134 citations · 370 across the 21 of their papers we have counts for
7 papers · 1 filter
A Fully Automatic Pipeline for 3D Dendrite Instance Segmentation in SBF-SEM
Zewen Zhuo, Ilya Belevich, Eija Jokitalo +2
Accurate three-dimensional (3D) reconstruction of individual dendrites in serial block-face scanning electron microscopy (SBF-SEM) is essential for quantifying structural plasticit…
Cross-Dataset Linkage of Brain MRI using Image Similarity Measures
Gaurang Sharma, Harri Polonen, Juha Pajula +2
Head magnetic resonance imaging (MRI) data are routinely collected and shared for research under strict regulatory frameworks that require the removal of direct identifiers prior t…
Segment Anything for Dendrites from Electron Microscopy
Zewen Zhuo, Ilya Belevich, Ville Leinonen +4
Segmentation of cellular structures in electron microscopy (EM) images is fundamental to analyzing the morphology of neurons and glial cells in the healthy and diseased brain tissu…
No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy
Mohammad Khateri, Morteza Ghahremani, Alejandra Sierra +1
The inability to acquire clean high-resolution (HR) electron microscopy (EM) images over a large brain tissue volume hampers many neuroscience studies. To address this challenge, w…
Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles
Olivier Rukundo, Andrea Behanova, Riccardo De Feo +3
Regular monitoring of the primary particles and purity profiles of a drug product during development and manufacturing processes is essential for manufacturers to avoid product var…
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning
Juan Miguel Valverde, Artem Shatillo, Jussi Tohka
We introduce Sauron, a filter pruning method that eliminates redundant feature maps of convolutional neural networks (CNNs). Sauron optimizes, jointly with the loss function, a reg…
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation
Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo +3
We present a fully convolutional neural network (ConvNet), named RatLesNetv2, for segmenting lesions in rodent magnetic resonance (MR) brain images. RatLesNetv2 architecture resemb…