activity
20212026
most citedgACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy

20 citations · 47 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

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…

eess.IV2026

SomaNet: Weakly Supervised Learning for Instance Soma Segmentation in 3D Electron Microscopy with Partial Annotations

Mohammad Khateri, Morteza Ghahremani, Jussi Tohka +1

Soma instance segmentation, i.e., identifying and delineating individual cell somas as distinct instances, is crucial for cellular analysis and connectomic reconstruction. Three-di…

eess.IV2026

USFetal: Tools for Fetal Brain Ultrasound Compounding

Mohammad Khateri, Morteza Ghahremani, Sergio Valencia +5

Ultrasound offers a safe, cost-effective, and widely accessible technology for fetal brain imaging, making it especially suitable for routine clinical use. However, it suffers from…

eess.IV2025

MRI Super-Resolution with Deep Learning: A Comprehensive Survey

Mohammad Khateri, Serge Vasylechko, Morteza Ghahremani +9

High-resolution (HR) magnetic resonance imaging (MRI) is crucial for many clinical and research applications. However, achieving it remains costly and constrained by technical trad…

physics.med-ph2025★ 7 cited

Scattering approach to diffusion quantifies axonal damage in brain injury

Ali Abdollahzadeh, Ricardo Coronado-Leija, Hong-Hsi Lee +3

Early diagnosis and noninvasive monitoring of neurological disorders require sensitivity to elusive cellular-level alterations that occur much earlier than volumetric changes obser…

cs.CV2024★ 1 cited

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…

cs.CV2024

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…

physics.bio-ph2023★ 19 cited

Volume electron microscopy in injured rat brain validates white matter microstructure metrics from diffusion MRI

Ricardo Coronado-Leija, Ali Abdollahzadeh, Hong-Hsi Lee +8

Biophysical modeling of diffusion MRI (dMRI) offers the exciting potential of bridging the gap between the macroscopic MRI resolution and microscopic cellular features, effectively…

eess.IV2021★ 20 cited

gACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy

Andrea Behanova, Ali Abdollahzadeh, Ilya Belevich +3

Background and Objective: Advances in electron microscopy (EM) now allow three-dimensional (3D) imaging of hundreds of micrometers of tissue with nanometer-scale resolution, provid…