Shakiba Moradi

According to our database, Shakiba Moradi authored at least 4 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Cedalion Tutorial: A Python-based framework for comprehensive analysis of multimodal fNIRS & DOT from the lab to the everyday world.

Eike Middell, Laura Carlton, Shakiba Moradi, T. Codina, Thomas Fischer, J. Cutler, S. Kelley, J. Behrendt, T. Dissanayake, N. Harmening, Meryem A. Yücel, David A. Boas, Alexander von Lühmann

CoRR, January, 2026

2025

Improving Performance in fNIRS Single Trial Analysis: Multidisciplinary Opportunities and Perspective.

Alexander von Lühmann, Eike Middell, Thomas Fischer, Christian Tesch, Bilal Siddique, Bernhard B. Zimmermann, Shakiba Moradi, David A. Boas, Klaus-Robert Müller

Proceedings of the 13th International Conference on Brain-Computer Interface, 2025

2022

COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images.

Isaac Shiri, Hossein Arabi, Yazdan Salimi, Amirhossein Sanaat, Azadeh Akhavanallaf, Ghasem Hajianfar, Dariush Askari, Shakiba Moradi, Zahra Mansouri, Masoumeh Pakbin, Saleh Sandoughdaran, Hamid Abdollahi, Amir Reza Radmard, Kiara Rezaei-Kalantari, Mostafa Ghelich Oghli, Habib Zaidi

Int. J. Imaging Syst. Technol., 2022

2019

MFP-Unet: A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography.

Shakiba Moradi, Azin Alizadehasl, Jan Dhooge, Isaac Shiri, Niki Oveisi, Mehrdad Oveisi, Majid Maleki, Mostafa Ghelich Oghli

CoRR, 2019