Langs, Georg

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

Schlegl, T., Seeböck, P., Waldstein, S. M., Schmidt-Erfurth, U., & Langs, G. (2017) · Lecture Notes in Computer Science

Anomaly Detection Techniques and ApplicationsRetinal Imaging and Analysis

Cited by 2,627

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

Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., Bezgin, G., Eickhoff, S. B., Castellanos, F. X., Petrides, M., et al. (2016) · Proceedings of the National Academy of Sciences

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 2,321

Causability and explainability of artificial intelligence in medicine

Holzinger, A., Langs, G., Denk, H., Zatloukal, K., & Müller, H. (2019) · WIREs Data Mining and Knowledge Discovery

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 1,885

Introduction to Radiomics

Mayerhoefer, M. E., Materka, A., Langs, G., Häggström, I., Szczypiński, P., Gibbs, P., & Cook, G. (2020) · Journal of Nuclear Medicine

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

Cited by 1,777

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

Roberts, M., Driggs, D., Thorpe, M., Gilbey, J., Yeung, M., Ursprung, S., Aviles-Rivero, A. I., Etmann, C., McCague, C., Beer, L., et al. (2021) · Nature Machine Intelligence

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 1,044

Parcellating cortical functional networks in individuals

Wang, D., Buckner, R. L., Fox, M. D., Holt, D. J., Holmes, A. J., Stoecklein, S., Langs, G., Pan, R., Qian, T., Li, K., et al. (2015) · Nature Neuroscience

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 527

Cross-species functional alignment reveals evolutionary hierarchy within the connectome

Xu, T., Nenning, K.-H., Schwartz, E., Hong, S.-J., Vogelstein, J. T., Goulas, A., Fair, D. A., Schroeder, C. E., Margulies, D. S., Smallwood, J., et al. (2020) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 266

Continuous Learning AI in Radiology: Implementation Principles and Early Applications

Pianykh, O. S., Langs, G., Dewey, M., Enzmann, D. R., Herold, C. J., Schoenberg, S. O., & Brink, J. A. (2020) · Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 237

Exploiting epistemic uncertainty of anatomy segmentation for anomaly detection in retinal OCT

Seebock, P., Orlando, J. I., Schlegl, T., Waldstein, S. M., Bogunovic, H., Klimscha, S., Langs, G., & Schmidt-Erfurth, U. (2020) · IEEE Transactions on Medical Imaging

Retinal Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 164

Dynamic Memory to Alleviate Catastrophic Forgetting in Continual Learning with Medical Imaging

Perkonigg, M., Hofmanninger, J., Herold, C. J., Brink, J. A., Pianykh, O., Prosch, H., & Langs, G. (2021) · Nature Communications

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 106

Fetal MRI detects early alterations of brain development in tetralogy of fallot

Schellen, C., Ernst, S., Gruber, G. M., Mlczoch, E., Weber, M., Brugger, P. C., Ulm, B., Langs, G., Salzer-Muhar, U., Prayer, D., et al. (2015) · American Journal of Obstetrics and Gynecology

Congenital Heart Disease StudiesFetal and Pediatric Neurological Disorders

Cited by 79

Validation of in utero tractography of human fetal commissural and internal capsule fibers with histological structure tensor analysis

Mitter, C., Jakab, A., Brugger, P. C., Ricken, G., Gruber, G. M., Bettelheim, D., Scharrer, A., Langs, G., Hainfellner, J. A., Prayer, D., et al. (2015) · Frontiers in Neuroanatomy

Advanced Neuroimaging Techniques and ApplicationsFetal and Pediatric Neurological Disorders

Cited by 48

Mapping visual features to semantic profiles for retrieval in medical imaging

Hofmanninger, J., & Langs, G. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 38

Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data

Sobotka, D., Ebner, M., Schwartz, E., Nenning, K.-H., Taymourtash, A., Vercauteren, T., Ourselin, S., Kasprian, G., Prayer, D., Langs, G., et al. (2022) · NeuroImage

Advanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 20

Fetal functional imaging portrays heterogeneous development of emerging human brain networks

Jakab, A., Schwartz, E., Kasprian, G., Gruber, G. M., Prayer, D., Schöpf, V., & Langs, G. (2014) · Frontiers in Human Neuroscience

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 10