Now showing items 1-7 of 7

    • Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis 

      Cajanus, A; Hall, A; Koikkalainen, J; Solje, E; Tolonen, A; Urhemaa, T; Liu, Y; Haanpää, RM; Hartikainen, P; Helisalmi, S; Korhonen, V; Rueckert, D; Hasselbalch, S; Waldemar, G; Mecocci, P; Vanninen, R; van Gils, M; Soininen, H; Lötjönen, J; Remes, AM (S. Karger AG, 2018)
      Aims: We assessed the value of automated MRI quantification methods in the differential diagnosis of behavioral-variant frontotemporal dementia (bvFTD) from Alzheimer disease (AD), Lewy body dementia (LBD), and subjective ...
      Tieteelliset aikakauslehtiartikkelit

    • Comparison of feature representations in MRI-based MCI-to-AD conversion prediction 

      Gómez-Sancho, Marta; Tohka, Jussi; Gómez-Verdejo Vanessa (Elsevier BV, 2018)
      Alzheimer's disease (AD) is a progressive neurological disorder in which the death of brain cells causes memory loss and cognitive decline. The identification of at-risk subjects yet showing no dementia symptoms but who ...
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    • Data analytics approach to create waste generation profiles for waste management and collection 

      Niska, Harri; Serkkola, Ari (Elsevier BV, 2018)
      Extensive monitoring data on waste generation is increasingly collected in order to implement cost-efficient and sustainable waste management operations. In addition, geospatial data from different registries of the society ...
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    • Learning machine learning with very young children: Who is teaching whom? 

      Vartiainen, Henriikka; Tedre, Matti; Valtonen, Teemu (Elsevier BV, 2020)
      While artificial intelligence and machine learning is becoming a commonplace feature of people’s everyday lives, so far few theoretical or empirical studies have focused on investigating it in K-12​ education. Drawing on ...
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    • MIDAS: Open-source framework for distributed online analysis of data streams 

      Henelius, Andreas; Torniainen, Jari (Elsevier BV, 2018)
      Data streams are pervasive but implementing online analysis of streaming data is often nontrivial as data streams can have different, domain-specific formats. Regardless of the stream, the analysis task is essentially the ...
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    • Near infrared spectroscopy enables quantitative evaluation of human cartilage biomechanical properties during arthroscopy 

      Prakash, M; Joukainen, A; Torniainen, J; Honkanen, MKM; Rieppo, L; Afara, IO; Kröger, H; Töyräs, J; Sarin, JK (Elsevier BV, 2019)
      Objective To investigate the feasibility of near-infrared (NIR) spectroscopy (NIRS) for evaluation of human articular cartilage biomechanical properties during arthroscopy. Design A novel arthroscopic NIRS probe ...
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    • Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry 

      Valverde, JM; Imani, V; Lewis, JD; Tohka, J (Springer International Publishing, 2019)
      We propose a four-layer fully-connected neural network (FNN) for predicting fluid intelligence scores from T1-weighted MR images for the ABCD-challenge. In addition to the volumes of brain structures, the FNN uses cortical ...
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