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A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin.

, , , , , and . IEEE Trans. Image Processing, 26 (1): 172-184 (2017)

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Other publications of authors with the same name

Detection of the dermis/epidermis boundary in reflectance confocal images using multi-scale classifier with adaptive texture features., , , and . ISBI, page 492-495. IEEE, (2008)Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin., , , , , and . ICASSP, page 705-708. IEEE, (2012)Localizing the Dermis/Epidermis Boundary in Reflectance Confocal Microscopy Images with a Hybrid Classification Algorithm., , , and . ISBI, page 1322-1325. IEEE, (2009)A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images., , , , , , and . CoRR, (2018)A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin., , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 292-299. Springer, (2018)Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention., , , , , , and . CoRR, (2017)A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin., , , , , and . IEEE Trans. Image Processing, 26 (1): 172-184 (2017)Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks., , , , , , and . CVPR Workshops, page 777-785. IEEE Computer Society, (2017)