Viser treff 138-157 av 389

    • H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images 

      Pedersen, André; Smistad, Erik; Rise, Tor Vikan; Dale, Vibeke Grotnes; Pettersen, Henrik P Sahlin; Nordmo, Tor-Arne Schmidt; Bouget, David Nicolas Jean-Mar; Reinertsen, Ingerid; Valla, Marit (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-09-14)
      Over the past decades, histopathological cancer diagnostics has become more complex, and the increasing number of biopsies is a challenge for most pathology laboratories. Thus, development of automatic methods for evaluation of histopathological cancer sections would be of value. In this study, we used 624 whole slide images (WSIs) of breast cancer from a Norwegian cohort. We propose a cascaded ...
    • Health research requires efficient platforms for data collection from personal devices 

      Johannessen, Erlend; Henriksen, André; Årsand, Eirik; Horsch, Alexander; Johansson, Jonas; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      Data from consumer-based devices for collecting personal health-related data could be useful in diagnostics and treatment. This requires a flexible and scalable software and system architecture to handle the data. This study examines the existing mSpider platform, addresses shortcomings in security and development, and suggests a full risk analysis, a more loosely coupled component- based system for ...
    • A Health-Energy Nexus Perspective for Virtual Power Plants: Power Systems Resiliency and Pandemic Uncertainty Challenges 

      Mishra, Sambeet; Bordin, Chiara (Chapter; Bokkapittel, 2022-01-01)
      This chapter introduces and discusses a novel “health-energy nexus under pandemic uncertainty” concept that arises as a consequence of the current pandemic that we are experiencing worldwide. In light of the pandemic implications on the power and energy systems, we discuss how the global health conditions are tightly connected with the energy consumption needs and how the two areas closely interact ...
    • HealthTrust: A Social Network Approach for Retrieving Online Health Videos 

      Fernandez-Luque, Luis; Karlsen, Randi; Melton, Genevieve B (Journal article; Tidsskriftartikkel; Peer reviewed, 2012)
      Background: Social media are becoming mainstream in the health domain. Despite the large volume of accurate and trustworthy health information available on social media platforms, finding good-quality health information can be difficult. Misleading health information can often be popular (eg, antivaccination videos) and therefore highly rated by general search engines. We believe that community ...
    • Highly efficient and scalable framework for high-speed super-resolution microscopy 

      Do, Quan; Acuña Maldonado, Sebastian Andres; Kristiansen, Jon Ivar; Agarwal, Krishna; Ha, Hoai Phuong (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-05)
      The multiple signal classification algorithm (MUSICAL) is a statistical super-resolution technique for wide-field fluorescence microscopy. Although MUSICAL has several advantages, such as its high resolution, its low computational performance has limited its exploitation. This paper aims to analyze the performance and scalability of MUSICAL for improving its low computational performance. We first ...
    • The House of Carbs: Personalized Carbohydrate Dispenser for People with Diabetes 

      Randine, Pietro; Micucci, Daniela; Hartvigsen, Gunnar; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
      Patients with diabetes are often worried about having low blood glucose because of the unpleasant feeling and possible dangerous situations this can lead to. This can make patients consume more carbohydrates than necessary. Ad-hoc carbohydrate estimation and dosing by the patients can be unreliable and may produce unwanted periods of high blood glucose. In this paper we present a system that ...
    • How mHealth can facilitate collaboration in diabetes care: qualitative analysis of codesign workshops 

      Bradway, Meghan; Morris, Rebecca L.; Giordanengo, Alain; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-30)
      <i>Background</i> - Individuals with diabetes are using mobile health (mHealth) to track their self-management. However, individuals can understand even more about their diabetes by sharing these patient-gathered data (PGD) with health professionals. We conducted experience-based co-design (EBCD) workshops, with the aim of gathering end-users’ needs and expectations for a PGD-sharing system.<p> ...
    • How to apply for a professorship at Norwegian Universities and University Colleges 

      Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel, 2015-05)
      An employee in an academic position has to do at least three different tasks: research, teaching and research dissemination. In addition come administrative duties. These tasks draw on different skills that all should be documented in an application for an academic position. Unfortunately, only a minority is writing their applications so that their total competence is documented. A good application ...
    • How to become a professor before you turn 40? (Alternatively – How to become a professor?) 

      Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel, 2015-05)
      In Norway, where all associate professors (“førsteamanuensis”) who are qualified as a (full) professor are offered a personal professorship, it is no other than the associate professor him/herself who stands in the way of the Professor title. This article reviews 12 success criteria in order to achieve qualifications as (full) professor: (1) Accept professional challenges, (2) always consider ...
    • Hvordan bli professor før du er 40? (Alternativt – Hvordan bli professor?) 

      Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel, 2015-05)
      Med den norske opprykksordningen hvor alle med professorkompetanse gis et personlig professorat, så er det ingen andre enn den vitenskapelig ansatte selv som står i veien for professortittelen. I denne artikkelen gjennomgås 12 suksesskriterier for å oppnå professorkompetanse: (1) Ta imot faglige utfordringer; (2) tenk publisering; (3) barn bør ta tid; (4) begrens forelesningsforberedelser; (5) ha ...
    • HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy 

      Borgli, Hanna; Thambawita, Vajira; Smedsrud, Pia H; Hicks, Steven; Jha, Debesh; Eskeland, Sigrun Losada; Randel, Kristin Ranheim; Pogorelov, Konstantin; Lux, Mathias; Dang Nguyen, Duc Tien; Johansen, Dag; Griwodz, Carsten; Stensland, Håkon Kvale; Garcia-Ceja, Enrique; Schmidt, Peter T; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-28)
      Artificial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and lack of medical personnel for the cumbersome and tedious process to manually label training data. These constraints make it difficult to develop systems for automatic analysis, like detecting disease or other lesions. In this respect, this article ...
    • Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence 

      Storås, Andrea; Magnø, Morten Schjerven; Fineide, Fredrik; Thiede, Bernd; Chen, Xiangjun; Strumke, Inga; Halvorsen, Pål; Utheim, Tor Paaske; Riegler, Michael Alexander; Jensen, Janicke L.; Galtung, Hilde (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-17)
      Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear film lipid layer, studying the expression of tear proteins might increase the understanding of the etiology of the condition. Machine learning is able to detect patterns in ...
    • Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy 

      Somani, Ayush; Banerjee, Pragyan; Rastogi, Manu; Habib, Anowarul; Agarwal, Krishna; Prasad, Dilip Kumar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-14)
      Scanning Acoustic Microscopy (SAM) uses high-frequency acoustic waves to generate non-ionizing, label-free images of the surface and internal structures of industrial objects and biological specimens. The resolution of SAM images is limited by several factors such as the frequency of excitation signals, the signal-to-noise ratio, and the pixel size. We propose to use a hypergraphs image inpainting ...
    • Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy 

      Somani, Ayush; Banerjee, Pragyan; Rastogi, Manu; Habib, Anowarul; Agarwal, Krishna; Prasad, Dilip Kumar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-14)
      Scanning Acoustic Microscopy (SAM) uses high-frequency acoustic waves to generate non-ionizing, label-free images of the surface and internal structures of industrial objects and biological specimens. The resolution of SAM images is limited by several factors such as the frequency of excitation signals, the signal-to-noise ratio, and the pixel size. We propose to use a hypergraphs image inpainting ...
    • IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks 

      Wong, Aaron K.; Park, Christopher Y.; Greene, Casey S.; Bongo, Lars Ailo; Guan, Yuanfang; Troyanskaya, Olga (Journal article; Tidsskriftartikkel; Peer reviewed, 2012)
      Integrative multi-species prediction (IMP) is an interactive web server that enables molecular biologists to interpret experimental results and to generate hypotheses in the context of a large cross-organism compendium of functional predictions and networks. The system provides a framework for biologists to analyze their candidate gene sets in the context of functional networks, as they expand or ...
    • Implementing and optimizing a Sparse Matrix-Vector Multiplication with UPC 

      Lagraviere, Jeremie Alexandre Emilien; Prugger, Martina; Einkemmer, Lukas; Langguth, Johannes; Ha, Hoai Phuong; Cai, Xing (Research report; Forskningsrapport, 2016)
      Programmability and performance-per-watt are the major challenges of the race to Exascale. In this study we focus on Partitioned Global Address Space (PGAS) languages, using UPC as a particular example. This category of parallel languages provides ease of programming as a strong advantage over the classic Message Passing Interface(MPI). PGAS has also advantages compared to classic shared memory ...
    • The Impossible, the Unlikely, and the Probable Nudges: A Classification for the Design of Your Next Nudge 

      Karlsen, Randi; Andersen, Anders (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-22)
      Nudging provides a way to gently influence people to change behavior towards a desired goal, e.g., by moving towards a healthier or more environmentally friendly lifestyle. Personalized and context-aware digital nudging (named smart nudging) can be a powerful tool for efficient nudging by tailoring nudges to the current situation of each individual user. However, designing smart nudges is challenging, ...
    • Improved maximal strength is not associated with improvements in sprint time or jump height in high-level female football players: a clusterrendomized controlled trial 

      Pedersen, Sigurd; Heitmann, Kim Arne; Sagelv, Edvard Hamnvik; Johansen, Dag; Pettersen, Svein Arne (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-09-17)
      <i>Background</i> - Maximal strength increments are reported to result in improvements in sprint speed and jump height in elite male football players. Although similar effects are expected in females, this is yet to be elucidated. The aim of this study was to examine the effect of maximal strength training on sprint speed and jump height in high-level female football players.<p> <p><i>Methods</i> ...
    • Improving Diabetes Care for Young People With Type 1 Diabetes Through Visual Learning on Mobile Phones: Mixed-Methods Study 

      Frøisland, Dag Helge; Årsand, Eirik; Skårderud, Finn (Journal article; Tidsskriftartikkel; Peer reviewed, 2012)
      Background: Only 17% of Norwegian children and adolescents with diabetes achieve international treatment goals measured by glycated hemoglobin (HbA1c). Classic patient–physician consultations seem to be poorly adapted to young children. New strategies that are better attuned to young people to improve support of adolescents’ self-management of diabetes need to be tested and evaluated. Objective: ...
    • Including patient-generated health data in electronic health records – a solution for CGM-data 

      Randine, Pietro; Pape-Haugaard, Louise; Hartvigsen, Gunnar; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      Patients with diabetes and health personnel do not have an optimal way of interacting. Health personnel must use multiple ICT systems, such as third-party companies’ services, to access health-related data from diverse vendors’ CGM platforms and Electronic Health Record (EHR). Furthermore, other health-related data like physical activities, quality of life or well-being is often discussed but ...