Röhrich, S., Hofmanninger, J., Negrin, L., Langs, G. and Prosch, H., 2021. Radiomics score predicts acute respiratory distress syndrome based on the initial CT scan after traumaEuropean Radiology, pp.1-11. Screenshot 2021 03 31 at 16.14.54
Roberts, M., Driggs, D., Thorpe, M., Gilbey, J., Yeung, M., Ursprung, S., Aviles-Rivero, A.I., Etmann, C., McCague, C., Beer, L. and Weir-McCall, J.R., et al. for AIX-COVNET 2021. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scansNature Machine Intelligence3(3), pp.199-217. Screenshot 2021 03 31 at 16.11.50
Nenning, K. H., Fösleitner, O., Schwartz, E., Schwarz, M., Schmidbauer, V., Geisl, G., ... & Bonelli, S. B. (2021). The impact of hippocampal impairment on task-positive and task-negative language networks in temporal lobe epilepsyClinical Neurophysiology132(2), 404-411. Screenshot 2021 03 31 at 16.19.33
J Hofmanninger, F Prayer, J Pan, S Röhrich, H Prosch, G Langs. 2020 Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem. European Radiology Experimental 4 (1), 1-13,  Screenshot 2021 02 18 at 11.56.2
Pianykh, O. S., Langs, G., Dewey, M., Enzmann, D. R., Herold, C. J., Schoenberg, S. O., & Brink, J. A. (2020). Continuous learning AI in radiology: implementation principles and early applicationsRadiology297(1), 6-14. Screenshot 2021 02 18 at 12.04.18
Nenning, K. H., Furtner, J., Kiesel, B., Schwartz, E., Roetzer, T., Fortelny, N., Bock C., Grisold A., Marko M., Leutmezer F., Liu H., Golland P., Stoecklein S., Hainfellner S.A., Kasprian G., Prayer D., Marosi C., Widhalm G., Woehrer A. & Langs, G. (2020). Distributed changes of the functional connectome in patients with glioblastoma. Scientific reports10(1), 1-11. Screenshot 2021 02 18 at 12.14.55
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., Milham, M.P., and Langs, G. 2020. Cross-species functional alignment reveals evolutionary hierarchy within the connectome. Neuroimage223, p.117346. Screenshot 2021 02 18 at 11.59.48
Hofmanninger, J., Röhrich, S., Prosch, H., & Langs, G. (2020). Separation of target anatomical structure and occlusions in chest radiographs. Med-NeurIPS 2021 arXiv:2002.00751. Screenshot 2021 02 18 at 12.25.00
Röhrich, S., Schlegl, T., Bardach, C., Prosch, H. and Langs, G., 2020. Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomographyEuropean radiology experimental4, pp.1-11. Screenshot 2021 03 31 at 16.21.57
P. Seeböck, S. Waldstein, S, Klimscha, H. Bogunovic, T. Schlegl, B. S. Gerendas,  R. Donner, U. Schmidt-Erfurth, G. Langs, "Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data". IEEE Transactions on Medical Imaging (accepted for publication). 2018. link to paper  graphicalAbstractWebVersion rescaled
R. Licandro, J. Hofmanninger, M.-A. Weber, B. Menze, G. Langs, Predicting Future Bone Infiltration Patterns in Multiple Myeloma, 4th International Workshop on Patch-based Techniques in Medical Imaging (MICCAI Patch-MI 2018), 2018. link to paper PatchMIweb
R. Licandro and T. Schlegl, M. Reiter, M. Diem, M. Dworzak, A. Schumich, G. Langs, M. Kampel, WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia, In Proceedings of 24th International Conference on Pattern Recognition (ICPR) 2018. link to paper  ICPR2018web2
Roxane Licandro, Karl-Heinz Nenning, Ernst Schwartz, Kathrin Kollndorfer, Lisa Bartha-Doering, Hesheng Liu, and Georg Langs. Assessing Reorganisation of Functional Connectivity in the Infant Brain. pages 14-24. Springer International Publishing, Cham, 2017. link to paper ROSscore2
Karl-Heinz Nenning, Hesheng Liu, Satrajit Ghosh, Mert Sabuncu, Ernst Schwartz, Georg Langs. Diffeomorphic Functional Brain Surface Alignment: Functional Demons. NeuroImage 156 (2017): 456-465. link to paper teaser fdemons2
G. Langs, D. Wang, P. Golland, S. Mueller, R. Pan, M. Sabuncu, W. Sun, K. Li, H. Liu. Identifying Shared Brain Networks in Individuals by Decoupling Functional and Anatomical Variability. in Cerebral Cortex (2015, in press) link to paper Langs et al. Cerebral Cortex 2015 thumbnail
A Jakab, G Kasprian, E Schwartz, G Maria Gruber, C Mitter, D Prayer, V Schöpf, and G Langs. Disrupted developmental organization of the structural connectome in fetuses with corpus callosum agenesis. NeuroImage 111 (2015): 277-288. link to paper thumbnail Jakab NeuroImage 2015
J. Hofmanninger and G. Langs. Mapping visual features to semantic profiles for retrieval in medical imaging. In Proceedings of the IEEE CVPR, pages 457–465, 2015. thumbnail Hofmanninger CVPR 2015
T. Schlegl, S. M. Waldstein, W.-D. Vogl, U. Schmidt-Erfurth, G. Langs. Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks. In Advances in Information Processing in Medical Imaging, IPMI 2015. link to paper IPMI15 schlegl
Karl-Heinz Nenning, Kathrin Kollndorfer, Veronika Schöpf, Daniela Prayer, and Georg LangsMulti-Subject Manifold Alignment of Functional Network Structures via Joint Diagonalization, Advances in Information Processing in Medical Imaging, IPMI 2015  link to paper results brain
G. Langs,  A. Sweet, D. Lashkari, Y. Tie, L. Rigolo, A. J. Golby, and P. Golland. Decoupling function and anatomy in atlases of functional connectivity patterns: Language mapping in tumor patients. NeuroImage 103 (2014): 462-475. link to paper
cir web picture langs2014
F. Ganglberger, F. Schulze, L. Tirian, A. Novikov, B. Dickson, K. Bühler, G. Langs. Structure-Based Neuron Retrieval Across Drosophila Brains. to appear Neuroinformatics 2014 (in press) link to paper frontimage neuroinformatics ganglberger jan2014
Eva Dittrich, Tammy Riklin-Raviv, Gregor Kasprian, Rene Donner, Peter C. Brugger, Daniela Prayer, Georg Langs. A Spatio-Temporal Latent Atlas for Semi-Supervised Learning of Fetal Brain Segmentations and Morphological Age Estimation. in Medical Image Analysis 2013.  link to paper
Rene Donner, Bjoern H Menze, Horst Bischof, Georg Langs. Global Localization of 3D Anatomical Structures by Pre-filtered Hough Forests and Discrete Optimization. in Medical Image Analysis 2013. in press. link to the paper
teaser Donner MedIA2013
Karl-Heinz Nenning, Veronika Schoepf, Daniela Prayer, Georg Langs. Overlapping Functional Networks in Multiple fMRI Paradigms. in Proceedings of the 2nd NIPS Workshop on Machine Learning and Interpretation in Neuroimaging 2012 teaser2012NIPSNenning
Alexander Valentinitsch, Janina M Patsch, Julia Deutschmann, Claudia Schueller-Weidekamm, Heinz Resch, Franz Kainberger, Georg Langs. Automated threshold-independent cortex segmentation by 3D-texture analysis of HR-pQCT scans. in Bone. 2012 Sep 51(3):480-487. Epub 2012 Jun 13.
Rene Donner, Bjoern Menze, Horst Bischof, Georg Langs Fast Anatomical Structure Localization Using Top-down Image Patch Regression. In Proc. MICCAI MCV'12
Ernst Schwartz, Johannes Holfeld, Martin Czerny, Christian Loewe,  Georg Langs. Towards Predicting the Effects of Stent-Grafting on the Motion of the Thoracic Aorta. in Proc. of MICCAI STENT'12. 2012
Eva Dittrich, Gregor Kasprian, Daniela Prayer, Georg Langs. Atlas Learning in Fetal Brain Development. Topics in Magnetic Resonance Imaging, 22(3):107-111, 2011.
Ernst Schwartz, Johannes Holfeld, Martin Czerny, Christian Loewe,  Georg Langs. Visualizing Changes in Vessel Wall Dynamics due to Stent-Grafting in the Aortic Arch. In Proc. of IEEE ISBI. 2012
Georg Langs, Bjoern H. Menze, Danial Lashkari, Polina Golland. Detecting stable distributed patterns of brain activation using gini contrast. NeuroImage, 56(2):497- 507, 2011.
Andreas Burner, René Donner, Marius Mayerhoefer, Franz Kainberger, Georg Langs. Texture Bags: Anomaly Retrieval in Medical Images based on Local 3D-Texture Similarity. Proc. MICCA’11 CIBR 2011