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Generating Highly Realistic Images of Skin Lesions with GANs.

, , and . OR 2.0/CARE/CLIP/ISIC@MICCAI, volume 11041 of Lecture Notes in Computer Science, page 260-267. Springer, (2018)

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Approximation of Geometric Dispersion Problems., and . Algorithmica, 30 (3): 451-470 (2001)Approximation of Geometric Dispersion Problems., and . APPROX, volume 1444 of Lecture Notes in Computer Science, page 63-75. Springer, (1998)SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI., , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 718-727. Springer, (2020)Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences., , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (7): 1319-1328 (2016)MelanoGANs: High Resolution Skin Lesion Synthesis with GANs., , and . CoRR, (2018)StainGAN: Stain Style Transfer for Digital Histological Images., , , and . CoRR, (2018)Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement., , , , and . CoRR, (2019)Robust navigation support in lowest dose image setting., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (2): 291-300 (2019)Auxiliary Manifold Embedding for Fully Convolutional Networks., , and . CoRR, (2017)Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation., , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 63-72. PMLR, (2019)