Ali Kafaei Zad Tehrani

According to our database, Ali Kafaei Zad Tehrani authored at least 14 papers between 2018 and 2023.

Collaborative distances:

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

2023

Exploiting Mechanics-Based Priors for Lateral Displacement Estimation in Ultrasound Elastography.

Md Ashikuzzaman, Ali Kafaei Zad Tehrani, Hassan Rivaz

IEEE Trans. Medical Imaging, November, 2023

Lateral Strain Imaging Using Self-Supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography.

Ali Kafaei Zad Tehrani, Md Ashikuzzaman, Hassan Rivaz

IEEE Trans. Medical Imaging, May, 2023

Infusing Physically Inspired Known Operators in Deep Models of Ultrasound Elastography.

Ali Kafaei Zad Tehrani, Hassan Rivaz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Homodyned K-Distribution: Parameter Estimation and Uncertainty Quantification Using Bayesian Neural Networks.

Ali Kafaei Zad Tehrani, Iván M. Rosado-Méndez, Hassan Rivaz

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Infusing known operators in convolutional neural networks for lateral strain imaging in ultrasound elastography.

Ali Kafaei Zad Tehrani, Hassan Rivaz

CoRR, 2022

Robust Scatterer Number Density Segmentation of Ultrasound Images.

Ali Kafaei Zad Tehrani, Iván M. Rosado-Méndez, Hassan Rivaz

CoRR, 2022

Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography.

Ali Kafaei Zad Tehrani, Hassan Rivaz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Estimation of Speckle Statistics Parametric Images.

Ali Kafaei Zad Tehrani, Iván M. Rosado-Méndez, Hassan Rivaz

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2020

Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics.

Ali Kafaei Zad Tehrani, Mina Amiri, Iván M. Rosado-Méndez, Timothy J. Hall, Hassan Rivaz

CoRR, 2020

Semi-supervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography.

Ali Kafaei Zad Tehrani, Morteza Mirzaei, Hassan Rivaz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Pilot Study on Scatterer Density Classification of Ultrasound Images Using Deep Neural Networks.

Ali Kafaei Zad Tehrani, Mina Amiri, Iván Rosado-Méndez, Timothy J. Hall, Hassan Rivaz

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Real-time and High Quality Ultrasound Elastography Using Convolutional Neural Network by Incorporating Analytic Signal.

Ali Kafaei Zad Tehrani, Mina Amiri, Hassan Rivaz

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Segmentation of Ultrasound Images based on Scatterer Density using U-Net.

Mina Amiri, Ali Kafaei Zad Tehrani, Hassan Rivaz

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018

Sound Source Localization Using Time Differences of Arrival; Euclidean Distance Matrices Based Approach.

Ali Kafaei Zad Tehrani, Bahador Makkiabadi, Ali Pourmohammad, Seyed Hani Hozhabr

Proceedings of the 9th International Symposium on Telecommunications, 2018