6 citations · 12 across the 8 of their papers we have counts for
10 papers
ReLiCADA -- Reservoir Computing using Linear Cellular Automata Design Algorithm
Jonas Kantic, Fabian C. Legl, Walter Stechele +1
In this paper, we present a novel algorithm to optimize the design of Reservoir Computing using Cellular Automata models for time series applications. Besides selecting the models'…
Skeleton Graph-based Ultrasound-CT Non-rigid Registration
Zhongliang Jiang, Xuesong Li, Chenyu Zhang +3
Autonomous ultrasound (US) scanning has attracted increased attention, and it has been seen as a potential solution to overcome the limitations of conventional US examinations, suc…
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices
Nael Fasfous, Manoj-Rohit Vemparala, Alexander Frickenstein +2
Face masks have long been used in many areas of everyday life to protect against the inhalation of hazardous fumes and particles. They also offer an effective solution in healthcar…
L2PF -- Learning to Prune Faster
Manoj-Rohit Vemparala, Nael Fasfous, Alexander Frickenstein +6
Various applications in the field of autonomous driving are based on convolutional neural networks (CNNs), especially for processing camera data. The optimization of such CNNs is a…
Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback
Zhongliang Jiang, Zhenyu Li, Matthias Grimm +6
Ultrasound (US) imaging is widely employed for diagnosis and staging of peripheral vascular diseases (PVD), mainly due to its high availability and the fact it does not emit radiat…
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks
Alexander Frickenstein, Manoj-Rohit Vemparala, Nael Fasfous +4
Closing the gap between the hardware requirements of state-of-the-art convolutional neural networks and the limited resources constraining embedded applications is the next big cha…