Julia Andresen

According to our database, Julia Andresen authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Don't Mind the Gaps: Implicit Neural Representations for Resolution-Agnostic Retinal OCT Analysis.

Bennet Kahrs, Julia Andresen, Fenja Falta, Monty Santarossa, Heinz Handels, Timo Kepp

CoRR, January, 2026

Interpretable Mediastinal Lymph Node Station Classification and N-staging on CT and PET/CT Images.

Sofija Engelson, Jan Ehrhardt, Yannic Elser, Malte Maria Sieren, Julia Andresen, Stefanie Schierholz, Tobias Keck, Daniel Drömann, Jörg Barkhausen, Heinz Handels

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

Visual Acuity Assessment from Uni- and Multimodal Retinal Image Data using the Foundation Model MIRAGE.

Caroline von Dresky, Claus von der Burchard, Monty Santarossa, Julia Andresen, Marc S. Seibel, Timo Kepp, Johann Roider, Heinz Handels

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

Pathology-aware Implicit Neural Registration for Change Analysis in Retinal OCT Data - FRINR.

Julia Andresen, Bennet Kahrs, Heinz Handels, Timo Kepp

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

2025

Bridging Gaps in Retinal Imaging - Fusing OCT and SLO Information with Implicit Neural Representations for Improved Interpolation and Segmentation.

Timo Kepp, Julia Andresen, Fenja Falta, Heinz Handels

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024

FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids.

Julia Andresen, Jan Ehrhardt, Claus von der Burchard, Ayse Tatli, Johann Roider, Heinz Handels, Hristina Uzunova

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

Shape-based segmentation of retinal layers and fluids in OCT image data.

Timo Kepp, Julia Andresen, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Heinz Handels

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Abstract: Shape-based Segmentation of Retinal Layers and Fluids in OCT Image Data.

Timo Kepp, Julia Andresen, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Heinz Handels

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies.

Julia Andresen, Timo Kepp, Jan Ehrhardt, Claus von der Burchard, Johann Roider, Heinz Handels

Int. J. Comput. Assist. Radiol. Surg., 2022

Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network.

Julia Andresen, Timo Kepp, Jan Ehrhardt, Claus von der Burchard, Johann Roider, Heinz Handels

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Epistemic and Aleatoric Uncertainty Estimation for PED, Segmentation in Home OCT Images.

Timo Kepp, Julia Andresen, Helge Sudkamp, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Jan Ehrhardt, Heinz Handels

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering.

Julia Andresen, Timo Kepp, Michael Wang-Evers, Jan Ehrhardt, Dieter Manstein, Heinz Handels

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022