Georg Langs

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Sebastian M. WaldsteinOphthalmology, Medical University of ViennaDirección de correo verificada de meduniwien.ac.at
René Donnermva.ai // contextflowDirección de correo verificada de mva.ai
Thomas SchleglMedical University of ViennaDirección de correo verificada de meduniwien.ac.at
Horst BischofGraz University of TechnologyDirección de correo verificada de icg.tugraz.at
Ernst SchwartzMedical University ViennaDirección de correo verificada de meduniwien.ac.at
Henning MüllerProfessor in computer science at HES-SO & in radiology at the University of GenevaDirección de correo verificada de hevs.ch
Bjoern H MenzeUniversität Zürich, TU MünchenDirección de correo verificada de uzh.ch
Daniela PrayerProf of Radiology, Medical University ViennaDirección de correo verificada de meduniwien.ac.at
Franz KainbergerMedical University of ViennaDirección de correo verificada de meduniwien.ac.at
Philipp SeeböckMedical University of ViennaDirección de correo verificada de meduniwien.ac.at
Johannes HofmanningerResearch Associate, Medical University of ViennaDirección de correo verificada de meduniwien.ac.at
Allan HanburyProfessor at the TU WienDirección de correo verificada de ifs.tuwien.ac.at
Karl-Heinz NenningNathan Kline Institute, Medizinische Universität WienDirección de correo verificada de nki.rfmh.org
Helmut ProschMedical University of ViennaDirección de correo verificada de meduniwien.ac.at
Markus HolzerResearch AssociateDirección de correo verificada de meduniwien.ac.at
Hrvoje BogunovićMedical University of Vienna, AustriaDirección de correo verificada de meduniwien.ac.at
András JakabResearch group leader, University of Zürich and University Children's Hospital ZürichDirección de correo verificada de kispi.uzh.ch
Marc-André WeberProfessor der Radiologie, Universitätsmedizin RostockDirección de correo verificada de med.uni-rostock.de
Nikos ParagiosDistinguished professor, CentraleSupélec, Université Paris-SaclayDirección de correo verificada de ecp.fr
Wolf-Dieter VoglRetInSight GmbHDirección de correo verificada de retinsight.com

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Georg Langs

Medical University of Vienna, CIR Lab

Dirección de correo verificada de meduniwien.ac.at - Página principal

Machine Learning in NeuroImaging Functional Connectivity


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Unsupervised anomaly detection with generative adversarial networks to guide marker discovery T Schlegl, P Seeböck, SM Waldstein, U Schmidt-Erfurth, G Langs International conference on information processing in medical imaging, 146-157, 2017	1587	2017
Situating the default-mode network along a principal gradient of macroscale cortical organization DS Margulies, SS Ghosh, A Goulas, M Falkiewicz, JM Huntenburg, ... Proceedings of the National Academy of Sciences 113 (44), 12574-12579, 2016	945	2016
Causability and explainability of artificial intelligence in medicine A Holzinger, G Langs, H Denk, K Zatloukal, H Müller Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (4 …, 2019	576	2019
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks T Schlegl, P Seeböck, SM Waldstein, G Langs, U Schmidt-Erfurth Medical image analysis 54, 30-44, 2019	511	2019
Parcellating cortical functional networks in individuals D Wang, RL Buckner, MD Fox, DJ Holt, AJ Holmes, S Stoecklein, G Langs, ... Nature neuroscience 18 (12), 1853-1860, 2015	341	2015
Fully automated detection and quantification of macular fluid in OCT using deep learning T Schlegl, SM Waldstein, H Bogunovic, F Endstraßer, A Sadeghipour, ... Ophthalmology 125 (4), 549-558, 2018	328	2018
Introduction to radiomics ME Mayerhoefer, A Materka, G Langs, I Häggström, P Szczypiński, ... Journal of Nuclear Medicine 61 (4), 488-495, 2020	245	2020
Fast active appearance model search using canonical correlation analysis R Donner, M Reiter, G Langs, P Peloschek, H Bischof Pattern Analysis and Machine Intelligence, IEEE Transactions on 28 (10 …, 2006	229	2006
The prenatal origin of hemispheric asymmetry: an in utero neuroimaging study G Kasprian, G Langs, PC Brugger, M Bittner, M Weber, M Arantes, ... Cerebral cortex 21 (5), 1076-1083, 2011	178	2011
The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space J Klughammer, B Kiesel, T Roetzer, N Fortelny, A Nemc, KH Nenning, ... Nature medicine 24 (10), 1611-1624, 2018	173	2018
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem J Hofmanninger, F Prayer, J Pan, S Röhrich, H Prosch, G Langs European Radiology Experimental 4 (1), 1-13, 2020	157	2020
Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks O Jimenez-del-Toro, H Müller, M Krenn, K Gruenberg, AA Taha, ... IEEE transactions on medical imaging 35 (11), 2459-2475, 2016	155	2016
BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets R Vos de Wael, O Benkarim, C Paquola, S Lariviere, J Royer, S Tavakol, ... Communications biology 3 (1), 1-10, 2020	138	2020
Predicting semantic descriptions from medical images with convolutional neural networks T Schlegl, SM Waldstein, WD Vogl, U Schmidt-Erfurth, G Langs International Conference on Information Processing in Medical Imaging, 437-448, 2015	130	2015
Prediction of anti-VEGF treatment requirements in neovascular AMD using a machine learning approach H Bogunović, SM Waldstein, T Schlegl, G Langs, A Sadeghipour, X Liu, ... Investigative Ophthalmology & Visual Science 58 (7), 3240-3248, 2017	119	2017
Global localization of 3D anatomical structures by pre-filtered Hough Forests and discrete optimization R Donner, BH Menze, H Bischof, G Langs Medical image analysis 17 (8), 1304-1314, 2013	115	2013
Machine learning to analyze the prognostic value of current imaging biomarkers in neovascular age-related macular degeneration U Schmidt-Erfurth, H Bogunovic, A Sadeghipour, T Schlegl, G Langs, ... Ophthalmology Retina 2 (1), 24-30, 2018	114	2018
Fetal functional imaging portrays heterogeneous development of emerging human brain networks A Jakab, E Schwartz, G Kasprian, GM Gruber, D Prayer, V Schöpf, ... Frontiers in human neuroscience 8, 852, 2014	103	2014
VISCERAL: towards large data in medical imaging—challenges and directions G Langs, A Hanbury, B Menze, H Müller MICCAI international workshop on medical content-based retrieval for …, 2012	100	2012
Correlation of 3-dimensionally quantified intraretinal and subretinal fluid with visual acuity in neovascular age-related macular degeneration SM Waldstein, AM Philip, R Leitner, C Simader, G Langs, BS Gerendas, ... JAMA ophthalmology 134 (2), 182-190, 2016	93	2016

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