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Ilangko Balasingham
Researcher at Norwegian University of Science and Technology
Publications - 301
Citations - 5332
Ilangko Balasingham is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Wireless sensor network & Wireless. The author has an hindex of 34, co-authored 277 publications receiving 4189 citations. Previous affiliations of Ilangko Balasingham include University of Oslo & Rikshospitalet–Radiumhospitalet.
Papers
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Journal ArticleDOI
Improving in-body ultra wideband communication using near-field coupling of the implanted antenna
Ali Khaleghi,Ilangko Balasingham +1 more
TL;DR: In this paper, the received energy density of the UWB signal in terms of the distance from the body surface of a human anatomy model is computed for field calculations, and it is shown that the energy coupling because of the nonradiative near-field of the body implanted antenna is dominant for the signal transmission.
Journal ArticleDOI
Ultrawideband technology in medicine: a survey
TL;DR: This paper surveys the own and related recent research on UWB technology for medical sensing and communications and some research perspectives in the aforementioned topics are suggested too.
Journal ArticleDOI
Peer-to-Peer Communication in Neuronal Nano-Network
TL;DR: An alternative representation of the neuron-to-neuron communication process is proposed, which should offer a complementary insight into the electrochemical signals propagation and should be useful for the design of a new communication technique for nano-networks and intrabody communications.
Proceedings ArticleDOI
Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better?
Hemin Ali Qadir,Younghak Shin,Johannes Solhusvik,Jacob Bergsland,Lars Aabakken,Ilangko Balasingham +5 more
TL;DR: Wang et al. as mentioned in this paper used Mask R-CNN and evaluated its performance with different modern convolutional neural networks (CNN) as its feature extractor for polyp detection and segmentation.
Journal ArticleDOI
Synaptic Communication Engineering for Future Cognitive Brain–Machine Interfaces
TL;DR: The overarching goal of this paper is to summarize the status of engineering research at the interface between the technology and the nervous system and direct the ongoing research toward the point where synaptically interactive BMIs can be embedded in the nervousSystem.