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Automatic Segmentation of Nuclei in Histopathology Images using Encoding-Decoding Convolutional Neural Networks

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Automatic Segmentation of Nuclei in Histopathology Images using Encoding-Decoding Convolutional Neural Networks

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STC-GAN: Spatio-Temporally Coupled Generative Adversarial Networks for Predictive Scene Parsing

TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation

Quantification in Musculoskeletal Imaging Using Computational Analysis and Machine Learning: Segmentation and Radiomics

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Probabilistic Atlases to Enforce Topological Constraints

Learning Approach to Delineation of Curvilinear Structures in 2D and 3D Images

Deep Semantic Segmentation Using Nir As Extra Physical Information

Historical newspaper semantic segmentation using visual and textual features

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution