Uncertainty Estimation for Deep Learning-Based Segmentation of Roads in Synthetic Aperture Radar Imagery

An End-To-End Bayesian Segmentation Network Based on a Generative Adversarial Network for Remote Sensing Images

(2020) Dehui Xiong et al.   Remote Sensing

Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state‐of‐art applications

(2020) Hyunseok Seo et al.   MEDICAL PHYSICS

Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks

(2019) Patrick McClure et al.   Frontiers in Neuroinformatics

Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation

(2019) Yongchan Kwon et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning

(2018) Ronald Kemker et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Road Segmentation in SAR Satellite Images With Deep Fully Convolutional Neural Networks

(2018) Corentin Henry et al.   IEEE Geoscience and Remote Sensing Letters

Bayesian Fusion of Multi-Scale Detectors for Road Extraction from SAR Images

(2017) Rui Xu et al.   ISPRS International Journal of Geo-Information

Leveraging uncertainty information from deep neural networks for disease detection

(2017) Christian Leibig et al.   Scientific Reports

Improving SAR-Based Urban Change Detection by Combining MAP-MRF Classifier and Nonlocal Means Similarity Weights

(2014) Osama Yousif et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

SAR Image Segmentation Using Voronoi Tessellation and Bayesian Inference Applied to Dark Spot Feature Extraction

(2013) Quanhua Zhao et al.   SENSORS