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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
- 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]