Marjan Firouznia

Postdoc

I am a postdoc researcher at CMIV, specializes in precise segmentation of the left atrium, epicardial fat, and fibrosis using CT and MRI.

Advancing Machine Learning Models for LA Fat and Fibrosis Segmentation

Our research is dedicated to advancing machine learning and deep learning models for accurately segmenting the left atrium, epicardial fat, and fibrosis in CT and MRI scans. This initiative aims to enhance diagnostic accuracy and optimize treatment planning in cardiovascular healthcare.

About me

CV

Employment

2022 Postdoc, Linkoping University in Sweden
2020-2021 Postdoctoral Researcher, Amirkabir University of Technology, Iran
2019-2020 Research Associate, Case Western Reserve University, Ohio, USA
2018-2019 Assistant Professor, Isfahan University, Iran
2017 Research Visit, Calabria University, Italy

Educational Background

2012-2017 Ph.D. of Electrical Engineering, Amirkabir University of Technology
2008 –2011 M.Sc. of Computer Engineering, Azad University of Qazvin
2003-2007 B.Sc. of Computer Engineering, Azad University of Najafabad

Publications

Marjan Firouznia, Markus Henningsson, Carljohan Carlhäll (2023)

FK-means: automatic atrial fibrosis segmentation using fractal-guided K-means clustering with Voronoi-clipping feature extraction of anatomical structures

Interface Focus, Dataset and code for "FK-means: Automatic Atrial Fibrosis Segmentation using Fractal-guided K-means Clustering with Voronoi-Clipping Feature Extraction of Anatomical Structures": FKmeans for fibrosis segmentation , Vol.13 Continue to DOI

2023

Marjan Firouznia, Markus Henningsson, Carl-Johan Carlhäll (2023) Dataset and code for "FK-means: Automatic Atrial Fibrosis Segmentation using Fractal-guided K-means Clustering with Voronoi-Clipping Feature Extraction of Anatomical Structures": FKmeans for fibrosis segmentation

Marjan Firouznia, Markus Henningsson, Carljohan Carlhäll (2023) FK-means: automatic atrial fibrosis segmentation using fractal-guided K-means clustering with Voronoi-clipping feature extraction of anatomical structures Interface Focus, Dataset and code for "FK-means: Automatic Atrial Fibrosis Segmentation using Fractal-guided K-means Clustering with Voronoi-Clipping Feature Extraction of Anatomical Structures": FKmeans for fibrosis segmentation, Vol. 13, Article 20230033 (Article in journal)

Continue to DOI

Coworkers

Carl-Johan Carlhäll

Professor

Organisation

Close up of three doctors dressed in surgical clothes. One stands with his back to the camera.

Division of Diagnostics and Specialist Medicine (DISP)

The division consists of three units (internal medicine, cardiovascular and radiological sciences) and contains seven subject areas within which research and teaching are conducted.

Department of Health, Medicine and Caring Sciences (HMV)

The research areas at HMV include experimental basic research to clinical, social and public health research. We conduct high-quality education in the sought-after care professions.

Faculty of Medicine and Health Sciences (MEDFAK)

The Faculty of Medicine and Health Sciences conducts research and education within medicine, healthcare and public health.