Georg Langs

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	Hepsi	2020 yılından bugüne
Alıntılar	19266	14769
h-endeksi	51	38
i10-endeksi	175	114

3900

1950

975

2925

200720082009201020112012201320142015201620172018201920202021202220232024202560 92 129 133 175 173 247 222 292 351 574 720 1079 1646 2415 2839 3255 3811 776

Genel erişim

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119 makale

18 makale

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Sebastian M. WaldsteinOphthalmology, Landesklinikum Mistelbach-Gänserndorfmeduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Gregor KasprianMedical University of Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Thomas SchleglMedical University of Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
René Donnermva.ai // contextflowmva.ai üzerinde doğrulanmış e-posta adresine sahip
Ernst SchwartzMedical University Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Horst BischofGraz University of Technologyicg.tugraz.at üzerinde doğrulanmış e-posta adresine sahip
Karl-Heinz NenningNathan Kline Institute, Medizinische Universität Wiennki.rfmh.org üzerinde doğrulanmış e-posta adresine sahip
Bjoern MenzeUniversität Zürichuzh.ch 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
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
Helmut ProschMedical University of Viennameduniwien.ac.at 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 Vienna, Radiologymeduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Allan HanburyTU Wien, Complexity Science Hub Viennatuwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Daniel S. MarguliesCentre national de la recherche scientifique (CNRS)cnrs.fr üzerinde doğrulanmış e-posta adresine sahip
Hrvoje BogunovićMedical University of Vienna, Austriameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Marc-André WeberProfessor der Radiologie, Universitätsmedizin Rostockmed.uni-rostock.de üzerinde doğrulanmış e-posta adresine sahip
Markus HolzerResearch Associatemeduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Polina GollandMassachusetts Institute of Technologymit.edu 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
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	3923	2019
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	1914	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	1615	2019
Introduction to radiomics ME Mayerhoefer, A Materka, G Langs, I Häggström, P Szczypiński, ... Journal of Nuclear Medicine 61 (4), 488-495, 2020	1349	2020
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	580	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	520	2020
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	513	2015
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), 103, 2020	459	2020
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	297	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	236	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	218	2011
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	217	2018
Continuous learning AI in radiology: implementation principles and early applications OS Pianykh, G Langs, M Dewey, DR Enzmann, CJ Herold, ... Radiology 297 (1), 6-14, 2020	215	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	209	2016
Cross-species functional alignment reveals evolutionary hierarchy within the connectome T Xu, KH Nenning, E Schwartz, SJ Hong, JT Vogelstein, A Goulas, ... NeuroImage, 117346, 2020	194	2020
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	186	2017
Exploiting epistemic uncertainty of anatomy segmentation for anomaly detection in retinal OCT P Seeböck, JI Orlando, T Schlegl, SM Waldstein, H Bogunović, ... IEEE transactions on medical imaging 39 (1), 87-98, 2019	176	2019
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	169	2015
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	154	2014
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	136	2013

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