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MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking loss.

, , , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)

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MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking loss., , , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (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)Epistemic and Aleatoric Uncertainty Estimation for PED, Segmentation in Home OCT Images., , , , , , , and . Bildverarbeitung für die Medizin, page 32-37. Springer, (2022)Segmentation of retinal low-cost optical coherence tomography images using deep learning., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning., , , , , , , , and . Bildverarbeitung für die Medizin, page 183. Springer, (2020)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)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)