Search results for "GME"

Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images

2022

Abstract Purpose Training deep neural networks usually require a large number of human-annotated data. For organ segmentation from volumetric medical images, human annotation is tedious and inefficient. To save human labour and to accelerate the training process, the strategy of annotation by iterative deep learning recently becomes popular in the research community. However, due to the lack of domain knowledge or efficient human-interaction tools, the current AID methods still suffer from long training time and high annotation burden. Methods We develop a contour-based annotation by iterative deep learning (AID) algorithm which uses boundary representation instead of voxel labels to incorp…

Identification of proprioceptive thalamocortical tracts in children: comparison of fMRI, MEG, and manual seeding of probabilistic tractography

2022

Publisher Copyright: © The Author(s) 2022. Published by Oxford University Press. Studying white matter connections with tractography is a promising approach to understand the development of different brain processes, such as proprioception. An emerging method is to use functional brain imaging to select the cortical seed points for tractography, which is considered to improve the functional relevance and validity of the studied connections. However, it is unknown whether different functional seeding methods affect the spatial and microstructural properties of the given white matter connection. Here, we compared functional magnetic resonance imaging, magnetoencephalography, and manual seedin…

Testing a spectral-based feature set for audio genre classification

2011

Automatic musical genre classification is an important information retrieval task since it can be applied for practical purposes such as the organization of data collections in the digital music industry. However, this task remains an open question because the current state of the art shows far from satisfactory outcomes in terms of classification performance. Moreover, the most common algorithms that are used for this task are not designed for modelling music perception. This study suggests a framework for testing different musical features for use in music genre classification and evaluates the performance of this task based on two musical descriptors. The focus of this study is on automa…

Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance

2022

Accurate sleep stage classification is vital to assess sleep quality and diagnose sleep disorders. Numerous deep learning based models have been designed for accomplishing this labor automatically. However, the class imbalance problem existing in polysomnography (PSG) datasets has been barely investigated in previous studies, which is one of the most challenging obstacles for the real-world sleep staging application. To address this issue, this paper proposes novel methods with signal-driven and image-driven ways of noise addition to balance the imbalanced relationship in the training dataset samples. We evaluate the effectiveness of the proposed methods which are integrated into a convolut…

Discrete element model for viscoelastic materials with brittle fracture : applications on glacier dynamics

2017

High-resolution, accurate multiple-reflection time-of-flight mass spectrometry for short-lived, exotic nuclei of a few events in their ground and low…

2019

Physical review / C covering nuclear physics 99(6), 064313 (2019). doi:10.1103/PhysRevC.99.064313

Luonnontieteellisin analyysimenetelmin tunnistettu Akseli Gallen-Kallelan väripaletti

2020

Artikkeli on kokonaisuudessaan ensimmäinen laatuaan Suomessa ja se esittelee tutkimuksen tuloksia koskien Akseli Gallen-Kallelan käyttämiä väriaineita. Tutkimusaineisto on läpileikkaus taiteilijan taiteellisesta tuotannosta vuosilta 1880–1929.  Se koostuu 265:stä maalauksesta ja 83:sta öljy- ja temperavärituubista. Tutkimuksessa käytetyt analyysimentelmät ovat ainetta tuhoamattomia luonnontieteellisiä analyysimenetelmiä: energiadispersiivinen röntgenfluoresenssi spektroskopia (EDXRF) ja polarisaatiomikroskopia (PLM).
  
 Avainsanat: Akseli Gallen-Kallela, taiteilijatarvike, väriaine, pigmentti, taiteen materiaalitutkimus, EDXRF, polarisaatiomikroskopia.

Investigating effects of reading medium and reading purpose on behavioral engagement and textual integration in a multiple text context

2019

Abstract The study addressed to what extent behavioral engagement and textual integration may differ when undergraduate readers work with identical printed versus digital texts in preparation for an exam versus for pleasure. We expected that working with printed texts would lead to greater engagement and better integration than working with digital texts, but that reading purpose would moderate this effect of reading medium because those reading in preparation for an exam would display greater engagement and better integration regardless of reading medium. Results showed interaction effects of reading medium with reading purpose on the behavioral engagement indicators of reading time and th…

Effects of reading real versus print-out versions of multiple documents on students? sourcing and integrated understanding

2018

Abstract This study investigated the extent to which students’ sourcing and comprehension can be supported by the reading of real, as opposed to print-out versions of multiple documents. It was found that the reading of real rather than print-out versions of multiple documents on the issue of climate change increased students’ memory for source information and made them include more specific references to document sources in argument essays that they wrote about the issue. In turn, such increased sourcing in essays mediated the positive effect of reading real versus print-out versions of documents on students’ construction of coherent representations of the documents’ content information. T…

Augmented Reality Applications: The Impact of Usability and Emotional Perceptions on Tourists’ App Experiences

2019

There is a rising amount of research contributing to the knowledgebase of Augmented Reality (AR) application usage. However, up until now there is no sound understanding about how the emotional perception of AR application users impact on different types of experience. This paper aspires to contribute to this gap by analysing the link between usability, emotional perception (i.e. entertainment, playfulness and enjoyment), two types of experience viz. action- and emotional experience and users’ intention to use the app in a travel context. 796 questionnaires show that emotional experience is driven by entertainment while action experience is mainly triggered by playfulness. However, only emo…