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

• Daten für neue Technologien und Forschung in der Gesundheit - eine Arbeitsgruppe der DIO / Hanbury, A., & Langs, G. (2021). Daten für neue Technologien und Forschung in der Gesundheit - eine Arbeitsgruppe der DIO. Imagine 21 - Create your Future - Mission Impossible?, Wien, Austria. http://hdl.handle.net/20.500.12708/87307
• Spatio Temporal Risk Prediction of Focal Bone Lesion Evolution in Multiple Myeloma / Licandro, R., Perkonigg, M., Röhrich, S., Weber, M.-A., Wennmann, M., Kintzele, L., Piraud, M., Menze, B., & Langs, G. (2021). Spatio Temporal Risk Prediction of Focal Bone Lesion Evolution in Multiple Myeloma. European Congress of Radiology (ECR 2021), Wien, Austria. http://hdl.handle.net/20.500.12708/87262

2020

• Evolution Risk Prediction of Bone Lesions in Multiple Myeloma / Licandro, R., Hofmanninger, J., Perkonigg, M., Röhrich, S., Weber, M.-A., Wennmann, M., Kintzele, L., Piraud, M., Menze, B., & Langs, G. (2020). Evolution Risk Prediction of Bone Lesions in Multiple Myeloma. European Congress of Radiology 2020, Wien, Austria. http://hdl.handle.net/20.500.12708/87090
• Maschinelles Lernen in der Radiologie: Begriffsbestimmung vom Einzelzeitpunkt bis zur Trajektorie / Langs, G., Attenberger, U., Licandro, R., Hofmanninger, J., Perkonigg, M., Zusag, M., Röhrich, S., Sobotka, D., & Prosch, H. (2020). Maschinelles Lernen in der Radiologie: Begriffsbestimmung vom Einzelzeitpunkt bis zur Trajektorie. Der Radiologe, 60(1), 6–14. https://doi.org/10.1007/s00117-019-00624-x
• Evaluation of confound regression strategies for denoising in-utero resting-state functional MRI / Taymourtash, A., Schwartz, E., Nenning, K. H., Licandro, R., Sobotka, D., Diogo, M., Prayer, D., Kasprian, G., & Langs, G. (2020). Evaluation of confound regression strategies for denoising in-utero resting-state functional MRI. Organization for Human Brain Mapping (OHMB) 2020, Montreal, Canada. http://hdl.handle.net/20.500.12708/87092
• Functional thalamocortical connectivity development revealed by in-utero resting state fMRI / Taymourtash, A., Schwartz, E., Nenning, K. H., Licandro, R., Sobotka, D., Diogo, M., Golland, P., Grant, E., Kasprian, G., Prayer, D., & Langs, G. (2020). Functional thalamocortical connectivity development revealed by in-utero resting state fMRI. In Utero-MRI Workshop, Oxford, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/87091

2019

• Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI / Sobotka, D., Licandro, R., Ebner, M., Ourselin, S., Kasprian, G., Prayer, D., & Langs, G. (2019). Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI. In Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis (pp. 123–132). Springer. https://doi.org/10.1007/978-3-030-32875-7_14
• Whole-body MRI based lesion prediction in multiple myeloma / Licandro, R., Hofmanninger, J., Weber, M.-A., Menze, B., & Langs, G. (2019). Whole-body MRI based lesion prediction in multiple myeloma. Insights into Imaging, 10. http://hdl.handle.net/20.500.12708/57978
• 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, United Kingdom of Great Britain and Northern Ireland (the). 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
• Dimensionality reduction for analysis of functional connectivity in the developing human brain / Frauenstein, L., Nenning, K. H., Schwartz, E., Licandro, R., Bühler, K., & Langs, G. (2018). Dimensionality reduction for analysis of functional connectivity in the developing human brain. Forum of Neuroscience (11th FENS 2018), Berlin, Deutschland, EU. http://hdl.handle.net/20.500.12708/86781
• Early Predictors of Bone Infiltration in Multiple Myeloma Patients from T2 weighted MRI images / Licandro, R., Hofmanninger, J., Weber, M.-A., Menze, B., & Langs, G. (2018). Early Predictors of Bone Infiltration in Multiple Myeloma Patients from T2 weighted MRI images. In Proceedings of the OAGM Workshop 2018 Medical Image Analysis (pp. 9–12). Verlag der Technischen Universität Graz. http://hdl.handle.net/20.500.12708/56022
• 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

• Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks / Jimenez del Toro, O. A., Müller, H., Krenn, M., Grünberg, K., Taha, A. A., Winterstein, M., Eggel, I., Foncubierta-Rodríguez, A., Goksel, O., Jakab, A., Kontokotsios, G., Langs, G., Menze, B. H., Fernandez, T. S., Schaer, R., Walleyo, A., Weber, M.-A., Dicente Cid, Y., Gass, T., & Hanbury, A. (2016). Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. IEEE Transactions on Medical Imaging, 35(11), 2459–2475. https://doi.org/10.1109/tmi.2016.2578680
• Longitudinal Atlas Learning for Fetal Brain Tissue Labeling using Geodesic Regression / Licandro, R., Langs, G., Kasprian, G., Sablatnig, R., Prayer, D., & Schwartz, E. (2016). Longitudinal Atlas Learning for Fetal Brain Tissue Labeling using Geodesic Regression. Woman in Computer Vision (WiCV) Workshop at the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, USA, Non-EU. http://hdl.handle.net/20.500.12708/86367
• Spatio Temporal Modelling of Dynamic Developmental Pattern / Licandro, R., Langs, G., & Kampel, M. (2016). Spatio Temporal Modelling of Dynamic Developmental Pattern. International Computer Vision Summer School (ICVSS), Sizilien, Italien, EU. http://hdl.handle.net/20.500.12708/86366
• Longitudinal influence assessment of paediatric stroke events on resting state networks / Licandro, R., Nenning, K. H., Kollndorfer, K., Bartha-Doering, L., & Langs, G. (2016). Longitudinal influence assessment of paediatric stroke events on resting state networks. 5th Biennial Conference on Resting State Brain Connectivity, Wien, Austria. http://hdl.handle.net/20.500.12708/86363
• A Longitudinal Diffeomorphic Atlas-Based Tissue Labeling Framework for Fetal Brains using Geodesic Regression / Licandro, R., Langs, G., Kasprian, G., Sablatnig, R., Prayer, D., & Schwartz, E. (2016). A Longitudinal Diffeomorphic Atlas-Based Tissue Labeling Framework for Fetal Brains using Geodesic Regression. In Proceedings of the 21st Computer Vision Winter Workshop. 21st Computer Vision Winter Workshop (CVWW2016), Rimske Toplice, Slovenia, EU. Slovenian Pattern Recognition Society. http://hdl.handle.net/20.500.12708/56654
• Changing Functional Connectivity in the Child's Developing Brain Affected by Ischaemic Stroke / Licandro, R., Nenning, K. H., Schwartz, E., Kollndorfer, K., Bartha-Doering, L., & Langs, G. (2016). Changing Functional Connectivity in the Child’s Developing Brain Affected by Ischaemic Stroke. In MICCAI satellite workshop on Perinatal, Preterm and Paediatric Imaging Proceedings of PIPPI 2016 (p. 10). http://hdl.handle.net/20.500.12708/56649

2015

• Towards Segmentation of Human Teeth Contours in Dental Radiographs using Active Shape Models / Sprinzl, M., Kropatsch, W., Sablatnig, R., & Langs, G. (2015). Towards Segmentation of Human Teeth Contours in Dental Radiographs using Active Shape Models. In Symposium on Statistical Shape Modelling and Applications - Porceedings (p. 10). http://hdl.handle.net/20.500.12708/56154
• Towards Segmentation of Human Teeth Contours in Dental Radiographs Using Active Shape Models / Sprinzl, M., Kropatsch, W., Langs, G., & Sablatnig, R. (2015). Towards Segmentation of Human Teeth Contours in Dental Radiographs Using Active Shape Models. In P. Wolhart (Ed.), Proceedings of the 20th Computer Vision Winter Workshop (pp. 11–20). Verlag der Technischen Universität Graz. http://hdl.handle.net/20.500.12708/55838

2014

• Longitudinal Diffeomorphic Fetal Brain Atlas Learning For Tissue Labeling Using Geodesic Regression And Graph Cuts / Licandro, R., Schwartz, E., Langs, G., & Sablatnig, R. (2014). Longitudinal Diffeomorphic Fetal Brain Atlas Learning For Tissue Labeling Using Geodesic Regression And Graph Cuts. Medical Imaging Summer School 2014, Favignana, Sizilien, Italien, EU. http://hdl.handle.net/20.500.12708/85904

2012

• Bringing the Algorithms to the Data: Cloud-based Benchmarking for Medical Image Analysis / Hanbury, A., Müller, H., Langs, G., Weber, M.-A., Menze, B., & Salas, T. (2012). Bringing the Algorithms to the Data: Cloud-based Benchmarking for Medical Image Analysis. In Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics (pp. 24–29). http://hdl.handle.net/20.500.12708/54442

2010

• Automatic image-based assessment of lesion development during hemangioma follow-up examinations / Zambanini, S., Sablatnig, R., Maier, H., & Langs, G. (2010). Automatic image-based assessment of lesion development during hemangioma follow-up examinations. Artificial Intelligence in Medicine, 50(2), 83–94. https://doi.org/10.1016/j.artmed.2010.06.003

2009

• Detection of Capillary Vessels in Optical Coherence Tomography Based on a Probabilistic Kernel / Dittrich, E., Neji, R., Schmoll, T., Schriefl, S., Ahlers, C., Leitgeb, R., & Langs, G. (2009). Detection of Capillary Vessels in Optical Coherence Tomography Based on a Probabilistic Kernel. In Medical Image Understanding And Analysis 2009 (pp. 37–41). http://hdl.handle.net/20.500.12708/53003
• Segmentation and Deformation Analysis of the Aorta in Gated CTA sequences in a MDL Framework / Schwartz, E., Langs, G., Holfeld, J., Gottardi, R., Loewe, C., & Peloschek, P. L. (2009). Segmentation and Deformation Analysis of the Aorta in Gated CTA sequences in a MDL Framework. In Medical Image Understanding And Analysis 2009 (pp. 27–32). http://hdl.handle.net/20.500.12708/52924
• Weakly Supervised Group-Wise Model Learning Based on Discrete Optimization / Donner, R., Wildenauer, H., Bischof, H., & Langs, G. (2009). Weakly Supervised Group-Wise Model Learning Based on Discrete Optimization. In Medical Image Computing and Computer-Assisted Intervention -MICCAI2009 (pp. 860–868). Springer. http://hdl.handle.net/20.500.12708/53004
• matVTK - 3D visualization for Matlab / Birngruber, E., Donner, R., & Langs, G. (2009). matVTK - 3D visualization for Matlab. In Proceedings of the MICCAI 2009 Workshop on systems and architectures for CAI (p. 8). http://hdl.handle.net/20.500.12708/53005
• Automatic Region Template Generation for Shape Particle Filtering based Image Segmentation / Fischer, L., Donner, R., Kainberger, F., & Langs, G. (2009). Automatic Region Template Generation for Shape Particle Filtering based Image Segmentation. In Proceedings (pp. 289–300). http://hdl.handle.net/20.500.12708/52911

2008

• Messen statt scoren in der Rheumatologie; Neue quantitative Bildgebungs- und -verarbeitungsmethoden der Radiologie / Peloschek, P. L., Müller-Mang, C., Friedrich, K., Langs, G., Donner, R., Valentinitsch, A., & Kainberger, F. (2008). Messen statt scoren in der Rheumatologie; Neue quantitative Bildgebungs- und -verarbeitungsmethoden der Radiologie. Zeitschrift Für Rheumatologie, 1, 51–58. http://hdl.handle.net/20.500.12708/171103
• Using Generalized Sparse MRF Appearance Models for Anatomical Structure Localization / Donner, R., Langs, G., Micusik, B., & Bischof, H. (2008). Using Generalized Sparse MRF Appearance Models for Anatomical Structure Localization. In 20th International Conference of Society for Medical Innovations and Technology. 20th International Conference of Society for Medical Innovations and Technology, Vienna, Austria, Austria. http://hdl.handle.net/20.500.12708/52638
• Estimation Of Fit Confidence In Active Shape Model Search For The Reliable Measurement Of Knee Alignment / Widhalm, P., Langs, G., Donner, R., Fakhrai, N., Peloschek, P. L., & Sablatnig, R. (2008). Estimation Of Fit Confidence In Active Shape Model Search For The Reliable Measurement Of Knee Alignment. In Challenge in the Biosciences: Image Analysis and Pattern Recognition Aspects. 32nd Workshop of the Austrian Association for Pattern Recognition, Linz, Austria. OCG. http://hdl.handle.net/20.500.12708/52637

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

• Quantitative Bildgebung bei rheumatoider Arthritis: Vom Scoring zur Messung / Peloschek, P. L., Langs, G., Valentinitsch, A., Bubale, M., Schlager, T., Müller-Mang, C., & Kainberger, F. (2006). Quantitative Bildgebung bei rheumatoider Arthritis: Vom Scoring zur Messung. Der Radiologe, 46(11), 411–416. http://hdl.handle.net/20.500.12708/173410
• Computerassistierte radiologische Diagnostik arthritischer Gelenkveraenderungen / Kainberger, F., Langs, G., Peloschek, P. L., Schlager, T., Schüller-Weidekamm, C., & Valentinitsch, A. (2006). Computerassistierte radiologische Diagnostik arthritischer Gelenkveraenderungen. Zeitschrift Für Rheumatologie, 65(7). http://hdl.handle.net/20.500.12708/173409
• Active Feature Models / Langs, G., Peloschek, P. L., Donner, R., Reiter, M., & Bischof, H. (2006). Active Feature Models. In The 18th International Conference on Pattern Recognition (pp. 417–420). IEEE Society. http://hdl.handle.net/20.500.12708/51558
• Annotation Propagation by MDL Based Correspondences / Langs, G., Peloschek, P. L., Donner, R., & Bischof, H. (2006). Annotation Propagation by MDL Based Correspondences. In 11th Computer Vision Winter Workshop (pp. 11–16). http://hdl.handle.net/20.500.12708/51559
• Automatic Detection of Erosions in Rheumatoid Arthritis Assessment / Langs, G., Peloschek, P. L., Bischof, H., & Kainberger, F. (2006). Automatic Detection of Erosions in Rheumatoid Arthritis Assessment. In Quantitative Automated Musculoskeletal Analysis (pp. 33–40). http://hdl.handle.net/20.500.12708/51556
• Predicting Near Infrared Face Texture from Color Face Images using Canonical Correlation Analysis / Reiter, M., Donner, R., Langs, G., & Bischof, H. (2006). Predicting Near Infrared Face Texture from Color Face Images using Canonical Correlation Analysis. In Digital Imaging and Pattern Recognition (pp. 161–167). OCG Schriftenreihe. http://hdl.handle.net/20.500.12708/51584
• Estimation of Face Depth Maps from Color Textures using Canonical Correlation Analysis / Reiter, M., Donner, R., Langs, G., & Bischof, H. (2006). Estimation of Face Depth Maps from Color Textures using Canonical Correlation Analysis. In Proceedings of the Computer Vision Winter Workshop (pp. 17–21). http://hdl.handle.net/20.500.12708/51585
• 3D and Infrared Face Reconstruction from RGB data using Canonical Correlation Analysis / Reiter, M., Donner, R., Langs, G., & Bischof, H. (2006). 3D and Infrared Face Reconstruction from RGB data using Canonical Correlation Analysis. In The 18th International Conference on Pattern Recognition. IAPR ICPR 2006, Hong Kong, Non-EU. IEEE Conmputer Society. http://hdl.handle.net/20.500.12708/51586
• Fast Active Appearance Model Search Using Canonical Correlation Analysis / Donner, R., Reiter, M., Langs, G., Peloschek, P. L., & Bischof, H. (2006). Fast Active Appearance Model Search Using Canonical Correlation Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(10), 1690–1694. http://hdl.handle.net/20.500.12708/173411
• Approaches for administration of DICOM-data for computerized applications / Valentinitsch, A., Schlager, T., Langs, G., & Peloschek, P. L. (2006). Approaches for administration of DICOM-data for computerized applications. In Proc. of EuroPACS. 24th International EuroPACS Conference, Trondheim, Norwegen, EU. http://hdl.handle.net/20.500.12708/51568
• Automatic Surveying of Cutaneous Hemangiomas / Zambanini, S., Langs, G., Sablatnig, R., Donath, P., & Maier, H. (2006). Automatic Surveying of Cutaneous Hemangiomas. In 18th International Conference on Pattern Recognition (pp. 1022–1025). http://hdl.handle.net/20.500.12708/51497

2005

• 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
• 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

2004

• Concept of a fully automated web-based scoring system for desctructive changes by rheumatoid arthritis - RheumaCoachCAD / Peloschek, P. L., Langs, G., Bischof, H., Kropatsch, W., & Imhof, H. (2004). Concept of a fully automated web-based scoring system for desctructive changes by rheumatoid arthritis - RheumaCoachCAD. In European Society of Muscoloskeletal Radiology Meeting ESSR 2004. European Society of Muscoloskeletal Radiology. http://hdl.handle.net/20.500.12708/50983
• Automated joint localization, estimation of the bone contour and consecutive detection of defects of the bone contour in metacarpal bones for computer aided diagnosis (CAD) in rheumatoid arthritis / Peloschek, P. L., Langs, G., Bischof, H., Kropatsch, W., Imhof, H., & Kainberger, F. (2004). Automated joint localization, estimation of the bone contour and consecutive detection of defects of the bone contour in metacarpal bones for computer aided diagnosis (CAD) in rheumatoid arthritis. In European Congress of Radiology, ECR 2004. European Congress of Radiology. http://hdl.handle.net/20.500.12708/50982

2003

• Development of a System for Computer aided diagnosis (CAD) in rheumatoid Arthritis (1): automated joint localization in handradiographs / Peloschek, P. L., Langs, G., Bischof, H., Kainberger, F., Kropatsch, W., & Imhof, H. (2003). Development of a System for Computer aided diagnosis (CAD) in rheumatoid Arthritis (1): automated joint localization in handradiographs. In Proceedings of European Society of Musculoskeletal Radiology Meeting ESSR 2003 (p. 1). http://hdl.handle.net/20.500.12708/50956
• Development of a system for Computer aided diagnosis (CAD) in rheumatoid arthritis (2) automated accurate estimation of the bony contour of metacarpal bones / Peloschek, P. L., Langs, G., Bischof, H., Kainberger, F., Kropatsch, W., & Imhof, H. (2003). Development of a system for Computer aided diagnosis (CAD) in rheumatoid arthritis (2) automated accurate estimation of the bony contour of metacarpal bones. In Proceedings of European Societa of Muscoskeletal Radiology Meeting ESSR 2003. European Society of Muscoskeletal Radiology Meeting ESSR, Aarhus, Denmark, Austria. http://hdl.handle.net/20.500.12708/50957
• Automatic Quantification of Destructive Changes caused by Rheumatoid Arthritis / Langs, G., Bischof, H., & Peloschek, P. L. (2003). Automatic Quantification of Destructive Changes caused by Rheumatoid Arthritis. http://hdl.handle.net/20.500.12708/32924
• Automatic quantification of destructive changes caused by rheumatoid arthritis / Langs, G. (2003). Automatic quantification of destructive changes caused by rheumatoid arthritis [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/183088

2002

• Irregular Eigenimage Pyramids and Robust Appearance-Based Object Recognition / Langs, G., Bischof, H., & Kropatsch, W. (2002). Irregular Eigenimage Pyramids and Robust Appearance-Based Object Recognition. http://hdl.handle.net/20.500.12708/32811

• Lung and lung cancer segmentation using deep learning / Milicevic, V. (2024). Lung and lung cancer segmentation using deep learning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.112776
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• Predicting tumor-infiltrating lymphocytes for glioblastoma using radiomics and deep learning approaches / Zvonek, M. (2022). Predicting tumor-infiltrating lymphocytes for glioblastoma using radiomics and deep learning approaches [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.97403
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• Spatio temporal modelling of dynamic developmental patterns / Licandro, R. (2021). Spatio temporal modelling of dynamic developmental patterns [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.39603
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• Non-negative matrix factorization as a tool for fMRI analysis of dynamicity and individuality of functional networks / Fürböck, C. (2020). Non-negative matrix factorization as a tool for fMRI analysis of dynamicity and individuality of functional networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.66127
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• Longitudinal alignment for tracking lesion evolution in multiple myeloma / Stanzl, V. (2019). Longitudinal alignment for tracking lesion evolution in multiple myeloma [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.60864
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• Convolutional neural networks for bone lesion detection in medical imaging data / Perkonigg, M. (2018). Convolutional neural networks for bone lesion detection in medical imaging data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.54902
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• Anomaly detection and prediction in longitudinal imaging data / Burger, B. (2018). Anomaly detection and prediction in longitudinal imaging data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.44821
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• Detection and interactions of dynamic communities in brain functional connectivity imaging / Léger, G. (2016). Detection and interactions of dynamic communities in brain functional connectivity imaging [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2016.36294
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• Deep learning in medical image analysis / Seeböck, P. (2015). Deep learning in medical image analysis [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2015.23137
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• Longitudinal diffeomorphic fetal brain atlas learning for tissue labeling using geodesic regression and graph cuts / Licandro, R. (2015). Longitudinal diffeomorphic fetal brain atlas learning for tissue labeling using geodesic regression and graph cuts [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2015.21890
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• Over-segmentation of 3D medical image volumes based on monogenic cues / Holzer, M. (2014). Over-segmentation of 3D medical image volumes based on monogenic cues [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2014.25724
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• Computational analysis of textures related to idiopathic interstitial pneumonia / Ofner, J. (2013). Computational analysis of textures related to idiopathic interstitial pneumonia [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/159730
• Automatic segmentation and classification of breast lesions using a novel multimodal imaging approach / Vogl, W.-D. (2012). Automatic segmentation and classification of breast lesions using a novel multimodal imaging approach [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-46386
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• Detecting and characterizing interactions within multivariate brain activity / Perl, J. (2012). Detecting and characterizing interactions within multivariate brain activity [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/161087
• Mirror visual feedback therapy for phantom pain : changes in functional connectivity patterns / Nenning, K.-H. (2011). Mirror visual feedback therapy for phantom pain : changes in functional connectivity patterns [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-42848
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• Detection and quantitative observation of fetal eye movement patterns / Schlegl, T. (2011). Detection and quantitative observation of fetal eye movement patterns [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/160491
• Optimizing shape particle filters for the detection and segmentation of medical images / Fischer, L. (2010). Optimizing shape particle filters for the detection and segmentation of medical images [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-31430
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• Measuring the effects of aortic branch transposition onto the vessel dynamics of the Aorta / Schwartz, E. (2010). Measuring the effects of aortic branch transposition onto the vessel dynamics of the Aorta [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/161400
• Automatic assessment of the knee alignment angles on full-limb radiographs / Widhalm, P. (2008). Automatic assessment of the knee alignment angles on full-limb radiographs [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-23391
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