11 citations · 21 across the 12 of their papers we have counts for
7 papers · 1 filter
ResNet Structure Simplification with the Convolutional Kernel Redundancy Measure
Hongzhi Zhu, Robert Rohling, Septimiu Salcudean
Deep learning, especially convolutional neural networks, has triggered accelerated advancements in computer vision, bringing changes into our daily practice. Furthermore, the stand…
The Kidneys Are Not All Normal: Investigating the Speckle Distributions of Transplanted Kidneys
Rohit Singla, Ricky Hu, Cailin Ringstrom +4
Modelling ultrasound speckle has generated considerable interest for its ability to characterize tissue properties. As speckle is dependent on the underlying tissue architecture, m…
The Open Kidney Ultrasound Data Set
Rohit Singla, Cailin Ringstrom, Grace Hu +4
Ultrasound, because of its low cost, non-ionizing, and non-invasive characteristics, has established itself as a cornerstone radiological examination. Research on ultrasound applic…
Quasi-Real Time Multi-Frequency 3D Shear Wave Absolute Vibro-Elastography (S-WAVE) System for Prostate
Tajwar Abrar Aleef, Julio Lobo, Ali Baghani +7
This article describes a novel quasi-real time system for quantitative and volumetric measurement of tissue elasticity in the prostate. Tissue elasticity is computed by using a loc…
Ultrafast Ultrasound Imaging for 3D Shear Wave Absolute Vibro-Elastography
Hoda S. Hashemi, Reza Zahiri Azar, Septimiu E. Salcudean +1
Shear wave absolute vibro-elastography (S-WAVE) is an imaging technique that generates steady-state shear waves inside the tissue using multi-frequency excitation from an external…
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images
Hongzhi Zhu, Robert Rohling, Septimiu Salcudean
Human visual attention has recently shown its distinct capability in boosting machine learning models. However, studies that aim to facilitate medical tasks with human visual atten…