Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Michal Buk"'
Autor:
Michal Buk, Fabian Rengier, Theresa Mokry, Johannes Riffel, Evangelos Giannitsis, Lars Kihm, Hana Malikova, Hans-Ulrich Kauczor, Oyunbileg von Stackelberg, Tim Frederik Weber
Publikováno v:
Biomedical Papers, Vol 165, Iss 1, Pp 51-56 (2021)
Background and Aim. Assessment of appropriateness of CT pulmonary angiograms (CTPA) in patients with suspected pulmonary embolism (PE) is based on risk stratification algorithms such as simplified the Geneva Score (sGS) in combination with D-dimer bl
Externí odkaz:
https://doaj.org/article/dbe9c9b2289b4072a35903291fbf5121
Autor:
Josef Kroupa, Michal Buk, Jiri Weichet, Hana Malikova, Lucie Bartova, Hana Linkova, Oana Ionita, Martin Kozel, Zuzana Motovska, Viktor Kocka
Publikováno v:
EuroIntervention. 18:e639-e646
Intermediate-high risk acute pulmonary embolism (PE) remains associated with substantial mortality despite anticoagulation therapy.The aim of this randomised pilot study was to compare catheter-directed thrombolysis to standard anticoagulation therap
Publikováno v:
Archives of Orthopaedic and Trauma Surgery. 142:1865-1871
Functional results after internal fixation of trochanteric femoral fractures may be negatively affected by healing in a non-physiological position. The aim of this study was to evaluate the occurrence and severity of femoral malrotation after nailing
Autor:
Aleksandra Krawczyk, Alicja Goc, Airis Pellegrini, Natalia Jaguszewska, Brenda Olivos Salas, Michał Bukowski, Małgorzata Grodzińska-Jurczak
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36299- (2024)
The world faces an alarming plastic waste problem. The volume of plastic waste is rapidly and continuously increasing, mainly due to the single-use plastics overconsumption, whereas its recycling and utilization leave much to be desired. Despite the
Externí odkaz:
https://doaj.org/article/b2dda7f7bafa415c84d8fc9013699585
Autor:
Michal Bukowski, Benedykt Wladyka
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101899- (2024)
High-throughput quantification techniques provide considerable amounts of data. Making sense of such data requires not only thorough statistical analysis but a logical approach to data visualisation. DGE-ontology is software that has been primarily d
Externí odkaz:
https://doaj.org/article/cbc4667d37704fd2a272f943039e9244
Autor:
Aliaksandr Zhydzetski, Zuzanna Głowacka-Grzyb, Michal Bukowski, Tomasz Żądło, Emilia Bonar, Benedykt Władyka
Publikováno v:
Molecules, Vol 29, Iss 17, p 4065 (2024)
The cell wall is an indispensable element of bacterial cells and a long-known target of many antibiotics. Penicillin, the first discovered beta-lactam antibiotic inhibiting the synthesis of cell walls, was successfully used to cure many bacterial inf
Externí odkaz:
https://doaj.org/article/9286c63077d04ee8afebf4d33cbfaefe
Autor:
Michal Buk, Fabian Rengier, Theresa Mokry, Johannes Riffel, Evangelos Giannitsis, Lars Kihm, Hana Malikova, Hans-Ulrich Kauczor, Oyunbileg von Stackelberg, Tim Frederik Weber
Publikováno v:
Biomedical Papers, Vol 165, Iss 1, Pp 51-56 (2021)
Background and Aim. Assessment of appropriateness of CT pulmonary angiograms (CTPA) in patients with suspected pulmonary embolism (PE) is based on risk stratification algorithms such as simplified the Geneva Score (sGS) in combination with D-dimer bl
Autor:
Jarosław Kurek, Tomasz Latkowski, Michał Bukowski, Bartosz Świderski, Mateusz Łępicki, Grzegorz Baranik, Bogusz Nowak, Robert Zakowicz, Łukasz Dobrakowski
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2601 (2024)
In the evolving realities of recruitment, the precision of job–candidate matching is crucial. This study explores the application of Zero-Shot Recommendation AI Models to enhance this matching process. Utilizing advanced pretrained models such as a
Externí odkaz:
https://doaj.org/article/dd45e5169e6b45afba115b7346a39c98
Publikováno v:
Sensors, Vol 24, Iss 4, p 1092 (2024)
The advancement of machine learning in industrial applications has necessitated the development of tailored solutions to address specific challenges, particularly in multi-class classification tasks. This study delves into the customization of loss f
Externí odkaz:
https://doaj.org/article/fe8334c1b8fa4dd6940c12f24b6dc1da
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 71, Iss 6 (2023)
In this paper, we present an improved efficient capsule network (CN) model for the classification of the Kuzushiji-MNIST and Kuzushiji-49 benchmark datasets. CNs are a promising approach in the field of deep learning, offering advantages such as robu
Externí odkaz:
https://doaj.org/article/771192afdfca49f4933a70237858d68a