Zobrazeno 1 - 10 of 19 pro vyhledávání: '"Nikolaos Barotsis"'
1
Akademický článek
Generation of Musculoskeletal Ultrasound Images with Diffusion Models
Autor: Sofoklis Katakis, Nikolaos Barotsis, Alexandros Kakotaritis, Panagiotis Tsiganos, George Economou, Elias Panagiotopoulos, George Panayiotakis
Publikováno v: BioMedInformatics, Vol 3, Iss 2, Pp 405-421 (2023)
The recent advances in deep learning have revolutionised computer-aided diagnosis in medical imaging. However, deep learning approaches to unveil their full potential require significant amounts of data, which can be a challenging task in some scient
Externí odkaz: https://doaj.org/article/e8676b380681494e8d62034d18afe130
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2
Akademický článek
Musculoskeletal ultrasound publications in rehabilitation journals: A EURO-MUSCULUS/USPRM update
Autor: Timur Ekiz, Ayşe Merve Ata, Murat Kara, Eda Gürçay, Ke-Vin Chang, Merve Sekizkardeş, Simão Serrano, Nikolaos Barotsis, Alessandro Picelli, Daniele Coraci, Kamal Mezian, Nuray Akkaya, Tülay Tiftik, Elem Yorulmaz, Gülümser Aydın, Wei-Ting Wu, Mario Giraldo-Prieto, Levent Özçakar, Franco Franchignoni
Publikováno v: The Journal of the International Society of Physical and Rehabilitation Medicine, Vol 3, Iss 1, Pp 1-4 (2020)
Background: The utility of musculoskeletal ultrasound (US), both in the clinical settings and scientific arena, has significantly increased in recent years. Aims: The aim of this study was to report and analyze the publications on musculoskeletal US
Externí odkaz: https://doaj.org/article/52dc831432fe48988749fcd6088b47c0
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3
Akademický článek
Muscle Cross-Sectional Area Segmentation in Transverse Ultrasound Images Using Vision Transformers
Autor: Sofoklis Katakis, Nikolaos Barotsis, Alexandros Kakotaritis, Panagiotis Tsiganos, George Economou, Elias Panagiotopoulos, George Panayiotakis
Publikováno v: Diagnostics, Vol 13, Iss 2, p 217 (2023)
Automatically measuring a muscle’s cross-sectional area is an important application in clinical practice that has been studied extensively in recent years for its ability to assess muscle architecture. Additionally, an adequately segmented cross-se
Externí odkaz: https://doaj.org/article/5f1a55e9552f4a6288972e08b027ae9d
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5
Akademický článek
Automatic Extraction of Muscle Parameters with Attention UNet in Ultrasonography
Autor: Sofoklis Katakis, Nikolaos Barotsis, Alexandros Kakotaritis, George Economou, Elias Panagiotopoulos, George Panayiotakis
Publikováno v: Sensors, Vol 22, Iss 14, p 5230 (2022)
Automatically delineating the deep and superficial aponeurosis of the skeletal muscles from ultrasound images is important in many aspects of the clinical routine. In particular, finding muscle parameters, such as thickness, fascicle length or pennat
Externí odkaz: https://doaj.org/article/2c38f3b84a7a4648b8cdd169fc4da525
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8
Reliability of muscle thickness measurements in ultrasonography
Autor: George Panayiotakis, Elias Panagiotopoulos, Zinon T. Kokkalis, Panagiotis Tsiganos, Nikolaos Barotsis
Publikováno v: International Journal of Rehabilitation Research. 43:123-128
This study aims to clarify some of the issues associated with the reliable measurement of muscle thickness on ultrasonographic images of the musculoskeletal system, namely the repeatability of measurements in different time frames, the effect of body
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8848f2e7e0608212b08a4baa7cfde8e
https://doi.org/10.1097/mrr.0000000000000390
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9
Musculoskeletal Ultrasound Publications in Rehabilitation Journals
Autor: Franco Franchignoni, Ayşe Merve Ata, Mario Giraldo-Prieto, Tülay Tiftik, Merve Sekizkardeş, Simão Serrano, Kamal Mezian, Alessandro Picelli, Nuray Akkaya, Levent Özçakar, Timur Ekiz, Eda Gurcay, Wei-Ting Wu, Elem Yorulmaz, Ke-Vin Chang, Murat Kara, Nikolaos Barotsis, Daniele Coraci, Gülümser Aydin
Publikováno v: The Journal of the International Society of Physical and Rehabilitation Medicine, Vol 3, Iss 1, Pp 1-4 (2020)
Background: The utility of musculoskeletal ultrasound (US), both in the clinical settings and scientific arena, has significantly increased in recent years. Aims: The aim of this study was to report and analyze the publications on musculoskeletal US
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ead7d68dc931b90712ab419a8ca77204
https://doi.org/10.4103/jisprm.jisprm_1_20
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10
An Autoencoder Convolutional Neural Network Framework for Sarcopenia Detection Based on Multi-frame Ultrasound Image Slices
Autor: Emmanuel G. Pintelas, George Panayiotakis, Panagiotis Pintelas, Nikolaos Barotsis, Ioannis E. Livieris
Publikováno v: IFIP Advances in Information and Communication Technology
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.209-219, ⟨10.1007/978-3-030-79150-6_17⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030791490
AIAI
Part 7: Convolutional NN; International audience; Multi-Frame classification applications are constituted by instances composed by a package of image frames, such as videos, which frequently require very high computational re-sources. Furthermore, wh
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0bb1016df6f9cd32ead42e5bb96fa61
https://hal.inria.fr/hal-03287711/document
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