Ursula Schmidt-Erfurth
Orcid: 0000-0002-7788-7311
According to our database1,
Ursula Schmidt-Erfurth
authored at least 62 papers
between 2014 and 2024.
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Bibliography
2024
Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks.
IEEE J. Biomed. Health Informatics, April, 2024
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data.
IEEE Trans. Medical Imaging, March, 2024
CoRR, 2024
Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps.
IEEE Access, 2024
2023
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification.
IEEE J. Biomed. Health Informatics, 2023
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.
CoRR, 2023
CoRR, 2023
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT.
CoRR, 2023
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images.
CoRR, 2022
Metadata-enhanced contrastive learning from retinal optical coherence tomography images.
CoRR, 2022
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Combining stimulus types for improved coverage in population receptive field mapping.
NeuroImage, 2021
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT.
CoRR, 2021
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT".
IEEE Trans. Medical Imaging, 2020
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.
IEEE Trans. Medical Imaging, 2020
End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging.
IEEE J. Biomed. Health Informatics, 2020
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.
J. Math. Imaging Vis., 2020
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.
J. Math. Imaging Vis., 2020
2019
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
Medical Image Anal., 2019
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems.
CoRR, 2019
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019
Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
NeuroImage, 2018
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images.
CoRR, 2018
2017
Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images.
IEEE Trans. Medical Imaging, 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
NeuroImage, 2016
Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease.
Int. J. Biomed. Imaging, 2016
A novel benchmark model for intelligent annotation of spectral-domain optical coherence tomography scans using the example of cyst annotation.
Comput. Methods Programs Biomed., 2016
Improve synthetic retinal OCT images with present of pathologies and textural information.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Clinical Decision Support for the Classification of Diabetic Retinopathy: A Comparison of Manual and Automated Results.
Proceedings of the Health Informatics Meets eHealth - Predictive Modeling in Healthcare - From Prediction to Prevention, 2016
2015
Automated retinal fovea type distinction in spectral-domain optical coherence tomography of retinal vein occlusion.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.
Proceedings of the Information Processing in Medical Imaging, 2015
Impact of Electronic Health Records on the Completeness of Clinical Documentation Generated during Diabetic Retinopathy Consultations.
Proceedings of the Health Informatics Meets eHealth, 2015
2014
Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Longitudinal Alignment of Disease Progression in Fibrosing Interstitial Lung Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
OphthalNet Vienna: Constructive Quality Assurance and Resource Optimization in Ophthalmology.
Proceedings of the Health Informatics Meets eHealth, 2014
Connecting Cloud-Based Personal Health Records with an XDS Affinity Domain to Provide Additional Information at the Point-of-Care.
Proceedings of the Health Informatics Meets eHealth, 2014