activity
20222026
most citedAdversarial Distortion Learning for Medical Image Denoising

10 citations · 11 across the 6 of their papers we have counts for

collaborators

7 papers

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…

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…

eess.IV2023★ 1 cited

Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition

Mohammad Khateri, Morteza Ghahremani, Alejandra Sierra +1

Three-dimensional electron microscopy (3DEM) is an essential technique to investigate volumetric tissue ultra-structure. Due to technical limitations and high imaging costs, sample…

eess.IV2022★ 10 cited

Adversarial Distortion Learning for Medical Image Denoising

Morteza Ghahremani, Mohammad Khateri, Alejandra Sierra +1

We present a novel adversarial distortion learning (ADL) for denoising two- and three-dimensional (2D/3D) biomedical image data. The proposed ADL consists of two auto-encoders: a d…

physics.med-ph2022

What Does FEXI Measure?

Mohammad Khateri, Marco Reisert, Alejandra Sierra +2

Filter-exchange imaging (FEXI) has already been utilized in several biomedical studies for evaluating the permeability of cell membranes. The method relies on suppressing the extra…