2 citations · 2 across the 4 of their papers we have counts for
4 papers
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans
Niloufar Delfan, Hamid Abrishami Moghaddam, Mohammadreza Modaresi +5
Segmentation of lung tissue in computed tomography (CT) images is a precursor to most pulmonary image analysis applications. Semantic segmentation methods using deep learning have…
Incremental Nonparametric Weighted Feature Extraction for OnlineSubspace Pattern Classification
Hamid Abrishami Moghaddam, Elaheh Raisi
In this paper, a new online method based on nonparametric weighted feature extraction (NWFE) is proposed. NWFE was introduced to enjoy optimum characteristics of linear discriminan…
Finite Element Method Based Modeling of Cardiac Deformation Estimation under Abnormal Ventricular Muscle Conditions
Ahmadreza Baghaie, Hamid Abrishami Moghaddam
Deformation modeling of cardiac muscle is an important issue in the field of cardiac analysis. Many approaches have been developed to better estimate the cardiac muscle deformation…
A consistent model for cardiac deformation estimation under abnormal ventricular muscle conditions
Ahmadreza Baghaie, Hamid Abrishami Moghaddam
Deformation modeling of cardiac muscle is an important issue in the field of cardiac analysis. For this reason, many approaches have been developed to best estimate the cardiac mus…