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Disambiguation of "Kepp, Timo"

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

, , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)

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Bernhard Kepp

Richard Kepp

Oliver Kepp

Bernhard Kepp

Richard Kepp

 

Other publications of authors with the same name

Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations., , , , , , and . Bildverarbeitung für die Medizin, page 81. Springer, (2024)Overcoming the sensor delta for semantic segmentation in OCT images., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Epistemic and Aleatoric Uncertainty Estimation for PED, Segmentation in Home OCT Images., , , , , , , and . Bildverarbeitung für die Medizin, page 32-37. Springer, (2022)Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network., , , , , and . WBIR, volume 13386 of Lecture Notes in Computer Science, page 3-7. Springer, (2022)Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks., , , , and . ISBI, page 1437-1440. IEEE, (2019)Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders., , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094911. SPIE, (2019)Shape-based segmentation of retinal layers and fluids in OCT image data., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 17 (4): 699-710 (2022)Abstract: Shape-based Segmentation of Retinal Layers and Fluids in OCT Image Data., , , , , and . Bildverarbeitung für die Medizin, page 11. Springer, (2023)Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering., , , , , and . Bildverarbeitung für die Medizin, page 1-6. Springer, (2022)