published in European Journal Of Haematology

Frequent coauthors in Székely's collaborative work include Tamás F. Móri, Gyöngyi Farkas, Zsuzsa S. Kocsis, Zsolt Jurányi, and Csaba Polgár. Their frequent publication venues reveal a mixture of applied medical journals and statistical research platforms. Some of the main venues they have published in are Mutation Research/Genetic Toxicology and Environmental Mutagenesis, arXiv (Cornell University), Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae Sectio computatorica, Statistics & Probability Letters, and Journal of Statistical Planning and Inference.

The topics addressed in Székely's work feature a blend of statistical methodologies and medical applications. These include:

  • Carcinogens and Genotoxicity Assessment
  • DNA Repair Mechanisms
  • Statistical Distribution Estimation and Applications
  • Acute Lymphoblastic Leukemia research
  • Advanced Radiotherapy Techniques
  • Radiation Therapy and Dosimetry
  • Random Matrices and Applications

Recognition in Székely's career includes being named a Fellow of the American Statistical Association (ASA) in 2000. This accolade is associated with contributions to the field of statistics.

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

    Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer

  • Parametric estimate of intensity inhomogeneities applied to MRI

    M. Styner;C. Brechbuhler;G. Szckely;G. Gerig

  • Elastic model-based segmentation of 3-D neuroradiological data sets

    A. Kelemen;G. Szekely;G. Gerig

  • Multiscale detection of curvilinear structures in 2-D and 3-D image data

    T.M. Koller;G. Gerig;G. Szekely;D. Dettwiler

  • 4D MR imaging of respiratory organ motion and its variability

    M von Siebenthal;G Székely;U Gamper;P Boesiger

  • A mean three-dimensional atlas of the human thalamus: generation from multiple histological data.

    Axel Krauth;Remi Blanc;Alejandra Poveda;Daniel Jeanmonod

  • Evaluation of 3D correspondence methods for model building.

    Martin A. Styner;Kumar T. Rajamani;Lutz-Peter Nolte;Gabriel Zsemlye

  • Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models

    Gábor Székely;András Kelemen;Christian Brechbühler;Guido Gerig

  • Isotropic Total Variation Regularization of Displacements in Parametric Image Registration.

    Valeriy Vishnevskiy;Tobias Gass;Gábor Székely;Christine Tanner

  • Identification of Spring Parameters for Deformable Object Simulation

    B.A. Lloyd;G. Szekely;M. Harders

  • Amygdala–hippocampal shape differences in schizophrenia: the application of 3D shape models to volumetric MR data

    Martha Elizabeth Shenton;Guido Gerig;Robert William McCarley;Gábor Székely

  • Virtual reality in medicine

    Gábor Székely;Richard M Satava

  • Non-rigid registration of multi-modal images using both mutual information and cross-correlation.

    A. Andronache;M. von Siebenthal;G. Székely;Ph. Cattin

  • Multiscale Medial Loci and Their Properties

    Stephen M. Pizer;Kaleem Siddiqi;Gabor Székely;James N. Damon

  • Modelling of soft tissue deformation for laparoscopic surgery simulation.

    Gábor Székely;Christian Brechbühler;R. Hutter;Alex Rhomberg

  • Symbolic Description of 3-D Structures Applied to Cerebral Vessel Tree Obtained from MR Angiography Volume Data

    Guido Gerig;Thomas Koller;Gábor Székely;Christian Brechbühler

  • Topology and hemodynamics of the cortical cerebrovascular system.

    Sven Hirsch;Johannes Reichold;Matthias Schneider;Gábor Székely

  • Simultaneous Topology and Stiffness Identification for Mass-Spring Models Based on FEM Reference Deformations

    Gérald Bianchi;Barbara Solenthaler;Gábor Székely;Matthias Harders

  • Ziplock Snakes

    Walter M. Neuenschwander;Pascal Fua;Lee Iverson;Gábor Székely

  • Systematic errors in respiratory gating due to intrafraction deformations of the liver.

    Martin von Siebenthal;Gábor Székely;Antony J. Lomax;Philippe C. Cattin

  • Total Variation Regularization of Displacements in Parametric Image Registration

    Valeriy Vishnevskiy;Tobias Gass;Gábor Székely;Orcun Goksel

Frequent Co-Authors

Philippe C. Cattin
Philippe C. Cattin University of Basel
Guido Gerig
Guido Gerig New York University
Bjoern H. Menze
Bjoern H. Menze University of Zurich
Bruno Weber
Bruno Weber University of Zurich
Nico Karssemeijer
Nico Karssemeijer Radboud University
Nobuhiko Hata
Nobuhiko Hata Brigham and Women's Hospital
Mauricio Reyes
Mauricio Reyes University of Bern
Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
Ernst Martin
Ernst Martin University of Zurich

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