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Julia Andresen
Julia Andresen
Wissenschaftliche Mitarbeiterin, Institut für Medizinische Informatik, Universität zu Lübeck
Bestätigte E-Mail-Adresse bei uni-luebeck.de
Titel
Zitiert von
Zitiert von
Jahr
Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies
J Andresen, T Kepp, J Ehrhardt, C Burchard, J Roider, H Handels
International Journal of Computer Assisted Radiology and Surgery 17 (4), 699-710, 2022
82022
Image registration and appearance adaptation in non-correspondent image regions for new ms lesions detection
J Andresen, H Uzunova, J Ehrhardt, T Kepp, H Handels
Frontiers in Neuroscience 16, 981523, 2022
52022
Epistemic and Aleatoric Uncertainty Estimation for PED, Segmentation in Home OCT Images
T Kepp, J Andresen, H Sudkamp, C von der Burchard, J Roider, ...
Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022
22022
Chronological Registration of OCT and Autofluorescence Findings in CSCR: Two Distinct Patterns in Disease Course
M Santarossa, A Tatli, C von der Burchard, J Andresen, J Roider, ...
Diagnostics 12 (8), 1780, 2022
12022
Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering
J Andresen, T Kepp, M Wang-Evers, J Ehrhardt, D Manstein, H Handels
Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022
12022
New multiple sclerosis lesion detection with convolutional neural registration networks
J Andresen, H Uzunova, J Ehrhardt, H Handels
MSSEG-2 Challenge Proceedings: Multiple Sclerosis New Lesions Segmentation …, 2021
12021
FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids
J Andresen, J Ehrhardt, C von der Burchard, A Tatli, J Roider, H Handels, ...
Medical Imaging with Deep Learning, 2024
2024
Shape-based segmentation of retinal layers and fluids in OCT image data
T Kepp, J Andresen, C von der Burchard, J Roider, G Hüttmann, ...
Medical Imaging 2023: Computer-Aided Diagnosis 12465, 208-217, 2023
2023
Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network
J Andresen, T Kepp, J Ehrhardt, C von der Burchard, J Roider, H Handels
International Workshop on Biomedical Image Registration, 3-7, 2022
2022
CNN-based joint non-correspondence detection and registration of retinal optical coherence tomography images
J Andresen, T Kepp, J Ehrhardt, C von der Burchard, J Roider, H Handels
2021
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