Mehdi Eskandari

According to our database, Mehdi Eskandari authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

Data stream classification using a deep transfer learning method based on extreme learning machine and recurrent neural network.

Mehdi Eskandari, Hassan Khotanlou

Multim. Tools Appl., July, 2024

2023

Real-time mitral annulus segmentation from 4D transesophageal echocardiography using deep learning regression.

Patrick Carnahan, Apurva Bharucha, Mehdi Eskandari, Daniel Bainbridge, Elvis C. S. Chen, Terry M. Peters

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2021

DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling.

Patrick Carnahan, John Moore, Daniel Bainbridge, Mehdi Eskandari, Elvis C. S. Chen, Terry M. Peters

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019

Dynamic, patient-specific mitral valve modelling for planning transcatheter repairs.

Olivia K. Ginty, John T. Moore, Mehdi Eskandari, Patrick Carnahan, Andras Lasso, Matthew A. Jolley, Mark Monaghan, Terry M. Peters

Int. J. Comput. Assist. Radiol. Surg., 2019

A dynamic mitral valve simulator for surgical training and patient specific preoperative planning.

Nora Boone, John Moore, Olivia K. Ginty, Daniel Bainbridge, Mehdi Eskandari, Terry M. Peters

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Interactive-Automatic Segmentation and Modelling of the Mitral Valve.

Patrick Carnahan, Olivia K. Ginty, John Moore, Andras Lasso, Matthew A. Jolley, Christian Herz, Mehdi Eskandari, Daniel Bainbridge, Terry M. Peters

Proceedings of the Functional Imaging and Modeling of the Heart, 2019