TU Wien Informatics

20 Years

Role

2024S

 

2022

  • Modellierung und Simulation – Erstellen Sie Ihre eigenen Modelle / Zauner, G., & Weidinger, W. (2022). Modellierung und Simulation – Erstellen Sie Ihre eigenen Modelle. In S. Papp, W. Weidinger, K. Munro, B. Ortner, A. Cadonna, G. Langs, R. Licandro, M. Meir-Huber, D. Nikolić, Z. Toth, B. Vesela, R. Wazir, & G. Zauner (Eds.), Handbuch Data Science und KI: Mit Machine Learning und Datenanalyse Wert aus Daten generieren (pp. 379–421). https://doi.org/10.3139/9783446472457.012

2021

2020

2019

  • Asymmetric Cascade Networks for Focal Bone Lesion Prediction in Multiple Myeloma / Licandro, R., Hofmanninger, J., Perkonigg, M., Röhrich, S., Weber, M.-A., Wennmann, M., Kintzele, L., Piraud, M., Menze, B., & Langs, G. (2019). Asymmetric Cascade Networks for Focal Bone Lesion Prediction in Multiple Myeloma. In Medical Imaging with Deep Learning: MIDL 2019. International Conference on Medical Imaging with Deep Learning (MIDL), London, UK, EU. http://hdl.handle.net/20.500.12708/57975

2018

  • Predicting Future Bone Infiltration Patterns in Multiple Myeloma / Licandro, R., Hofmanninger, J., Weber, M.-A., Menze, B., & Langs, G. (2018). Predicting Future Bone Infiltration Patterns in Multiple Myeloma. In W. Bai, G. Sanroma, G. Wu, B. C. Munsell, Y. Zhan, & P. Coupé (Eds.), Patch-Based Techniques in Medical Imaging. Patch-MI 2018 (pp. 76–84). Springer. https://doi.org/10.1007/978-3-030-00500-9_9
  • Whole body image analysis for diagnosing patients with monoclonal plasma cell disorders / Licandro, R., Hofmanninger, J., Menze, B., Weber, M.-A., & Langs, G. (2018). Whole body image analysis for diagnosing patients with monoclonal plasma cell disorders. 7th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Funchal, Portugal, EU. http://hdl.handle.net/20.500.12708/86780
  • WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia / Licandro, R., Schlegl, T., Reiter, M., Diem, M., Dworzak, M., Schumich, A., Langs, G., & Kampel, M. (2018). WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia. In 2018 24th International Conference on Pattern Recognition (ICPR). 24th International Conference on Pattern Recognition (ICPR) 2018, Beijing, China, Non-EU. IEEE. https://doi.org/10.1109/icpr.2018.8546177

2017

  • Assessing Reorganisation of Functional Connectivity in the Infant Brain / Licandro, R., Nenning, K. H., Schwartz, E., Kollndorfer, K., Bartha-Doering, L., Hesheng, L., & Langs, G. (2017). Assessing Reorganisation of Functional Connectivity in the Infant Brain. In Fetal, Infant and Ophthalmic Medical Image Analysis (pp. 14–24). Springer. https://doi.org/10.1007/978-3-319-67561-9_2
  • Cloud-Based Benchmarking of Medical Image Analysis / Hanbury, A., Müller, H., & Langs, G. (Eds.). (2017). Cloud-Based Benchmarking of Medical Image Analysis. Springer International Publishing. http://hdl.handle.net/20.500.12708/24397

2016

2014

2012

2009

2008

2007

  • Robust Autonomous Model Learning from 2D and 3D Data Sets / Langs, G., Donner, R., Peloschek, P. L., & Bischof, H. (2007). Robust Autonomous Model Learning from 2D and 3D Data Sets. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007. 10th International Conference MICCAI 2007, Brisbane, AQustralia, Non-EU. http://hdl.handle.net/20.500.12708/52035
  • Object Localization based on Markov Random Fields and Symmetry Interest Points / Donner, R., Micusik, B., Langs, G., Szumilas, L., Peloschek, P. L., Friedrich, K., & Bischof, H. (2007). Object Localization based on Markov Random Fields and Symmetry Interest Points. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007. 10th International Conference MICCAI 2007, Brisbane, AQustralia, Non-EU. http://hdl.handle.net/20.500.12708/52036
  • Sparse MRF Appearance Models for Fast Anatomical Structure Localisation / Donner, R., Langs, G., Micusik, B., & Bischof, H. (2007). Sparse MRF Appearance Models for Fast Anatomical Structure Localisation. In Britisch Machine Vision Conference. British Machine Vision Conference BMVC 2007, Warwick, EU. http://hdl.handle.net/20.500.12708/52034
  • Local Structure Detection with Orientation-invariant Radial Configuration / Szumilas, L., Donner, R., Langs, G., & Hanbury, A. (2007). Local Structure Detection with Orientation-invariant Radial Configuration. In Computer Vision and Pattern Recognition (p. 7). http://hdl.handle.net/20.500.12708/52043
  • Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration / Langs, G., Paragios, N., Donner, R., Desgranges, P., Rahmouni, A., & Kobeiter, H. (2007). Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration. In Mathematical Methods in Biomedical Image Analysis (p. 8). IEEE Computer Society. http://hdl.handle.net/20.500.12708/52037
  • Automatic Robust Registration of Cutaneous Hemangiomas for Follow-up Examinations / Zambanini, S., Langs, G., Sablatnig, R., Donath, P., & Maier, H. (2007). Automatic Robust Registration of Cutaneous Hemangiomas for Follow-up Examinations. In Performance Evaluation for Computer Vision 31st AAPR/OAGM Workshop 2007 (pp. 121–128). OCG. http://hdl.handle.net/20.500.12708/51818

2006

2005

  • CCA-based Active Appearance Model Search / Donner, R., Langs, G., Reiter, M., & Bischof, H. (2005). CCA-based Active Appearance Model Search. In A. Hanbury & H. Bischof (Eds.), Computer Vision Winter Workshop 2005 (pp. 73–82). Eigenverlag. http://hdl.handle.net/20.500.12708/51329
  • Fast Active Appearance Model Search based on CCA and its application to hand radiographs / Donner, R., Langs, G., Reiter, A., & Bischof, H. (2005). Fast Active Appearance Model Search based on CCA and its application to hand radiographs. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), Proceedings of the Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition} (pp. 49–56). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51330
  • Optimal Sub-Shape Models by Minimum Description / Langs, G., Peloschek, P. L., & Bischof, H. (2005). Optimal Sub-Shape Models by Minimum Description. In Proceedings of IEEE Converence on Computer Vision (pp. 310–315). IEEE Computer Society Press. http://hdl.handle.net/20.500.12708/51295
  • MDL-based Splitting of PCA Models / Langs, G., Peloschek, P. L., & Bischof, H. (2005). MDL-based Splitting of PCA Models. In A. Hanbury & H. Bischof (Eds.), Proceedings of Computer Vision Winter Workshop CVWW (pp. 13–22). Eigenverlag. http://hdl.handle.net/20.500.12708/51296
  • Segmentation and Surveying of Cutaneous Hemangiomas / Zambanini, S., Langs, G., & Bischof, H. (2005). Segmentation and Surveying of Cutaneous Hemangiomas. In A. Hanbury & H. Bischof (Eds.), Proceedings of Computer Vision Winter Workshop CVWW (pp. 103–112). Eigenverlag. http://hdl.handle.net/20.500.12708/51297
  • Evaluation of a method for digital definition of bone shapes / Peloschek, P. L., Langs, G., Urschler, M., Sailer, J., Uffmann, M., Schlager, T., Kainberger, F., & Bischof, H. (2005). Evaluation of a method for digital definition of bone shapes. In European Congress of Radiology ECR 2005 (pp. 191–192). Springer. http://hdl.handle.net/20.500.12708/51346
  • A Clique of Active Appearance Models by Minimum / Langs, G., Peloschek, P. L., Donner, R., & Bischof, H. (2005). A Clique of Active Appearance Models by Minimum. In Proceedings of the British Machine Vision Conference (pp. 859–868). British Machine Vision Association. http://hdl.handle.net/20.500.12708/51293
  • Vision Pyramids that do not Grow too High / Kropatsch, W., Haxhimusa, Y., Pizlo, Z., & Langs, G. (2005). Vision Pyramids that do not Grow too High. Pattern Recognition Letters, 26(3), 319–337. http://hdl.handle.net/20.500.12708/173324

2004

2003

2002