61 citations · 157 across the 19 of their papers we have counts for
12 papers · 1 filter
On segmentation of pectoralis muscle in digital mammograms by means of deep learning
Hossein Soleimani, Oleg V. Michailovich
Computer-aided diagnosis (CAD) has long become an integral part of radiological management of breast disease, facilitating a number of important clinical applications, including qu…
Learning beamforming in ultrasound imaging
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov +3
Medical ultrasound (US) is a widespread imaging modality owing its popularity to cost efficiency, portability, speed, and lack of harmful ionizing radiation. In this paper, we demo…
High frame-rate cardiac ultrasound imaging with deep learning
Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov +5
Cardiac ultrasound imaging requires a high frame rate in order to capture rapid motion. This can be achieved by multi-line acquisition (MLA), where several narrow-focused received…
High quality ultrasonic multi-line transmission through deep learning
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov +5
Frame rate is a crucial consideration in cardiac ultrasound imaging and 3D sonography. Several methods have been proposed in the medical ultrasound literature aiming at acceleratin…
Towards CT-quality Ultrasound Imaging using Deep Learning
Sanketh Vedula, Ortal Senouf, Alex M. Bronstein +2
The cost-effectiveness and practical harmlessness of ultrasound imaging have made it one of the most widespread tools for medical diagnosis. Unfortunately, the beam-forming based i…
Spatially regularized reconstruction of fibre orientation distributions in the presence of isotropic diffusion
Q. Zhou, O. Michailovich, Y. Rathi
The connectivity and structural integrity of the white matter of the brain is nowadays known to be implicated into a wide range of brain-related disorders. However, it was not befo…
A New Similarity Measure for Non-Local Means Filtering of MRI Images
Sudipto Dolui, Alan Kuurstra, Iván C. Salgado Patarroyo +1
The acquisition of MRI images offers a trade-off in terms of acquisition time, spatial/temporal resolution and signal-to-noise ratio (SNR). Thus, for instance, increasing the time…
Image Segmentation Using Weak Shape Priors
Robert Sheng Xu, Oleg Michailovich, Magdy Salama
The problem of image segmentation is known to become particularly challenging in the case of partial occlusion of the object(s) of interest, background clutter, and the presence of…
Regularized Richardson-Lucy Algorithm for Sparse Reconstruction of Poissonian Images
Elad Shaked, Oleg Michailovich
Restoration of digital images from their degraded measurements has always been a problem of great theoretical and practical importance in numerous applications of imaging sciences.…
An Iterative Shrinkage Approach to Total-Variation Image Restoration
Oleg Michailovich
The problem of restoration of digital images from their degraded measurements plays a central role in a multitude of practically important applications. A particularly challenging…
Information tracking approach to segmentation of ultrasound imagery of prostate
Robert Sheng Xu, Oleg Michailovich, Magdy Salama
The size and geometry of the prostate are known to be pivotal quantities used by clinicians to assess the condition of the gland during prostate cancer screening. As an alternative…
Iterative Shrinkage Approach to Restoration of Optical Imagery
E. Shaked, O. Michailovich
The problem of reconstruction of digital images from their degraded measurements is regarded as a problem of central importance in various fields of engineering and imaging science…