Ursula Schmidt-Erfurth

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 78

Top Topics

Diabetic Retinopathy

Optical Coherence Tomography

Disease Progression

Top Venues

IEEE Trans. Medical Imaging

Medical Imaging: Image Processing

Publications

Guilherme Aresta, Teresa Araújo, Botond Fazekas, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps. IEEE Access 12 (2024)
José Morano, Guilherme Aresta, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks. CoRR (2024)
Philipp Seeböck, José Ignacio Orlando, Martin Michl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection. Medical Image Anal. 93 (2024)
José Morano, Guilherme Aresta, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten
Specialist vision-language models for clinical ophthalmology. CoRR (2024)
Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data. IEEE Trans. Medical Imaging 43 (3) (2024)
Taha Emre, Arunava Chakravarty, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT. CoRR (2024)
Chengzhi Shen, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Paul Hager, Robbie Holland
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series. CoRR (2024)
Robbie Holland, Rebecca Kaye, Ahmed M. Hagag, Oliver Leingang, Thomas R. P. Taylor, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Daniel Rueckert, Andrew J. Lotery, Sobha Sivaprasad, Martin J. Menten
Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4). CoRR (2024)
Marzieh Oghbaie, Teresa Araujo, Taha Emre, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Transformer-based end-to-end classification of variable-length volumetric data. CoRR (2023)
Botond Fazekas, Dmitry A. Lachinov, Guilherme Aresta, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT. CoRR (2023)
Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Rebecca Kaye, Sophie Riedl, Johannes C. Paetzold, Ivan Ezhov, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration. MICCAI (7) (2023)
José Morano, Guilherme Aresta, Dmitry A. Lachinov, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation. MICCAI (4) (2023)
Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report. OMIA@MICCAI (2023)
Arunava Chakravarty, Taha Emre, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT. CoRR (2023)
José Morano, Guilherme Aresta, Dmitrii A. Lachinov, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation. CoRR (2023)
Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Johannes C. Paetzold, Rebecca Kaye, Sophie Riedl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Lars Fritsche, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration. CoRR (2023)
Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitrii A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs. CoRR (2023)
Marzieh Oghbaie, Teresa Araújo, Taha Emre, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Transformer-Based End-to-End Classification of Variable-Length Volumetric Data. MICCAI (6) (2023)
Michael Niederleithner, Luis de Sisternes, Heiko Stino, Aleksandra Sedova, Thomas Schlegl, Homayoun Bagherinia, Anja Britten, Philipp Matten, Ursula Schmidt-Erfurth, Andreas Pollreisz, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll
Ultra-Widefield OCT Angiography. IEEE Trans. Medical Imaging 42 (4) (2023)
Taha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes. MICCAI (2) (2022)
Robbie Holland, Oliver Leingang, Hrvoje Bogunovic, Sophie Riedl, Lars Fritsche, Toby Prevost, Hendrik P. N. Scholl, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
Metadata-enhanced contrastive learning from retinal optical coherence tomography images. CoRR (2022)
Taha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes. CoRR (2022)
Simon Schürer-Waldheim, Philipp Seeböck, Hrvoje Bogunovic, Bianca S. Gerendas, Ursula Schmidt-Erfurth
Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Botond Fazekas, Guilherme Aresta, Dmitry A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors. MICCAI (8) (2022)
Thomas Schlegl, Heiko Stino, Michael Niederleithner, Andreas Pollreisz, Ursula Schmidt-Erfurth, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll
Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images. CoRR (2022)
Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data. CoRR (2022)
Botond Fazekas, Dmitrii A. Lachinov, Guilherme Aresta, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification. CoRR (2022)
Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Blood vessel segmentation in en-face OCTA images: a frequency based method. Medical Imaging: Computer-Aided Diagnosis (2022)
Botond Fazekas, Guilherme Aresta, Dmitrii A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors. CoRR (2022)
Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Blood vessel segmentation in en-face OCTA images: a frequency based method. CoRR (2021)
David Linhardt, Maximilian Pawloff, Allan Hummer, Michael Woletz, Martin Tik, Markus Ritter, Ursula Schmidt-Erfurth, Christian Windischberger
Combining stimulus types for improved coverage in population receptive field mapping. NeuroImage 238 (2021)
Osama N. Hassan, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Andrew Lotery, Daniel Rueckert
Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography. ISBI (2021)
Dmitrii A. Lachinov, Philipp Seeböck, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. CoRR (2021)
Dmitrii A. Lachinov, Philipp Seeböck, Julia Mai, Felix Goldbach, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. MICCAI (1) (2021)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
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) (2020)
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) (2020)
David Romo-Bucheli, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging. IEEE J. Biomed. Health Informatics 24 (12) (2020)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
Rhona Asgari, José Ignacio Orlando, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography. MICCAI (1) (2019)
Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning. PRIME@MICCAI (2019)
Rhona Asgari, José Ignacio Orlando, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography. CoRR (2019)
Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic
Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning. CoRR (2019)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. CoRR (2019)
Hrvoje Bogunovic, Freerk G. Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan B. Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Waldstein, Bianca S. Gerendas, Caroline Klaver, Clara I. Sánchez, Ursula Schmidt-Erfurth
RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. IEEE Trans. Medical Imaging 38 (8) (2019)
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)
Rhona Asgari, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
U-Net with spatial pyramid pooling for drusen segmentation in optical coherence tomography. CoRR (2019)
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) (2019)
José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans. CoRR (2019)
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 (2019)
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 (2019)
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 (2019)
José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth
An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans. OMIA@MICCAI (2019)
Dominik Hofer, José Ignacio Orlando, Philipp Seeböck, Georgios Mylonas, Felix Goldbach, Amir Sadeghipour, Bianca S. Gerendas, Ursula Schmidt-Erfurth
Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning. OMIA@MICCAI (2019)
Rhona Asgari, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography. OMIA@MICCAI (2019)
José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans. CoRR (2019)
Mustafa Arikan, Amir Sadeghipour, Bianca S. Gerendas, Reinhard Told, Ursula Schmidt-Erfurth
Deep Learning Based Multi-modal Registration for Retinal Imaging. iMIMIC/ML-CDS@MICCAI (2019)
José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans. ISBI (2019)
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 (2018)
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 (2018)
Allan Hummer, Markus Ritter, Michael Woletz, A. A. Ledolter, Martin Tik, Serge O. Dumoulin, G. E. Holder, Ursula Schmidt-Erfurth, Christian Windischberger
Artificial scotoma estimation based on population receptive field mapping. NeuroImage 169 (2018)
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) (2017)
Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. CoRR (2017)
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)
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. Medical Imaging: Image Processing (2016)
Christoph Mitsch, Karsten Fehre, Sonja Prager, Christoph Scholda, Katharina Kriechbaum, Thomas Wrba, Ursula Schmidt-Erfurth
Clinical Decision Support for the Classification of Diabetic Retinopathy: A Comparison of Manual and Automated Results. eHealth (2016)
Ehsan Shahrian Varnousfaderani, Jing Wu, Wolf-Dieter Vogl, Ana-Maria Philip, Alessio Montuoro, Roland Leitner, Christian Simader, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth
A novel benchmark model for intelligent annotation of spectral-domain optical coherence tomography scans using the example of cyst annotation. Comput. Methods Programs Biomed. 130 (2016)
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 (2016)
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 (2016)
Allan Hummer, Markus Ritter, Martin Tik, A. A. Ledolter, Michael Woletz, G. E. Holder, Serge O. Dumoulin, Ursula Schmidt-Erfurth, Christian Windischberger
Eyetracker-based gaze correction for robust mapping of population receptive fields. NeuroImage 142 (2016)
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. Medical Imaging: Image Processing (2016)
Christoph Mitsch, Patrick Huber, Katharina Kriechbaum, Christoph Scholda, Georg Duftschmid, Thomas Wrba, Ursula Schmidt-Erfurth
Impact of Electronic Health Records on the Completeness of Clinical Documentation Generated during Diabetic Retinopathy Consultations. eHealth (2015)
Alessio Montuoro, Christian Simader, Georg Langs, Ursula Schmidt-Erfurth
Rotation invariant eigenvessels and auto-context for retinal vessel detection. Medical Imaging: Image Processing (2015)
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)
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. Medical Imaging: Image Processing (2015)
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)
Christoph Mitsch, Matthias Bolz, Stefan Sacu, Clemens Vass, Christoph Scholda, Patrick Huber, Stefan W. Sabutsch, Ursula Schmidt-Erfurth
OphthalNet Vienna: Constructive Quality Assurance and Resource Optimization in Ophthalmology. eHealth (2014)
Jing Wu, Bianca S. Gerendas, Sebastian M. Waldstein, Christian Simader, Ursula Schmidt-Erfurth
Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices. Medical Imaging: Image Processing (2014)
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)
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)
Patrick Huber, Christoph Mitsch, Stefan W. Sabutsch, Ursula Schmidt-Erfurth
Connecting Cloud-Based Personal Health Records with an XDS Affinity Domain to Provide Additional Information at the Point-of-Care. eHealth (2014)