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Mikołaj Buchwald

Mikołaj Buchwald
Poznań Supercomputing and Networking Center · Network Services Department

PhD

About

21
Publications
4,492
Reads
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157
Citations

Publications

Publications (21)
Article
Background Incidental extrapulmonary findings are commonly detected on chest CT scans and can be clinically important. Purpose To integrate artificial intelligence (AI)-based segmentation for multiple structures, coronary artery calcium (CAC), and epicardial adipose tissue with automated feature extraction methods and machine learning to detect ext...
Preprint
Full-text available
Background: Computed tomography attenuation correction (CTAC) scans are routinely obtained during cardiac perfusion imaging, but currently only utilized for attenuation correction and visual calcium estimation. We aimed to develop a novel artificial intelligence (AI)-based approach to obtain volumetric measurements of chest body composition from CT...
Article
Full-text available
Aims Transthoracic echocardiography is recommended in all patients with acute coronary syndrome but is time-consuming and lacks an evidence base. We aimed to assess the feasibility, diagnostic accuracy, and time efficiency of hand-held echocardiography in patients with acute coronary syndrome and describe the impact of echocardiography on clinical...
Preprint
Full-text available
Background While low-dose computed tomography scans are traditionally used for attenuation correction in hybrid myocardial perfusion imaging (MPI), they also contain additional anatomic and pathologic information not utilized in clinical assessment. We seek to uncover the full potential of these scans utilizing a holistic artificial intelligence (A...
Article
Full-text available
Pioneering nature of this work covers the answers to two questions: (1) Is an up to date anatomical model of the larynx needed for modern endoscopic diagnosis, and (2) If such a digital segmentation model can be utilized for deep learning purposes. The idea presented in this article has never been proposed before, and it is a breakthrough in numeri...
Article
Full-text available
The praxis representation network (PRN) of the left cerebral hemisphere is typically linked to the control of functional interactions with familiar tools. Surprisingly, little is known about the PRN engagement in planning and execution of tool-directed actions motivated by non-functional but purposeful action goals. Here we used functional neuroima...
Article
Full-text available
The ability to use complex tools is thought to depend on multifaceted motor-to-mechanical transformations within the left inferior parietal lobule (IPL), linked to cognitive control over compound actions. Here we show using neuroimaging that demanding transformations of finger movements into proper mechanical movements of functional parts of comple...
Chapter
It is by now a long-established fact that the European population is ageing. While this trend results largely from positive phenomena, it does come with a set of societal challenges. One of these challenges is making sure that the quality of life experienced by the growing population of elderly citizens remains as high as possible. The PELOSHA proj...
Article
Full-text available
Atypical representations of praxis and language were studied in two forms and combinations: bilateral organization, and right lateralization, independently for each function; when the atypically represented praxis dissociates from typically lateralized language; and when both praxis and language have atypical forms. Direct differences between bilat...
Article
Full-text available
Subjective experience and physiological activity are fundamental components of emotion. There is an increasing interest in the link between experiential and physiological processes across different disciplines, e.g., psychology, economics, or computer science. However, the findings largely rely on sample sizes that have been modest at best (limitin...
Article
Full-text available
The interaction between humans and computers is one of the most pressing challenges in contemporary society. Subtleties of this communication require that human-computer interfaces are conceptualized and tested by highly specialized experts. Here we describe a novel academic course for human-oriented designers and project managers, with the emphasi...
Article
Full-text available
While Liepmann was one of the first researchers to consider a relationship between skilled manual actions (praxis) and language for tasks performed “freely from memory”, his primary focus was on the relations between the organization of praxis and left-hemisphere dominance. Subsequent attempts to apply his apraxia model to all cases he studied – in...
Data
Using functional magnetic resonance imaging (fMRI), we studied links between manual praxis (planned and executed tool use pantomimes), language (in subvocal word generation task) and handedness in 125 participants, including righthanders (N=52), ambidextrous individuals (mixedhanders; N=31), and lefthanders (N=42). The tested sample included 64 fe...
Article
Full-text available
The performance of learned manual gestures (praxis) and the production of speech are thought to depend on related neural processes. If this relationship is not invoked by an unknown, third variable then shifts in their laterality, including dissociations of these two functions, would be unlikely unless the sharing of some neural resources with othe...
Conference Paper
Brain-computer interface (BCI) is used for non-muscular communication between the human brain and an external device. One of the most commonly utilized phenomena in BCI are steady-state visually evoked potentials (SSVEP) that are measured with electroencephalography (EEG). If the subject focuses his/her attention on the stimulus flashing with speci...
Conference Paper
Electrodermal activity (EDA) is commonly utilized as a tool for validating psychological constructs such as emotions, affect, or cognitive load. The assumptions underlying EDA signal usefulness for psychological research is still being debated. There is a need of one, coherent methodological framework which convincingly explains the correspondence...
Article
Full-text available
Brain-computer interface (BCI) is a device which allows paralyzed people to navigate a robot, prosthesis or wheelchair using only their own brains reactions. By creating a direct communication pathway between the human brain and a machine, without muscles contractions or activity from within the peripheral nervous system, BCI makes mapping persons...
Article
Objectives: We used multivoxel pattern analysis (MVPA) to investigate neural selectivity for grasp planning within the left-lateralized temporo-parieto-frontal network of areas (praxis representation network, PRN) typically associated with tool-related actions, as studied with traditional neuroimaging contrasts. Methods: We used data from 20 par...
Article
Full-text available
Ludzie najczęściej wykazują dominację prawej ręki w spontanicznym wykonywaniu drobnych codziennych czynności oraz dominację lewej półkuli w kontroli złożonych działań manualnych i w posługiwaniu się językiem. Jeśli te zachowania łączy wspólna specjalizacja w korze mózgowej, to powinny one być podobnie zorganizowane w mózgu bez względu na ręczność....
Article
Full-text available
In this paper we present Electromyography/Electrooculography (EMG/EOG) speller. It allows users to write sentences or phrases using blinking exclusively. Eye blinks are detected through simple threshold method. Moreover, the speller is comfortable to use. We based it on Open Source software available for free, as well as low-cost OpenBCI hardware....
Article
Full-text available
Electroencephalography allows recording the electrical activity of the brain. This method is used for diagnosis purposes as well as in brain-computer interfaces. Focusing on the brain-computer interface, it can be used to let the direct communication between the brain and a computing unit. This device is particularly useful for paralyzed patients o...

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