Search Results for author:
Found 7 papers, 4 papers with code
No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy
The inability to acquire clean high-resolution (HR) electron microscopy (EM) images over a large brain tissue volume hampers many neuroscience studies.
Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition
To overcome this limitation, we propose a novel deep-learning (DL)-based self-supervised super-resolution approach that computationally reconstructs isotropic 3DEM from the anisotropic acquisition.
Adversarial Distortion Learning for Medical Image Denoising
The proposed ADL consists of two auto-encoders: a denoiser and a discriminator.
Ranked #1 on
Color Image Denoising
on CBSD68 sigma35
gACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy
In this work, we introduce a freely available Matlab-based gACSON software for visualization, segmentation, assessment, and morphology analysis of myelinated axons in 3D-EM volumes of brain tissue samples.
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation
RatLesNetv2 obtained similar to higher Dice coefficient values than the other ConvNets and it produced much more realistic and compact segmentations with notably fewer holes and lower Hausdorff distance.
Cylindrical Shape Decomposition for 3D Segmentation of Tubular Objects
We develop a cylindrical shape decomposition (CSD) algorithm to decompose an object, a union of several tubular structures, into its semantic components.
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks
Several automatic methods have been developed for different human brain MRI segmentation, but little research has targeted automatic rodent lesion segmentation.
