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ORCIDGeorg Langs
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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2025
[j38]Paul Weiser
, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini M. Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi:
Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging. NeuroImage 309: 121045 (2025)- 2024
- [j37]Daniel Sobotka, Alexander Herold, Matthias Perkonigg, Lucian Beer, Nina Bastati, Alina Sablatnig, Ahmed Ba-Ssalamah, Georg Langs:
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training. Comput. Medical Imaging Graph. 114: 102369 (2024) - [c93]Branko Mitic, Philipp Seeböck, Jennifer Straub, Helmut Prosch, Georg Langs:
Detection of Emerging Infectious Diseases in Lung CT Based on Spatial Anomaly Patterns. MLMI@MICCAI (2) 2024: 138-147 - [c92]Stefan Brandstätter, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Helmut Prosch, Georg Langs:
Rigid Single-Slice-in-Volume Registration via Rotation-Equivariant 2D/3D Feature Matching. WBIR 2024: 280-294 - [i24]Paul Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini M. Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi:
Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging. CoRR abs/2409.18303 (2024) - [i23]Paul Weiser, Georg Langs, Stanislav Motyka, Wolfgang Bogner, Sébastien Courvoisier, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi:
WALINET: A water and lipid identification convolutional Neural Network for nuisance signal removal in 1H MR Spectroscopic Imaging. CoRR abs/2410.00746 (2024) - [i22]Stefan Brandstätter, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Helmut Prosch, Georg Langs:
Rigid Single-Slice-in-Volume registration via rotation-equivariant 2D/3D feature matching. CoRR abs/2410.18683 (2024) - [i21]Branko Mitic, Philipp Seeböck, Jennifer Straub, Helmut Prosch, Georg Langs:
Detection of Emerging Infectious Diseases in Lung CT based on Spatial Anomaly Patterns. CoRR abs/2410.19535 (2024) - 2023
- [j36]Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
Fetal brain tissue annotation and segmentation challenge results. Medical Image Anal. 88: 102833 (2023) - [j35]Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily R. Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 5(7): 681-686 (2023) - [i20]Stanislav Motyka, Paul Weiser, Beáta Bachratá, Lukas Hingerl, Bernhard Strasser, Gilbert Hangel, Eva Niess, Dario Goranovic, Fabian Niess, Maxim Zaitsev, Simon Daniel Robinson, Georg Langs, Siegfried Trattnig, Wolfgang Bogner:
Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net. CoRR abs/2304.08307 (2023) - 2022
- [j34]Bianca Burger, Karl-Heinz Nenning, Ernst Schwartz, Daniel S. Margulies, Alexandros Goulas, Hesheng Liu, Simon Neubauer, Justin Dauwels, Daniela Prayer, Georg Langs:
Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment. NeuroImage 247: 118770 (2022) - [j33]Daniel Sobotka, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro:
Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data. NeuroImage 255: 119213 (2022) - [c91]Christoph Fürböck, Matthias Perkonigg, Thomas Helbich, Katja Pinker, Valeria Romeo, Georg Langs:
Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types. MICCAI (8) 2022: 276-286 - [c90]Athena Taymourtash, Hamza Kebiri, Ernst Schwartz, Karl-Heinz Nenning, Sébastien Tourbier, Gregor Kasprian, Daniela Prayer, Meritxell Bach Cuadra, Georg Langs:
Spatio-Temporal Motion Correction and Iterative Reconstruction of In-Utero Fetal fMRI. MICCAI (6) 2022: 603-612 - [i19]Daniel Sobotka, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro:
Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data. CoRR abs/2202.05863 (2022) - [i18]Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR abs/2204.09573 (2022) - 2021
- [c89]Matthias Perkonigg, Johannes Hofmanninger, Georg Langs:
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. IPMI 2021: 649-660 - [c88]Lucas Fidon, Michael Aertsen, Nada Mufti, Thomas Deprest, Doaa Emam, Frédéric Guffens, Ernst Schwartz, Michael Ebner, Daniela Prayer, Gregor Kasprian, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Georg Langs, Tom Vercauteren:
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI. UNSURE/PIPPI@MICCAI 2021: 263-273 - [i17]Matthias Perkonigg, Johannes Hofmanninger, Georg Langs:
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. CoRR abs/2106.03351 (2021) - [i16]Lucas Fidon, Michael Aertsen, Nada Mufti, Thomas Deprest, Doaa Emam, Frédéric Guffens, Ernst Schwartz, Michael Ebner, Daniela Prayer, Gregor Kasprian, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Georg Langs, Tom Vercauteren:
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI. CoRR abs/2108.04175 (2021) - [i15]Matthias Perkonigg, Peter Mesenbrink, Alexander Goehler, Miljen Martic, Ahmed Ba-Ssalamah, Georg Langs:
Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies. CoRR abs/2111.07634 (2021) - [i14]Athena Taymourtash, Hamza Kebiri, Sébastien Tourbier, Ernst Schwartz, Karl-Heinz Nenning, Roxane Licandro, Daniel Sobotka, Hélène Lajous, Priscille de Dumast, Meritxell Bach Cuadra, Georg Langs:
4D iterative reconstruction of brain fMRI in the moving fetus. CoRR abs/2111.11394 (2021) - [i13]Matthias Perkonigg, Johannes Hofmanninger, Christian Herold, Helmut Prosch, Georg Langs:
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics. CoRR abs/2111.13069 (2021) - 2020
- [j32]Amirreza Mahbod, Philipp Tschandl, Georg Langs, Rupert Ecker, Isabella Ellinger:
The effects of skin lesion segmentation on the performance of dermatoscopic image classification. Comput. Methods Programs Biomed. 197: 105725 (2020) - [j31]Karl-Heinz Nenning, Ting Xu, Ernst Schwartz, Jesús Arroyo, Adelheid Woehrer, Alexandre R. Franco, Joshua T. Vogelstein, Daniel S. Margulies, Hesheng Liu, Jonathan Smallwood, Michael P. Milham, Georg Langs:
Joint embedding: A scalable alignment to compare individuals in a connectivity space. NeuroImage 222: 117232 (2020) - [j30]Ting Xu, Karl-Heinz Nenning, Ernst Schwartz, Seok-Jun Hong, Joshua T. Vogelstein, Alexandros Goulas, Damien A. Fair, Charles E. Schroeder, Daniel S. Margulies, Jonny Smallwood, Michael P. Milham, Georg Langs:
Cross-species functional alignment reveals evolutionary hierarchy within the connectome. NeuroImage 223: 117346 (2020) - [j29]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. IEEE Trans. Medical Imaging 39(1): 87-98 (2020) - [j28]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging 39(2): 273-282 (2020) - [j27]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT". IEEE Trans. Medical Imaging 39(4): 1291 (2020) - [c87]Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs:
Dynamic Memory to Alleviate Catastrophic Forgetting in Continuous Learning Settings. MICCAI (2) 2020: 359-368 - [i12]Johannes Hofmanninger, Florian Prayer, Jeanny Pan, Sebastian Rohrich, Helmut Prosch, Georg Langs:
Automatic lung segmentation in routine imaging is a data diversity problem, not a methodology problem. CoRR abs/2001.11767 (2020) - [i11]Johannes Hofmanninger, Sebastian Röhrich, Helmut Prosch, Georg Langs:
Separation of target anatomical structure and occlusions in chest radiographs. CoRR abs/2002.00751 (2020) - [i10]Matthias Perkonigg, Daniel Sobotka, Ahmed Ba-Ssalamah, Georg Langs:
Unsupervised deep clustering for predictive texture pattern discovery in medical images. CoRR abs/2002.03721 (2020) - [i9]Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs:
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings. CoRR abs/2007.02639 (2020) - [i8]Amirreza Mahbod, Philipp Tschandl, Georg Langs, Rupert Ecker, Isabella Ellinger:
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification. CoRR abs/2008.12602 (2020)
2010 – 2019
- 2019
- [j26]Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth:
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks. Medical Image Anal. 54: 30-44 (2019) - [j25]Marie Piraud, Markus Wennmann, Laurent Kintzelé, Jens Hillengass, Ulrich Keller, Georg Langs, Marc-André Weber, Björn H. Menze:
Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma. Medical Image Anal. 57: 214-225 (2019) - [j24]Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, Rene Donner, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. IEEE Trans. Medical Imaging 38(4): 1037-1047 (2019) - [j23]Andreas Holzinger, Georg Langs, Helmut Denk, Kurt Zatloukal, Heimo Müller:
Causability and explainability of artificial intelligence in medicine. WIREs Data Mining Knowl. Discov. 9(4) (2019) - [c86]Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth:
Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation. ISBI 2019: 605-609 - [c85]Daniel Sobotka, Roxane Licandro, Michael Ebner, Ernst Schwartz, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs:
Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI. SUSI/PIPPI@MICCAI 2019: 123-132 - [c84]Athena Taymourtash, Ernst Schwartz, Karl-Heinz Nenning, Daniel Sobotka, Mariana Diogo, Gregor Kasprian, Daniela Prayer, Georg Langs:
Quantifying Residual Motion Artifacts in Fetal fMRI Data. SUSI/PIPPI@MICCAI 2019: 171-180 - [i7]Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth:
Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation. CoRR abs/1901.08379 (2019) - [i6]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. CoRR abs/1905.12806 (2019) - 2018
- [c83]Roxane Licandro, Thomas Schlegl, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Georg Langs, Martin Kampel:
WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia. ICPR 2018: 3868-3873 - [c82]Matthias Perkonigg, Johannes Hofmanninger, Björn H. Menze, Marc-André Weber, Georg Langs:
Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning. DATRA/PIPPI@MICCAI 2018: 22-30 - [c81]Roxane Licandro, Johannes Hofmanninger, Marc-André Weber, Björn H. Menze, Georg Langs:
Predicting Future Bone Infiltration Patterns in Multiple Myeloma. Patch-MI@MICCAI 2018: 76-84 - [i5]Thomas Schlegl, Hrvoje Bogunovic, Sophie Klimscha, Philipp Seeböck, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth:
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images. CoRR abs/1805.03278 (2018) - [i4]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. CoRR abs/1806.08723 (2018) - [i3]Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, René Donner, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. CoRR abs/1810.13404 (2018) - 2017
- [j22]Sebastian F. Baumbach, Jakob Binder, Alexander Synek, Fabian G. Mück, Yan Chevalier, Ekkehard Euler, Georg Langs, Lukas Fischer:
Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models. BMC Medical Imaging 17(1): 23:1-23:9 (2017) - [j21]Karl-Heinz Nenning, Hesheng Liu, Satrajit S. Ghosh, Mert R. Sabuncu, Ernst Schwartz, Georg Langs:
Diffeomorphic functional brain surface alignment: Functional demons. NeuroImage 156: 456-465 (2017) - [j20]Wolf-Dieter Vogl, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Georg Langs:
Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images. IEEE Trans. Medical Imaging 36(9): 1773-1783 (2017) - [j19]Marie Bieth, Loïc Peter, Stephan G. Nekolla, Matthias Eiber, Georg Langs, Markus Schwaiger, Bjoern H. Menze:
Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration. IEEE Trans. Medical Imaging 36(11): 2276-2286 (2017) - [c80]Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. IPMI 2017: 146-157 - [c79]Ernst Schwartz, Karl-Heinz Nenning, Gregor Kasprian, Anna-Lisa Schuler, Lisa Bartha-Doering, Georg Langs:
Multivariate Manifold Modelling of Functional Connectivity in Developing Language Networks. IPMI 2017: 311-322 - [c78]Roxane Licandro, Karl-Heinz Nenning, Ernst Schwartz, Kathrin Kollndorfer, Lisa Bartha-Doering, Hesheng Liu, Georg Langs:
Assessing Reorganisation of Functional Connectivity in the Infant Brain. FIFI/OMIA@MICCAI 2017: 14-24 - [c77]Johannes Hofmanninger, Bjoern H. Menze, Marc-André Weber, Georg Langs:
Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates. DLMIA/ML-CDS@MICCAI 2017: 341-348 - [p4]Katharina Grünberg, András Jakab, Georg Langs, Tomas Salas Fernandez, Marianne Winterstein, Marc-André Weber, Markus Krenn, Oscar Alfonso Jiménez del Toro:
Ethical and Privacy Aspects of Using Medical Image Data. Cloud-Based Benchmarking of Medical Image Analysis 2017: 33-43 - [p3]Katharina Grünberg, Oscar Alfonso Jiménez del Toro, András Jakab, Georg Langs, Tomas Salas Fernandez, Marianne Winterstein, Marc-André Weber, Markus Krenn:
Annotating Medical Image Data. Cloud-Based Benchmarking of Medical Image Analysis 2017: 45-67 - [p2]Markus Krenn, Katharina Grünberg, Oscar Alfonso Jiménez del Toro, András Jakab, Tomàs Salas Fernandez, Marianne Winterstein, Marc-André Weber, Georg Langs:
Datasets Created in VISCERAL. Cloud-Based Benchmarking of Medical Image Analysis 2017: 69-84 - [p1]Oscar Alfonso Jiménez del Toro, Henning Müller, Antonio Foncubierta-Rodríguez, Georg Langs, Allan Hanbury:
Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark. Cloud-Based Benchmarking of Medical Image Analysis 2017: 127-141 - [e10]Allan Hanbury, Henning Müller, Georg Langs:
Cloud-Based Benchmarking of Medical Image Analysis. Springer 2017, ISBN 978-3-319-49642-9 [contents] - [e9]Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens:
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10081, Springer 2017, ISBN 978-3-319-61187-7 [contents] - [i2]Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. CoRR abs/1703.05921 (2017) - 2016
- [j18]Jing Wu, Sebastian M. Waldstein, Alessio Montuoro, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth:
Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease. Int. J. Biomed. Imaging 2016: 7468953:1-7468953:9 (2016) - [j17]Oscar Alfonso Jiménez del Toro, Henning Müller, Markus Krenn, Katharina Gruenberg, Abdel Aziz Taha, Marianne Winterstein, Ivan Eggel, Antonio Foncubierta-Rodríguez, Orcun Goksel, András Jakab, Georgios Kontokotsios, Georg Langs, Bjoern H. Menze, Tomas Salas Fernandez, Roger Schaer, Anna Walleyo, Marc-André Weber, Yashin Dicente Cid, Tobias Gass, Mattias P. Heinrich, Fucang Jia, Fredrik Kahl, Razmig Kéchichian, Dominic Mai, Assaf B. Spanier, Graham Vincent, Chunliang Wang, Daniel Wyeth, Allan Hanbury:
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. IEEE Trans. Medical Imaging 35(11): 2459-2475 (2016) - [c76]Johannes Hofmanninger, Markus Krenn, Markus Holzer, Thomas Schlegl, Helmut Prosch, Georg Langs:
Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data. MICCAI (1) 2016: 192-200 - [c75]Ernst Schwartz, Gregor Kasprian, András Jakab, Daniela Prayer, Veronika Schöpf, Georg Langs:
Modeling Fetal Cortical Expansion Using Graph-Regularized Gompertz Models. MICCAI (1) 2016: 247-254 - [c74]Ehsan Shahrian Varnousfaderani, Wolf-Dieter Vogl, Jing Wu, Bianca S. Gerendas, Christian Simader, Georg Langs, Sebastian M. Waldstein, Ursula Schmidt-Erfurth:
Geodesic denoising for optical coherence tomography images. Image Processing 2016: 97840K - [c73]Ehsan Shahrian Varnousfaderani, Wolf-Dieter Vogl, Jing Wu, Bianca S. Gerendas, Christian Simader, Georg Langs, Sebastian M. Waldstein, Ursula Schmidt-Erfurth:
Improve synthetic retinal OCT images with present of pathologies and textural information. Image Processing 2016: 97843V - [e8]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9601, Springer 2016, ISBN 978-3-319-42015-8 [contents] - [e7]Irina Rish, Georg Langs, Leila Wehbe, Guillermo A. Cecchi, Kai-min Kevin Chang, Brian Murphy:
Machine Learning and Interpretation in Neuroimaging - 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers. Lecture Notes in Computer Science 9444, Springer 2016, ISBN 978-3-319-45173-2 [contents] - [i1]Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Bianca S. Gerendas, René Donner, Thomas Schlegl, Ursula Schmidt-Erfurth, Georg Langs:
Identifying and Categorizing Anomalies in Retinal Imaging Data. CoRR abs/1612.00686 (2016) - 2015
- [j16]Dimitrios Markonis, Markus Holzer, Frederic Baroz, Rafael Luis Ruiz De Castaneda, Célia Boyer, Georg Langs, Henning Müller:
User-oriented evaluation of a medical image retrieval system for radiologists. Int. J. Medical Informatics 84(10): 774-783 (2015) - [j15]András Jakab, Gregor Kasprian, Ernst Schwartz, Gerlinde Maria Gruber, Christian Mitter, Daniela Prayer, Veronika Schöpf, Georg Langs:
Disrupted developmental organization of the structural connectome in fetuses with corpus callosum agenesis. NeuroImage 111: 277-288 (2015) - [c72]Marie Bieth, Rene Donner, Georg Langs, Markus Schwaiger, Bjoern H. Menze:
Anatomical triangulation: from sparse landmarks to dense annotation of the skeleton in CT images. BMVC 2015: 84.1-84.10 - [c71]Johannes Hofmanninger, Georg Langs:
Mapping visual features to semantic profiles for retrieval in medical imaging. CVPR 2015: 457-465 - [c70]Henning Müller, Oscar Alfonso Jiménez del Toro, Allan Hanbury, Georg Langs, Antonio Foncubierta-Rodríguez:
Overview of the First Workshop of Muldimodal Retrieval in the Medical Domain (MRMD 2015). MRDM@ECIR 2015: 1-7 - [c69]Oscar Alfonso Jiménez del Toro, Allan Hanbury, Georg Langs, Antonio Foncubierta-Rodríguez, Henning Müller:
Overview of the VISCERAL Retrieval Benchmark 2015. MRDM@ECIR 2015: 115-123 - [c68]Henning Müller, Oscar Alfonso Jiménez del Toro, Allan Hanbury, Georg Langs, Antonio Foncubierta-Rodríguez:
Workshop Multimodal Retrieval in the Medical Domain (MRMD) 2015. ECIR 2015: 834-837 - [c67]Wolf-Dieter Vogl, Sebastian M. Waldstein, Bianca S. Gerendas, Christian Simader, Ana-Maria Glodan, Dominika Podkowinski, Ursula Schmidt-Erfurth, Georg Langs:
Spatio-Temporal Signatures to Predict Retinal Disease Recurrence. IPMI 2015: 152-163 - [c66]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer Segmentation. IPMI 2015: 233-245 - [c65]Thomas Schlegl, Sebastian M. Waldstein, Wolf-Dieter Vogl, Ursula Schmidt-Erfurth, Georg Langs:
Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks. IPMI 2015: 437-448 - [c64]Karl-Heinz Nenning, Kathrin Kollndorfer, Veronika Schöpf, Daniela Prayer, Georg Langs:
Multi-subject Manifold Alignment of Functional Network Structures via Joint Diagonalization. IPMI 2015: 462-473 - [c63]Orcun Goksel, Antonio Foncubierta-Rodríguez, Oscar Alfonso Jiménez del Toro, Henning Müller, Georg Langs, Marc-André Weber, Bjoern H. Menze, Ivan Eggel, Katharina Gruenberg, Marianne Winterstein, Markus Holzer, Markus Krenn, Georgios Kontokotsios, Sokratis Metallidis, Roger Schaer, Abdel Aziz Taha, András Jakab, Tomas Salas Fernandez, Allan Hanbury:
Overview of the VISCERAL Challenge at ISBI 2015. VISCERAL Challenge@ISBI 2015: 6-11 - [c62]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Weidong Cai, Dimitris N. Metaxas:
Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015). MCV@MICCAI 2015: 3-9 - [c61]Markus Krenn, Matthias Dorfer, Oscar Alfonso Jiménez del Toro, Henning Müller, Bjoern H. Menze, Marc-André Weber, Allan Hanbury, Georg Langs:
Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations. MCV@MICCAI 2015: 103-115 - [c60]Georg Langs, Polina Golland, Satrajit S. Ghosh:
Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion. MICCAI (2) 2015: 313-320 - [c59]Alessio Montuoro, Christian Simader, Georg Langs, Ursula Schmidt-Erfurth:
Rotation invariant eigenvessels and auto-context for retinal vessel detection. Image Processing 2015: 94131F - [c58]Alexander Valentinitsch, Lukas Fischer, Janina Patsch, Jan Bauer, Franz Kainberger, Georg Langs, Matthew D. DiFranco:
Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT. Image Processing 2015: 94131D - [c57]Jing Wu, Sebastian M. Waldstein, Bianca S. Gerendas, Georg Langs, Christian Simader, Ursula Schmidt-Erfurth:
Automated retinal fovea type distinction in spectral-domain optical coherence tomography of retinal vein occlusion. Image Processing 2015: 94133D - [e6]Henning Müller, Oscar Alfonso Jiménez del Toro, Allan Hanbury, Georg Langs, Antonio Foncubierta-Rodríguez:
Multimodal Retrieval in the Medical Domain - First International Workshop, MRMD 2015, Vienna, Austria, March 29, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9059, Springer 2015, ISBN 978-3-319-24470-9 [contents] - 2014
- [j14]Eva Dittrich, Tammy Riklin Raviv, Gregor Kasprian, René 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. Medical Image Anal. 18(1): 9-21 (2014) - [j13]Georg Langs, Andrew Sweet, Danial Lashkari, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland:
Decoupling function and anatomy in atlases of functional connectivity patterns: Language mapping in tumor patients. NeuroImage 103: 462-475 (2014) - [j12]Florian Ganglberger, Florian Schulze, Laszlo Tirian, Alexey A. Novikov, Barry J. Dickson, Katja Bühler, Georg Langs:
Structure-Based Neuron Retrieval Across Drosophila Brains. Neuroinformatics 12(3): 423-434 (2014) - [c56]Liadh Kelly, Sebastian Dungs, Sascha Kriewel, Allan Hanbury, Lorraine Goeuriot, Gareth J. F. Jones, Georg Langs, Henning Müller:
Khresmoi Professional: Multilingual, Multimodal Professional Medical Search. ECIR 2014: 754-758 - [c55]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014). MCV 2014: 3-10 - [c54]Ernst Schwartz, András Jakab, Gregor Kasprian, Lilla Zöllei, Georg Langs:
A Locally Linear Method for Enforcing Temporal Smoothness in Serial Image Registration. STIA 2014: 13-24 - [c53]Thomas Schlegl, Joachim Ofner, Georg Langs:
Unsupervised Pre-training Across Image Domains Improves Lung Tissue Classification. MCV 2014: 82-93 - [c52]Wolf-Dieter Vogl, Helmut Prosch, Christina Müller-Mang, Ursula Schmidt-Erfurth, Georg Langs:
Longitudinal Alignment of Disease Progression in Fibrosing Interstitial Lung Disease. MICCAI (2) 2014: 97-104 - [c51]Alessio Montuoro, Jing Wu, Sebastian M. Waldstein, Bianca S. Gerendas, Georg Langs, Christian Simader, Ursula Schmidt-Erfurth:
Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry. MICCAI (2) 2014: 130-137 - [c50]Dimitrios Markonis, René Donner, Markus Holzer, Thomas Schlegl, Sebastian Dungs, Sascha Kriewel, Georg Langs, Henning Müller:
A Visual Information Retrieval System for Radiology Reports and the Medical Literature. MMM (2) 2014: 390-393 - [e5]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Zhuowen Tu:
Medical Computer Vision. Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8331, Springer 2014, ISBN 978-3-319-05529-9 [contents] - [e4]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8848, Springer 2014, ISBN 978-3-319-13971-5 [contents] - 2013
- [j11]Bjoern Holger Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi:
Whole-body anatomy localization via classification and regression forests. Medical Image Anal. 17(8): 1282 (2013) - [j10]René Donner, Bjoern H. Menze, Horst Bischof, Georg Langs:
Global localization of 3D anatomical structures by pre-filtered Hough Forests and discrete optimization. Medical Image Anal. 17(8): 1304-1314 (2013) - [c49]Allan Hanbury, Henning Müller, Georg Langs, Bjoern H. Menze:
Cloud-Based Evaluation Framework for Big Data. Future Internet Assembly 2013: 104-114 - [c48]Niraj Aswani, Thomas Beckers, Erich Birngruber, Célia Boyer, Andreas Burner, Jakub Bystron, Khalid Choukri, Sarah Cruchet, Hamish Cunningham, Jan Dedek, Ljiljana Dolamic, René Donner, Sebastian Dungs, Ivan Eggel, Antonio Foncubierta-Rodríguez, Norbert Fuhr, Adam Funk, Alba Garcia Seco de Herrera, Arnaud Gaudinat, Georgi Georgiev, Julien Gobeill, Lorraine Goeuriot, Paz Gomez, Robert Mark Greenwood, Manfred Gschwandtner, Allan Hanbury, Jan Hajic, Jaroslava Hlavácová, Markus Holzer, Gareth J. F. Jones, Blanca Jordan, Matthias Jordan, Klemens Kaderk, Franz Kainberger, Liadh Kelly, Sascha Kriewel, Marlene Kritz, Georg Langs, Nolan Lawson, Dimitrios Markonis, Iván Martínez, Vassil Momtchev, Alexandre Masselot, Hélène Mazo, Henning Müller, João R. M. Palotti, Pavel Pecina, Konstantin Pentchev, Deyan Peychev, Natalia Pletneva, Diana Pottecher, Angus Roberts, Patrick Ruch, Alexander Sachs, Matthias Samwald, Priscille Schneller, Veronika Stefanov, Miguel Angel Tinte, Zdenka Uresová, Alejandro Vargas, Dina Vishnyakova:
Khresmoi - Multilingual Semantic Search of Medical Text and Images. MedInfo 2013: 1266 - [c47]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Zhuowen Tu, Oscar Alfonso Jiménez del Toro:
Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013). MCV 2013: 3-10 - [c46]Matthias Dorfer, René Donner, Georg Langs:
Constructing an Un-biased Whole Body Atlas from Clinical Imaging Data by Fragment Bundling. MICCAI (1) 2013: 219-226 - [c45]Satrajit S. Ghosh, Anisha Keshavan, Georg Langs:
Predicting Treatment Response from Resting State fMRI Data: Comparison of Parcellation Approaches. PRNI 2013: 225-228 - [e3]Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi:
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7766, Springer 2013, ISBN 978-3-642-36619-2 [contents] - 2012
- [c44]Allan Hanbury, Henning Müller, Georg Langs, Marc-André Weber, Bjoern H. Menze, Tomas Salas Fernandez:
Bringing the Algorithms to the Data: Cloud-Based Benchmarking for Medical Image Analysis. CLEF 2012: 24-29 - [c43]Ernst Schwartz, Johannes Holfeld, Martin Czerny, Georg Langs:
Visualizing changes in vessel wall dynamics due to stent-grafting in the aortic arch. ISBI 2012: 788-791 - [c42]Georg Langs, Allan Hanbury, Bjoern H. Menze, Henning Müller:
VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions. MCBR-CDS 2012: 92-98 - [c41]René Donner, Bjoern H. Menze, Horst Bischof, Georg Langs:
Fast Anatomical Structure Localization Using Top-Down Image Patch Regression. MCV 2012: 133-141 - [e2]Georg Langs, Irina Rish, Moritz Grosse-Wentrup, Brian Murphy:
Machine Learning and Interpretation in Neuroimaging - International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions. Lecture Notes in Computer Science 7263, Springer 2012, ISBN 978-3-642-34712-2 [contents] - 2011
- [j9]Nikos Komodakis, Georg Langs, Horst Bischof, Nikos Paragios:
Special issue on Optimization for vision, graphics and medical imaging: Theory and applications. Comput. Vis. Image Underst. 115(12): 1597 (2011) - [j8]Georg Langs, Nikos Paragios, Pascal Desgranges, Alain Rahmouni, Hicham Kobeiter:
Learning deformation and structure simultaneously: In situ endograft deformation analysis. Medical Image Anal. 15(1): 12-21 (2011) - [j7]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) - [c40]Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland:
Learning an Atlas of a Cognitive Process in Its Functional Geometry. IPMI 2011: 135-146 - [c39]Sebastian Haas, Rene Donner, Andreas Burner, Markus Holzer, Georg Langs:
Superpixel-Based Interest Points for Effective Bags of Visual Words Medical Image Retrieval. MCBR-CDS 2011: 58-68 - [c38]Andreas Burner, Rene Donner, Marius Mayerhoefer, Markus Holzer, Franz Kainberger, Georg Langs:
Texture Bags: Anomaly Retrieval in Medical Images Based on Local 3D-Texture Similarity. MCBR-CDS 2011: 116-127 - [c37]René Donner, Sebastian Haas, Andreas Burner, Markus Holzer, Horst Bischof, Georg Langs:
Evaluation of Fast 2D and 3D Medical Image Retrieval Approaches Based on Image Miniatures. MCBR-CDS 2011: 128-138 - [e1]Bjoern H. Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi:
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6533, Springer 2011, ISBN 978-3-642-18420-8 [contents] - 2010
- [j6]Sebastian Zambanini, Robert Sablatnig, Harald Maier, Georg Langs:
Automatic image-based assessment of lesion development during hemangioma follow-up examinations. Artif. Intell. Medicine 50(2): 83-94 (2010) - [j5]Rene Donner, Georg Langs, Branislav Micusík, Horst Bischof:
Generalized sparse MRF appearance models. Image Vis. Comput. 28(6): 1031-1038 (2010) - [c36]Alexander Valentinitsch, Janina Patsch, Dirk Mueller, Franz Kainberger, Georg Langs:
Texture Analysis in Quantitative Osteoporosis Assessment. Bildverarbeitung für die Medizin 2010: 61-65 - [c35]Ernst Schwartz, Roman Gottardi, Johannes Holfeld, Christian Loewe, Martin Czerny, Georg Langs:
Evaluating deformation patterns of the thoracic aorta in gated CTA sequences. ISBI 2010: 21-24 - [c34]Alexander Valentinitsch, Janina Patsch, Dirk Mueller, Franz Kainberger, Georg Langs:
Texture analysis in quantitative osteoporosis assessment: characterizing microarchitecture. ISBI 2010: 1361-1364 - [c33]Rene Donner, Erich Birngruber, Helmut Steiner, Horst Bischof, Georg Langs:
Localization of 3D Anatomical Structures Using Random Forests and Discrete Optimization. MCV 2010: 86-95 - [c32]Georg Langs, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland:
Functional Geometry Alignment and Localization of Brain Areas. NIPS 2010: 1225-1233
2000 – 2009
- 2009
- [j4]Georg Langs, Philipp Peloschek, Horst Bischof, Franz Kainberger:
Automatic Quantification of Joint Space Narrowing and Erosions in Rheumatoid Arthritis. IEEE Trans. Medical Imaging 28(1): 151-164 (2009) - [c31]Ahmed Besbes, Nikos Komodakis, Georg Langs, Nikos Paragios:
Shape priors and discrete MRFs for knowledge-based segmentation. CVPR 2009: 1295-1302 - [c30]Radhouène Neji, Nikos Paragios, Gilles Fleury, Jean-Philippe Thiran, Georg Langs:
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information. CVPR 2009: 2168-2175 - [c29]Salma Essafi, Georg Langs, Nikos Paragios:
Hierarchical 3D diffusion wavelet shape priors. ICCV 2009: 1717-1724 - [c28]Aristeidis Sotiras, Nikos Komodakis, Georg Langs, Nikos Paragios:
Atlas-Based Deformable Mutual Population Segmentation. ISBI 2009: 5-8 - [c27]Salma Essafi, Georg Langs, Jean-François Deux, Alain Rahmouni, Guillaume Bassez, Nikos Paragios:
Wavelet-Driven Knowledge-Based MRI Calf Muscle Segmentation. ISBI 2009: 225-228 - [c26]Radhouène Neji, Georg Langs, Jean-François Deux, Mezri Maatouk, Alain Rahmouni, Guillaume Bassez, Gilles Fleury, Nikos Paragios:
Unsupervised Classification of Skeletal Fibers Using Diffusion Maps. ISBI 2009: 410-413 - [c25]Rene Donner, Horst Wildenauer, Horst Bischof, Georg Langs:
Weakly Supervised Group-Wise Model Learning Based on Discrete Optimization. MICCAI (1) 2009: 860-868 - [c24]Salma Essafi, Georg Langs, Nikos Paragios:
Left Ventricle Segmentation Using Diffusion Wavelets and Boosting. MICCAI (1) 2009: 919-926 - 2008
- [c23]Salma Essafi, Georg Langs, Nikos Paragios:
Sparsity, redundancy and optimal image support towards knowledge-based segmentation. CVPR 2008 - [c22]Georg Langs, Nikos Paragios:
Modeling the structure of multivariate manifolds: Shape maps. CVPR 2008 - [c21]Yuan Han, Georg Langs, Nikos Paragios:
Group-wise MDL based registration of small animals in video sequences. ISBI 2008: 1179-1182 - [c20]Georg Langs, Dimitris Samaras, Nikos Paragios, Jean Honorio, Nelly Alia-Klein, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein:
Task-Specific Functional Brain Geometry from Model Maps. MICCAI (1) 2008: 925-933 - 2007
- [j3]Georg Langs, Philipp Peloschek, Rene Donner, Horst Bischof:
Multiple appearance models. Pattern Recognit. 40(9): 2485-2495 (2007) - [c19]Rene Donner, Branislav Micusík, Georg Langs, Horst Bischof:
Sparse MRF Appearance Models for Fast Anatomical Structure Localisation. BMVC 2007: 1-10 - [c18]Lech Szumilas, Rene Donner, Georg Langs, Allan Hanbury:
Local Structure Detection with Orientation-invariant Radial Configuration. CVPR 2007 - [c17]Georg Langs, Nikos Paragios, Rene Donner, Pascal Desgranges, Alain Rahmouni, Hicham Kobeiter:
Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration. ICCV 2007: 1-8 - [c16]Rene Donner, Branislav Micusík, Georg Langs, Lech Szumilas, Philipp Peloschek, Klaus Friedrich, Horst Bischof:
Object Localization Based on Markov Random Fields and Symmetry Interest Points. MICCAI (2) 2007: 460-468 - [c15]Georg Langs, Rene Donner, Philipp Peloschek, Horst Bischof:
Robust Autonomous Model Learning from 2D and 3D Data Sets. MICCAI (1) 2007: 968-976 - [c14]James Cheong, Nathan Faggian, Georg Langs, David Suter, Flavia M. Cicuttini:
A comparision of model-based methods for knee cartilage segmentation. VISAPP (1) 2007: 290-295 - 2006
- [j2]Rene Donner, Michael Reiter, Georg Langs, Philipp Peloschek, Horst Bischof:
Fast Active Appearance Model Search Using Canonical Correlation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 28(10): 1690-1694 (2006) - [c13]Georg Langs, Philipp Peloschek, Rene Donner, Michael Reiter, Horst Bischof:
Active Feature Models. ICPR (1) 2006: 417-420 - [c12]Michael Reiter, Rene Donner, Georg Langs, Horst Bischof:
3D and Infrared Face Reconstruction from RGB data using Canonical Correlation Analysis. ICPR (1) 2006: 425-428 - [c11]Sebastian Zambanini, Georg Langs, Robert Sablatnig, Peter Donath, Harald Maier:
Automatic Surveying of Cutaneous Hemangiomas. ICPR (1) 2006: 1022-1025 - 2005
- [j1]Walter G. Kropatsch, Yll Haxhimusa, Zygmunt Pizlo, Georg Langs:
Vision pyramids that do not grow too high. Pattern Recognit. Lett. 26(3): 319-337 (2005) - [c10]Reinhard Beichel, Horst Bischof, Georg Langs, Milan Sonka:
A Robust Matching Algorithm for Active Appearance Models. Bildverarbeitung für die Medizin 2005: 355-359 - [c9]Georg Langs, Philipp Peloschek, Rene Donner, Horst Bischof:
A Clique of Active Appearance Models by Minimum Description Length. BMVC 2005 - [c8]Georg Langs, Philipp Peloschek, Horst Bischof:
Optimal Sub-Shape Models by Minimum Description Length. CVPR (2) 2005: 310-315 - 2004
- [c7]Georg Langs, Petia Radeva, David Rotger, Francesc Carreras:
Building and Registering Parameterized 3D Models of Vessel Trees for Visualization during Intervention. ICPR (3) 2004: 726-729 - 2003
- [c6]Paul Kammerer, Georg Langs, Robert Sablatnig, Ernestine Zolda:
Stroke Boundary Analysis for Identification of Drawing Tools. CIARP 2003: 408-415 - [c5]Georg Langs, Philipp Peloschek, Horst Bischof:
Determining Position and Fine Shape Detail in Radiological Anatomy. DAGM-Symposium 2003: 532-539 - [c4]Georg Langs, Philipp Peloschek, Horst Bischof:
ASM Driven Snakes in Rheumatoid Arthritis Assessment. SCIA 2003: 454-461 - [c3]Paul Kammerer, Georg Langs, Robert Sablatnig, Ernestine Zolda:
Stroke Segmentation in Infrared Reflectograms. SCIA 2003: 1138-1145 - 2002
- [c2]Yll Haxhimusa, Roland Glantz, Maamar Saib, Georg Langs, Walter G. Kropatsch:
Logarithmic Tapering Graph Pyramid. DAGM-Symposium 2002: 117-124 - [c1]Georg Langs, Horst Bischof, Walter G. Kropatsch:
Hierarchical Top Down Enhancement of Robust PCA. SSPR/SPR 2002: 234-242
Coauthor Index
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