Georg Langs

19.7k total citations · 7 hit papers
226 papers, 9.6k citations indexed

About

Georg Langs is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Georg Langs has authored 226 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Radiology, Nuclear Medicine and Imaging, 54 papers in Computer Vision and Pattern Recognition and 39 papers in Cognitive Neuroscience. Recurrent topics in Georg Langs's work include Radiomics and Machine Learning in Medical Imaging (32 papers), Functional Brain Connectivity Studies (31 papers) and Medical Image Segmentation Techniques (29 papers). Georg Langs is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (32 papers), Functional Brain Connectivity Studies (31 papers) and Medical Image Segmentation Techniques (29 papers). Georg Langs collaborates with scholars based in Austria, United States and Germany. Georg Langs's co-authors include Ursula Schmidt‐Erfurth, Sebastian M. Waldstein, Thomas Schlegl, Heimo Müller, Kurt Zatloukal, Andreas Holzinger, Helmut Denk, Philipp Seeböck, Ida Häggström and Peter Gibbs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Georg Langs

214 papers receiving 9.4k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2016 1.3k citations Daniel S. Margulies, Georg Langs et al. profile →
Introduction to Radiomics

2020 1.1k citations Georg Langs et al. profile →
Causability and explainability of artificial intelligence in medicine

2019 923 citations Georg Langs et al. profile →
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

2019 845 citations Thomas Schlegl, Sebastian M. Waldstein et al. profile →
Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning

2017 422 citations Thomas Schlegl, Sebastian M. Waldstein et al. profile →
BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets

2020 325 citations Reinder Vos de Wael, Oualid Benkarim et al. Communications Biology profile →
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem

2020 317 citations Johannes Hofmanninger, Helmut Prosch et al. European Radiology Experimental profile →

Peers

Countries citing papers authored by Georg Langs

Since Specialization

Citations

This map shows the geographic impact of Georg Langs's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Georg Langs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Langs more than expected).

Fields of papers citing papers by Georg Langs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georg Langs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Georg Langs. The network helps show where Georg Langs may publish in the future.

Co-authorship network of co-authors of Georg Langs

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Langs. A scholar is included among the top collaborators of Georg Langs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Georg Langs. Georg Langs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg 2026 ·NeuroImage ·(unknown), (unknown), Kelly Payette, (unknown), Roxane Licandro, Georg Langs, (unknown), Jana Hutter, Bjoern Menze, Gregor Kasprian, Meritxell Bach Cuadra, András Jakab	0
2	MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach 2025 ·European Radiology Experimental ·Alexander Herold, (unknown), Lucian Beer, Nina Bastati, Sarah Poetter‐Lang, Michael Weber, Thomas Reiberger, (unknown), Georg Semmler, (unknown), (unknown), (unknown), Michael Trauner, Ahmed Ba‐Ssalamah, Georg Langs	0
3	Correlation between MRI-derived and biopsy-confirmed liver iron concentration in patients with chronic liver disease 2025 ·European Journal of Radiology ·(unknown), Michael Schwarz, Sarah Poetter‐Lang, Nina Bastati, (unknown), Jacqueline C. Hodge, Lucian Beer, (unknown), Albert Friedrich Stättermayer, Michael Trauner, Mattias Mandorfer, Ahmed Ba‐Ssalamah, Georg Langs, Benjamin Henninger, Y. Gandon, (unknown), Lukas Haider, Thomas Reiberger	1
4	A deep autoencoder for fast spectral–temporal fitting of dynamic deuterium metabolic imaging data at 7T 2025 ·NeuroImage ·(unknown), (unknown), Bernhard Strasser, (unknown), (unknown), (unknown), (unknown), Lukas Hingerl, (unknown), William T. Clarke, Georg Langs, Wolfgang Bogner, Stanislav Motyka	1
5	Deep learning links localized digital pathology phenotypes with transcriptional subtype and patient outcome in glioblastoma 2024 ·GigaScience ·Thomas Roetzer-Pejrimovsky, Karl‐Heinz Nenning, Barbara Kiesel, Johanna Klughammer, Martin Rajchl, Bernhard Baumann, Georg Langs, Adelheid Wöehrer	5
6	Towards the adoption of quantitative computed tomography in the management of interstitial lung disease 2024 ·European Respiratory Review ·Simon Walsh, Jan De Backer, Helmut Prosch, Georg Langs, Lucio Calandriello, Vincent Cottin, Kevin K. Brown, Yoshikazu Inoue, Vasilios Tzilas, (unknown)	13
7	Acute impact of posthemorrhagic ventricular dilatation on cerebral oxygenation in preterm infants with intraventricular haemorrhage 2024 ·Acta Paediatrica ·(unknown), (unknown), Vito Giordano, (unknown), (unknown), Georg Langs, (unknown), Monika Olischar, Angelika Berger, Katharina Goeral	0
8	Predicting Outcomes of Preterm Neonates Post Intraventricular Hemorrhage 2024 ·International Journal of Molecular Sciences ·(unknown), (unknown), (unknown), Christa Nöhammer, Monika Olischar, Angelika Berger, Gregor Kasprian, Georg Langs, Klemens Vierlinger, Katharina Goeral	1
9	Artificial intelligence in medical imaging is a tool for clinical routine and scientific discovery 2023 ·Seminars in Arthritis and Rheumatism ·Georg Langs	3
10	Correlation of histologic, imaging, and artificial intelligence features in NAFLD patients, derived from Gd-EOB-DTPA-enhanced MRI: a proof-of-concept study 2023 ·European Radiology ·Nina Bastati, Matthias Perkonigg, (unknown), Sarah Poetter‐Lang, (unknown), Andrea Beer, Alina Messner, Martin L. Watzenboeck, (unknown), (unknown), Alexander Herold, (unknown), Jacqueline C. Hodge, (unknown), Michael Trauner, Ahmed Ba‐Ssalamah, Georg Langs	4
11	Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics 2022 ·Matthias Perkonigg, Johannes Hofmanninger, Christian Herold, Helmut Prosch, Georg Langs	4
12	Distributionally Robust Deep Learning using Hardness Weighted Sampling 2022 ·arXiv (Cornell University) ·Lucas Fidon, Michaël Aertsen, (unknown), (unknown), (unknown), (unknown), (unknown), Ernst Schwartz, Michael Ebner, Daniela Prayer, Gregor Kasprian, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Georg Langs, Tom Vercauteren	2
13	The Prenatal Origins of Human Brain Asymmetry: Lessons Learned from a Cohort of Fetuses with Body Lateralization Defects 2021 ·Cerebral Cortex ·(unknown), Ernst Schwartz, M.C. Diogo, G.M. Gruber, Peter Brügger, Herbert Kiss, Barbara Ulm, L. Bartha, Rainer Seidl, Michael Weber, Georg Langs, Daniela Prayer, Gregor Kasprian	7
14	Lesion-Specific Language Network Alterations in Temporal Lobe Epilepsy 2020 ·American Journal of Neuroradiology ·(unknown), Karl‐Heinz Nenning, L. Bartha, Christoph Baumgartner, Ekaterina Pataraia, Doris Moser, (unknown), Victor Schmidbauer, Johannes A. Hainfellner, Thomas Czech, Christian Dorfer, Georg Langs, Daniela Prayer, Silvia Bonelli, Gregor Kasprian	6
15	BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets breakdown → 2020 ·Communications Biology ·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	325
16	Atypical language representation is unfavorable for language abilities following childhood stroke 2018 ·European Journal of Paediatric Neurology ·L. Bartha, (unknown), Kathrin Kollndorfer, Anna‐Lisa Schuler, Gregor Kasprian, Georg Langs, Ernst Schwartz, Florian Ph. S. Fischmeister, Daniela Prayer, Rainer Seidl	22
17	Mens inversus in corpore inverso? Language lateralization in a boy with situs inversus totalis 2017 ·Brain and Language ·Anna‐Lisa Schuler, Gregor Kasprian, Ernst Schwartz, Rainer Seidl, M.C. Diogo, Christian Mitter, Georg Langs, Daniela Prayer, L. Bartha	12
18	Automatic segmentation and classification of intraretinal cystoid fluid and subretinal fluid in 3D-OCT using convolutional neural networks 2015 ·Investigative Ophthalmology & Visual Science ·Thomas Schlegl, (unknown), Dominika Podkowinski, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt‐Erfurth, Georg Langs	7
19	Fetal functional imaging portrays heterogeneous development of emerging human brain networks 2014 ·SHILAP Revista de lepidopterología ·András Jakab, Ernst Schwartz, Gregor Kasprian, G.M. Gruber, Daniela Prayer, (unknown), Georg Langs, (unknown)	104
20	Statistical Retinal OCT Appearance Models 2014 ·Investigative Ophthalmology & Visual Science ·Alessio Montuoro, Sebastian M. Waldstein, Bianca S. Gerendas, Georg Langs, Christian Simader, Ursula Schmidt‐Erfurth	4

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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