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Konrad Kania

dblp:274/6446 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2022
0000-0003-1545-0891ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Image and video coding · 74% Image and video processing · 13% Computational photography and imaging · 13%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Medical and health informatics · 100%
Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 100%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics
medical devices
0.612022
A wearable ultrasonic bladder monitoring device · MobiCom 2022
Health and well-being technologies › medical technology
wearable medical devices
0.612022
A wearable ultrasonic bladder monitoring device · MobiCom 2022
Image and video coding › transform coding
discrete cosine transform
0.512021
Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform · SenSys 2021
Image and video coding
transform coding
0.512021
Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform · SenSys 2021
Image and video processing
image reconstruction
0.212022
A wearable ultrasonic bladder monitoring device · MobiCom 2022
Computational photography and imaging › acoustic imaging
ultrasound imaging
0.212022
A wearable ultrasonic bladder monitoring device · MobiCom 2022
Medical and health informatics › medical image reconstruction
image reconstruction
0.112021
Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform · SenSys 2021
Medical and health informatics › medical imaging › ultrasound imaging
ultrasound tomography
0.112021
Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform · SenSys 2021

Methods — techniques the papers use, named apart from their topics

ultrasound imaging · 1.7reconstruction algorithms · 1.7discrete cosine transform · 1.0block-wise compression · 1.0
YearPublicationVenuePosition
2022 A wearable ultrasonic bladder monitoring device
abstract
Progress on the development of a wearable ultrasonic bladder monitoring device is reported. The device is intended to help in the diagnosis of urinary incontinence of both young and elderly patients. We present all the components of the device - the textile band, electronics, as well as the early results of reconstruction algorithms.
Bartlomiej Kiczek, Michal Golabek, Dariusz Wójcik, Konrad Kania, Edward Kozlowski, Tomasz Rymarczyk, Jan Sikora
MobiCom4
2021 Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform
abstract
The study aims to develop a measurement system for acquiring ultrasonic transmission tomography data. Along building the automated measurement system we test the algorithm which use incorporation of image compression into the process of reconstruction what speed up computation and simplifies regularization of the solution to the inverse problem of tomography. The reconstructive algorithm used in transmission tomography is based on the Discrete Cosine Transformation method. The algorithm applies image compression techniques for each block of the image separately, according to the conducted test such a solution seems to be much more robust than classical methods used for ultrasonic tomography. Presented work is a part of the research that aim for applying ultrasonic technology for analyse and visualise technological processes in distributed systems and in the next step for development of wearable equipment for monitoring in medicine.
Konrad Kania, Mariusz Mazurek, Tomasz Rymarczyk, Tomasz Cieplak, Grzegorz Klosowski, Konrad Gauda
SenSys1