Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images

Segmentation-Based Fine Registration of Very High Resolution Multi-temporal Images  Abstract: In this paper, a segmentation-based approach to fine registration of multispectral and multitemporal very high resolution (VHR) images is proposed. The proposed approach aims at estimating and correcting the residual local misalignment [also referred to as registration noise (RN)] that often affects multitemporal VHR images […]


Residual De-Convolutional Networks for Brain Electron Microscopy Image Segmentation

Residual De-Convolutional Networks for Brain Electron Microscopy Image Segmentation Abstract: Accurate reconstruction of anatomical connections between neurons in the brain using electron microscopy (EM) images is considered to be the gold standard for circuit mapping. A key step in obtaining the reconstruction is the ability to automatically segment neurons with a precision close to human-level […]