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Georg Langs

Active 1991–2026

233
Papers
20,219
Citations
47
h-index
133
i10-index

Citations

Citations per year for Georg Langs1965: 2 citations1967: 1 citations1976: 2 citations1977: 1 citations1980: 1 citations1986: 1 citations1987: 1 citations1989: 1 citations1990: 1 citations1993: 1 citations1994: 1 citations1995: 1 citations1996: 1 citations1997: 3 citations1998: 2 citations1999: 3 citations2000: 1 citations2001: 2 citations2002: 3 citations2003: 12 citations2004: 6 citations2005: 16 citations2006: 19 citations2007: 31 citations2008: 37 citations2009: 46 citations2010: 49 citations2011: 63 citations2012: 62 citations2013: 78 citations2014: 103 citations2015: 142 citations2016: 185 citations2017: 291 citations2018: 300 citations2019: 627 citations2020: 1,087 citations2021: 1,524 citations2022: 1,580 citations2023: 1,398 citations2024: 1,862 citations2025: 1,180 citations2026: 260 citations1966: no citations, so this year is not shown1968–1975: no citations, so these years are not shown1978–1979: no citations, so these years are not shown1981–1985: no citations, so these years are not shown1988: no citations, so this year is not shown1991–1992: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,637 citing papers, 17.6% of this breakdownChina: 2,519 citing papers, 16.8% of this breakdownUnited Kingdom: 1,103 citing papers, 7.4% of this breakdownGermany: 947 citing papers, 6.3% of this breakdownCanada: 709 citing papers, 4.7% of this breakdownFrance: 551 citing papers, 3.7% of this breakdownItaly: 519 citing papers, 3.5% of this breakdownAustria: 447 citing papers, 3% of this breakdownAustralia: 441 citing papers, 3% of this breakdownSwitzerland: 406 citing papers, 2.7% of this breakdownSouth Korea: 382 citing papers, 2.6% of this breakdownIndia: 366 citing papers, 2.4% of this breakdown
0%17.6%Other 26.3%

Institutions

Fields

  • Medicine35.3%
  • Computer Science34%
  • Neuroscience16.4%
  • Engineering5.8%
  • Biochemistry, Genetics and Molecular Biology3%
  • Psychology1.2%
  • Other4.3%

Topics

  • Anomaly Detection Techniques and Applications6.5%
  • Functional Brain Connectivity Studies5%
  • Radiomics and Machine Learning in Medical Imaging5%
  • COVID-19 diagnosis using AI3.3%
  • AI in cancer detection3.1%
  • Neural dynamics and brain function2.7%
  • Other74.4%

Coauthors

All papers

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  1. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

    Authors: Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs - Lecture notes in computer science, IPMI 2017 cited by 2,382

  2. f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

    Authors: Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth - Medical Image Analysis, Medical Image Anal. 2019 cited by 1,473

  3. Causability and explainability of artificial intelligence in medicine

    Authors: Andreas Holzinger, Georg Langs, Helmut Denk, Kurt Zatloukal, Heimo Müller - Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, WIREs Data Mining Knowl. Discov. 2019 cited by 1,740

  4. Introduction to Radiomics

    Authors: Marius E. Mayerhoefer, Andrzej Materka, Georg Langs, Ida Häggström, Piotr M. Szczypiński, Peter Gibbs, Gary Cook - Journal of Nuclear Medicine 2020 cited by 1,727

  5. Situating the default-mode network along a principal gradient of macroscale cortical organization

    Authors: Daniel S. Margulies, Satrajit Ghosh, Alexandros Goulas, Marcel Falkiewicz, Julia M. Huntenburg, Georg Langs, Gleb Bezgin, Simon B. Eickhoff, F. Xavier Castellanos, Michael Petrides, Elizabeth Jefferies, Jonathan Smallwood - National Academy of Sciences, Proceedings of the National Academy of Sciences 2016 cited by 2,634

  6. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

    Authors: Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, AIX-COVNET, Alessandro Ruggiero, Anna Korhonen, Emily Jefferson, Emmanuel Ako, Georg Langs, Ghassem Gozaliasl, Guang Yang, Helmut Prosch, Jacobus Preller, Jan Stanczuk, Jing Tang, Johannes Hofmanninger, Judith Babar, Lorena Escudero Sánchez, Muhunthan Thillai, Paula Martin Gonzalez, Philip Teare, Xiaoxiang Zhu, Mishal Patel, Conor Cafolla, Hojjat Azadbakht, Joseph Jacob, Josh Lowe, Kang Zhang, Kyle Bradley, Marcel Wassin, Markus Holzer, Kangyu Ji, Maria Delgado Ortet, Tao Ai, Nicholas Walton, Pietro Lio, Samuel Stranks, Tolou Shadbahr, Weizhe Lin, Yunfei Zha, Zhangming Niu, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb - Nature Machine Intelligence, Nat. Mach. Intell. 2020 cited by 937

  7. Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem

    Authors: Johannes Hofmanninger, Florian Prayer, Jeanny Pan, Sebastian Röhrich, Helmut Prosch, Georg Langs - European Radiology Experimental 2020 cited by 594

  8. BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets

    Authors: Reinder Vos de Wael, Oualid Benkarim, Casey Paquola, Sara Larivière, Jessica Royer, Shahin Tavakol, Ting Xu, Seok‐Jun Hong, Georg Langs, Sofie L. Valk, Bratislav Mišić, Michael P. Milham, Daniel S. Margulies, Jonathan Smallwood, Boris C. Bernhardt - Communications Biology 2020 cited by 681

  9. Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning

    Authors: Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunović, Franz Endstraßer, Amir Sadeghipour, Ana-Maria Philip, Dominika Podkowinski, Bianca S. Gerendas, Georg Langs, Ursula Schmidt‐Erfurth - Ophthalmology 2017 cited by 593

  10. Continuous Learning AI in Radiology: Implementation Principles and Early Applications

    Authors: Oleg S. Pianykh, Georg Langs, Marc Dewey, Dieter R. Enzmann, Christian Herold, Stefan O. Schoenberg, James A. Brink - Radiology 2020 cited by 233

  11. Parcellating cortical functional networks in individuals

    Authors: Danhong Wang, Randy L. Buckner, Michael Fox, Daphne J. Holt, Avram J. Holmes, Sophia Stoecklein, Georg Langs, Ruiqi Pan, Tianyi Qian, Kuncheng Li, Justin T. Baker, Steven M. Stufflebeam, Kai Wang, Xiaomin Wang, Bo Hong, Hesheng Liu - Nature Neuroscience 2015 cited by 584

  12. The impact of imputation quality on machine learning classifiers for datasets with missing values

    Authors: Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas, Evis Sala, Píetro Lió, Mishal Patel, Jacobus Preller, Ian Selby, Anna Breger, Jonathan Weir‐McCall, Effrossyni Gkrania‐Klotsas, Anna Korhonen, Emily Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Judith Babar, Lorena Escudero Sánchez, Marcel Wassin, Markus Holzer, Nicholas Walton, Píetro Lió, James H.F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola‐Bibiane Schönlieb - Communications Medicine 2023 cited by 114

  13. Cross-species functional alignment reveals evolutionary hierarchy within the connectome

    Authors: Ting Xu, Karl-Heinz Nenning, Ernst Schwartz, Seok-Jun Hong, Joshua T. Vogelstein, Alexandros Goulas, Damien A. Fair, Charles E. Schroeder, Daniel S. Margulies, Jonny Smallwood, Michael P. Milham, Georg Langs - NeuroImage 2020 cited by 276

  14. Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT

    Authors: Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2019 cited by 170

  15. The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space

    Authors: Johanna Klughammer, Barbara Kiesel, Thomas Roetzer-Pejrimovsky, Nikolaus Fortelny, Amelie Nemc, Karl‐Heinz Nenning, Julia Furtner, Nathan C. Sheffield, Paul Datlinger, Nadine Peter, Martha Nowosielski, Marco Augustin, Mario Mischkulnig, Thomas Ströbel, Donát Alpár, Bekir Ergüner, Martin Senekowitsch, Patrizia Moser, Christian F. Freyschlag, Johannes Kerschbaumer, Claudius Thomé, Astrid Grams, Günther Stockhammer, Melitta Kitzwoegerer, Stefan Oberndorfer, Franz Marhold, Serge Weis, Johannes Trenkler, Johanna Buchroithner, Josef Pichler, Johannes Haybaeck, Stefanie Krassnig, Kariem Mahdy Ali, Gord von Campe, Franz Payer, Camillo Sherif, Julius Preiser, Thomas Hauser, Peter Winkler, Waltraud Kleindienst, Franz Würtz, Tanisa Brandner-Kokalj, Martin Stultschnig, Stefan Schweiger, Karin Dieckmann, Matthias Preusser, Georg Langs, Bernhard Baumann, Engelbert Knosp, Georg Widhalm, Christine Marosi, Johannes A. Hainfellner, Adelheid Wöehrer, Christoph Bock - Nature Medicine 2018 cited by 330

  16. Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging

    Authors: Matthias Perkonigg, Johannes Hofmanninger, Christian Herold, James A. Brink, Oleg S. Pianykh, Helmut Prosch, Georg Langs - Nature Communications 2021 cited by 93

  17. Fetal brain tissue annotation and segmentation challenge results

    Authors: Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab - Medical Image Analysis, Medical Image Anal. 2023 cited by 59

  18. The Digital Brain Tumour Atlas, an open histopathology resource

    Authors: Thomas Roetzer-Pejrimovsky, Anna‐Christina Moser, Baran Atli, C Vogel, Petra A. Mercea, Romana Prihoda, Ellen Gelpí, Christine Haberler, Romana Höftberger, Johannes A. Hainfellner, Bernhard Baumann, Georg Langs, Adelheid Wöehrer - Scientific Data 2022 cited by 62

  19. Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach

    Authors: Hrvoje Bogunović, Sebastian M. Waldstein, Thomas Schlegl, Georg Langs, Amir Sadeghipour, Xuhui Liu, Bianca S. Gerendas, Aaron Osborne, Ursula Schmidt‐Erfurth - Investigative Ophthalmology & Visual Science 2017 cited by 185

  20. The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification

    Authors: Amirreza Mahbod, Philipp Tschandl, Georg Langs, Rupert Ecker, Isabella Ellinger - Computer Methods and Programs in Biomedicine, Comput. Methods Programs Biomed. 2020 cited by 106

  21. Performing group-level functional image analyses based on homologous functional regions mapped in individuals

    Authors: Meiling Li, Danhong Wang, Jianxun Ren, Georg Langs, Sophia Stoecklein, Brian P. Brennan, Jie Lu, Huafu Chen, Hesheng Liu - PLoS Biology 2019 cited by 127

  22. Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion

    Authors: Georg Langs, Polina Golland, Satrajit S. Ghosh - Lecture notes in computer science, MICCAI (2) 2015 cited by 132

  23. Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data

    Authors: Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, Rene Donner, Ursula Schmidt-Erfurth, Georg Langs - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2018 cited by 101

  24. Current and Future Perspectives on Computed Tomography Screening for Lung Cancer: A Roadmap From 2023 to 2027 From the International Association for the Study of Lung Cancer

    Authors: Stephen Lam, Chunxue Bai, David R. Baldwin, Yan Chen, Casey Connolly, Harry J. de Koning, Marjolein A. Heuvelmans, Ping Hu, Ella A. Kazerooni, Harriet L Lancaster, Georg Langs, Annette McWilliams, Raymond U. Osarogiagbon, Matthijs Oudkerk, Matthew Peters, Hilary A. Robbins, Liora Sahar, Robert A. Smith, Natthaya Triphuridet, John K. Field - Journal of Thoracic Oncology 2023 cited by 66