Georg Langs

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	Hepsi	2017 yılından bugüne
Alıntılar	9507	7538
h-endeksi	43	35
i10-endeksi	131	95

2600

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650

1950

20052006200720082009201020112012201320142015201620172018201920202021202227 23 60 88 123 135 162 168 230 214 288 342 568 712 1038 1640 2551 994

Genel erişim

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90 makale

19 makale

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genel erişime açık olmayanlar

Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Sebastian M. WaldsteinOphthalmology, Medical University of Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
René DonnerCTO contextflowcontextflow.com üzerinde doğrulanmış e-posta adresine sahip
Thomas SchleglMedical University of Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Horst BischofGraz University of Technologyicg.tugraz.at üzerinde doğrulanmış e-posta adresine sahip
Henning MüllerProfessor in computer science at HES-SO & in radiology at the University of Genevahevs.ch üzerinde doğrulanmış e-posta adresine sahip
Ernst SchwartzMedical University Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Bjoern H MenzeUniversität Zürich, TU Münchenuzh.ch üzerinde doğrulanmış e-posta adresine sahip
Daniela PrayerProf of Radiology, Medical University Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Franz KainbergerMedical University of Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Philipp SeeböckMedical University of Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Johannes HofmanningerResearch Associate, Medical University of Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Allan HanburyProfessor at the TU Wienifs.tuwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Karl-Heinz NenningNathan Kline Institute, Medizinische Universität Wiennki.rfmh.org üzerinde doğrulanmış e-posta adresine sahip
Markus HolzerResearch Associatemeduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Helmut ProschMedical University of Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
András JakabResearch group leader, University of Zürich and University Children's Hospital Zürichkispi.uzh.ch üzerinde doğrulanmış e-posta adresine sahip
Hrvoje BogunovićMedical University of Vienna, Austriameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Nikos ParagiosDistinguished professor, CentraleSupélec, Université Paris-Saclayecp.fr üzerinde doğrulanmış e-posta adresine sahip
Wolf-Dieter VoglRetInSight GmbHretinsight.com üzerinde doğrulanmış e-posta adresine sahip
Oscar Jimenez-del-ToroIdiap Research Instituteidiap.ch üzerinde doğrulanmış e-posta adresine sahip

Takip et

Georg Langs

Medical University of Vienna, CIR Lab

meduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Machine Learning in NeuroImaging Functional Connectivity


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
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	1457	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	874	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	511	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	445	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	330	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	305	2018
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	227	2006
Introduction to radiomics ME Mayerhoefer, A Materka, G Langs, I Häggström, P Szczypiński, ... Journal of Nuclear Medicine 61 (4), 488-495, 2020	197	2020
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	173	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	164	2018
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	151	2016
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	137	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	123	2015
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	116	2013
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	111	2017
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	107	2020
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	105	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	99	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	99	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	85	2016

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