activity
20192023
most citedRatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation

27 citations · 52 across the 6 of their papers we have counts for

collaborators

7 papers

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…

cond-mat.soft2021★ 1 cited

Model-free approach to the interpretation of restricted and anisotropic self-diffusion in magnetic resonance of biological tissues

Omar Narvaez, Maxime Yon, Hong Jiang +4

Magnetic resonance imaging (MRI) is the method of choice for noninvasive studies of micrometer-scale structures in biological tissues via their effects on the time/frequency-depend…

cs.CV2020★ 27 cited

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…

cs.CV2019★ 13 cited

Cylindrical Shape Decomposition for 3D Segmentation of Tubular Objects

Ali Abdollahzadeh, Alejandra Sierra, Jussi Tohka

We develop a cylindrical shape decomposition (CSD) algorithm to decompose an object, a union of several tubular structures, into its semantic components. We decompose the object us…

eess.IV2019

Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks

Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo +3

Manual segmentation of rodent brain lesions from magnetic resonance images (MRIs) is an arduous, time-consuming and subjective task that is highly important in pre-clinical researc…