A projected landmark method for reduction of registration error in image-guided surgery systems. - Nasim Dadashi Serej; Alireza Ahmadian; Saeed Mohagheghi; Seyed Musa Sadrehosseini (Int. J. Comput. Assist. Radiol. Surg., 2015)

Incorporating prior shape knowledge via data-driven loss model to improve 3D liver segmentation in deep CNNs. - Saeed Mohagheghi; Amir Hossein Foruzan (Int. J. Comput. Assist. Radiol. Surg., 2020)

Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease. - Saeed Mohagheghi; Mehdi Alizadeh; Seyed Mahdi Safavi; Amir Hossein Foruzan; Yen-Wei Chen 001 (IEEE J. Biomed. Health Informatics, 2021)

Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images. - Saeed Mohagheghi; Amir Hossein Foruzan (Comput. Biol. Medicine, 2022)

Coordinate-based fast lightweight path search algorithm for electromagnetic navigation bronchoscopy. - Wenbin Wu; Wei Xia; Zhong Jun; Samaneh Saghatchi; Saeedeh Navaei Lavasani; Saeed Mohagheghi; Alireza Ahmadian; Xin Gao 003 (Medical Biol. Eng. Comput., 2023)