activity
20182026
most citedEvaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge

74 citations · 262 across the 80 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

cs.RO2020

Fast and Robust Localization of Surgical Array using Kalman Filter

Md Ashikuzzaman, Noushin Jafarpisheh, Sunil Rottoo +2

Intraoperative tracking of surgical instruments is an inevitable task of computer-assisted surgery. An optical tracking system often fails to precisely reconstruct the dynamic loca…

eess.IV2020

Virtual Source Synthetic Aperture for Accurate Lateral Displacement Estimation in Ultrasound Elastography

Morteza Mirzaei, Amir Asif, Hassan Rivaz

Ultrasound elastography is an emerging noninvasive imaging technique wherein pathological alterations can be visualized by revealing the mechanical properties of the tissue. Estima…

eess.IV2020

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

Ali K. Z. Tehrani, Mina Amiri, Ivan M. Rosado-Mendez +2

Quantitative ultrasound (QUS) can reveal crucial information on tissue properties such as scatterer density. If the scatterer density per resolution cell is above or below 10, the…

eess.IV2020

Plane-Wave Ultrasound Beamforming Through Independent Component Analysis

Sobhan Goudarzi, Amir Asif, Hassan Rivaz

Beamforming in plane-wave imaging (PWI) is an essential step in creating images with optimal quality. Adaptive methods estimate the apodization weights from echo traces acquired by…

eess.IV2020

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

Ali K. Z. Tehrani, Morteza Mirzaei, Hassan Rivaz

Convolutional Neural Networks (CNN) have been found to have great potential in optical flow problems thanks to an abundance of data available for training a deep network. The displ…

eess.IV2020

Fine tuning U-Net for ultrasound image segmentation: which layers?

Mina Amiri, Rupert Brooks, Hassan Rivaz

Fine-tuning a network which has been trained on a large dataset is an alternative to full training in order to overcome the problem of scarce and expensive data in medical applicat…

eess.IV2020

Automatic Frame Selection using CNN in Ultrasound Elastography

Abdelrahman Zayed, Guy Cloutier, Hassan Rivaz

Ultrasound elastography is used to estimate the mechanical properties of the tissue by monitoring its response to an internal or external force. Different levels of deformation are…

eess.IV2020

Breast lesion segmentation in ultrasound images with limited annotated data

Bahareh Behboodi, Mina Amiri, Rupert Brooks +1

Ultrasound (US) is one of the most commonly used imaging modalities in both diagnosis and surgical interventions due to its low-cost, safety, and non-invasive characteristic. US im…