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Rate-Regularization and Generalization in VAEs
Deep Representation Learning for Complex Medical Images
Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)
Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy
Facilitating the Adoption of Reflectance Confocal Microscopy (RCM) in Clinical Cancer Care Practice with Machine Learning
Structured Disentagled Representations
Can VAEs generate novel examples?
A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin
A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images
Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention
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