Blar i Fakultet for medisin og helsevitenskap (MH) på tittel

Viser treff 1089-1108 av 15076

    • Automated Patient-level Prostate Cancer Detection with Quantitative Diffusion Magnetic Resonance Imaging 

      Zhong, Allison Y.; Digma, Leonardino A.; Hussain, Troy; Feng, Christine H.; Conlin, Christopher C.; Tye, Karen; Lui, Asona J.; Andreassen, Maren Marie Sjaastad; Rodríguez-Soto, Ana E.; Karunamuni, Roshan; Kuperman, Joshua; Kane, Christopher J.; Rakow-Penner, Rebecca; Hahn, Michael E.; Dale, Anders M.; Seibert, Tyler M. (Peer reviewed; Journal article, 2023)
      Background Multiparametric magnetic resonance imaging (mpMRI) improves detection of clinically significant prostate cancer (csPCa), but the subjective Prostate Imaging Reporting and Data System (PI-RADS) system and ...

    • Automated pupillometry to detect command following in neurological patients: a proof-of-concept study 

      Vassilieva, Alexandra; Olsen, Markus Harboe; Peinkhofer, Costanza; Knudsen, Gitte M; Kondziella, Daniel (Journal article; Peer reviewed, 2019)
      Background Levels of consciousness in patients with acute and chronic brain injury are notoriously underestimated. Paradigms based on electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) may detect ...

    • Automated Quantification of Human Osteoclasts Using Object Detection 

      Kohtala, Sampsa; Nedal, Tonje Marie Vikene; Carlo, Kriesi; Moen, Siv Helen; Ma, Qianli; Ødegaard, Kristin Sirnes; Standal, Therese; Steinert, Martin (Peer reviewed; Journal article, 2022)
      A balanced skeletal remodeling process is paramount to staying healthy. The remodeling process can be studied by analyzing osteoclasts differentiated in vitro from mononuclear cells isolated from peripheral blood or from ...

    • Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition 

      Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Selnæs, Kirsten Margrete; Bathen, Tone Frost; Elschot, Mattijs (Peer reviewed; Journal article, 2020)
      Objectives To develop and evaluate an automated method for prostate T2-weighted (T2W) image normalization using dual-reference (fat and muscle) tissue. Materials and methods Transverse T2W images from the publicly ...

    • Automated segmentation of endometrial cancer on MR images using deep learning 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S (Peer reviewed; Journal article, 2021)
      Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...

    • Automatic analysis in echocardiography using machine learning 

      Østvik, Andreas (Doctoral theses at NTNU, 2021:230, Doctoral thesis, 2021)
      Echocardiography is the cornerstone of modern cardiac imaging due to its availability, low cost and real-time functionality. The modality has enabled sophisticated non-invasive evaluation of the hearts morphophysiology, ...

    • Automatic assessment of left ventricular function for hemodynamic monitoring using artificial intelligence and transesophageal echocardiography 

      Yu, Jinyang; Tasken, Anders Austlid; Flade, Hans Martin; Skogvoll, Eirik; Berg, Erik Andreas Rye; Grenne, Bjørnar Leangen; Rimehaug, Audun Eskeland; Kirkeby-Garstad, Idar; Aakhus, Svend (Peer reviewed; Journal article, 2024)
      We have developed a method to automatically assess LV function by measuring mitral annular plane systolic excursion (MAPSE) using artificial intelligence and transesophageal echocardiography (autoMAPSE). Our aim was to ...

    • Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data 

      Rindal, Ole Marius Hoel; Seeberg, Trine Margrethe; Tjønnås, Johannes; Haugnes, Pål; Sandbakk, Øyvind (Journal article; Peer reviewed, 2018)
      The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization ...

    • Automatic Detection and Measurement of Fetal Biparietal Diameter and Femur Length — Feasibility on a Portable Ultrasound Device 

      Khan, Naiad Hossain; Tegnander, Eva; Dreier, Johan Morten; Eik-Nes, Sturla; Torp, Hans; Kiss, Gabriel (Journal article, 2017)
      An automatic method able to recognize a presented section through the biparietal plane of the fetal head and a section through the fetal femur in ultrasound images is developed. Once the correct anatomical section for ...

    • Automatic interpretation of cement evaluation logs from cased boreholes using supervised deep neural networks 

      Viggen, Erlend Magnus; Merciu, Ioan Alexandru; Løvstakken, Lasse; Måsøy, Svein-Erik (Peer reviewed; Journal article, 2020)
      The integrity of cement in cased boreholes is typically evaluated using well logging. However, well logging results are complex and can be ambiguous, and decisions associated with significant risks may be taken based on ...

    • Automatic Intraoperative Correction of Brain Shift for Accurate Neuronavigation 

      Iversen, Daniel Høyer; Wein, Wolfgang; Lindseth, Frank; Unsgård, Geirmund; Reinertsen, Ingerid (Journal article; Peer reviewed, 2018)
      Background Unreliable neuronavigation owing to inaccurate patient-to-image registration and brain shift is a major problem in conventional magnetic resonance imaging–guided neurosurgery. We performed a prospective ...

    • Automatic intraoperative estimation of blood flow direction during neurosurgical interventions 

      Iversen, Daniel Høyer; Løvstakken, Lasse; Unsgård, Geirmund; Reinertsen, Ingerid (Journal article; Peer reviewed, 2018)
      Purpose In neurosurgery, reliable information about blood vessel anatomy and flow direction is important to identify, characterize, and avoid damage to the vasculature. Due to ultrasound Doppler angle dependencies and the ...

    • Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases 

      Olaisen, Sindre Hellum; Smistad, Erik; Espeland, Torvald; Hu, Jieyu; Pasdeloup, David Francis Pierre; Østvik, Andreas; Aakhus, Svend; Rösner, Assami; Malm, Siri; Stylidis, Michael; Holte, Espen; Grenne, Bjørnar Leangen; Løvstakken, Lasse; Dalen, Håvard (Peer reviewed; Journal article, 2023)
      Aims Echocardiography is a cornerstone in cardiac imaging, and left ventricular (LV) ejection fraction (EF) is a key parameter for patient management. Recent advances in artificial intelligence (AI) have enabled fully ...

    • Automatic measurements of mitral annular motion indices 

      Grue, Jahn Frederik Noraas (Doctoral theses at NTNU;2020:4, Doctoral thesis, 2020)

    • Automatic measurements of mitral annular plane systolic excursion and velocities to detect left ventricular dysfunction 

      Grue, Jahn Frederik; Storve, Sigurd; Dalen, Håvard; Salvesen, Øyvind; Mjølstad, Ole Christian; Samstad, Stein; Torp, Hans; Haugen, Bjørn Olav (Journal article; Peer reviewed, 2018)
      The purpose of the study described here was to evaluate an automatic algorithm for detection of left ventricular dysfunction, based on measurements of mitral annular motion indices from color tissue Doppler apical four-chamber ...

    • Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning 

      Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse (Journal article; Peer reviewed, 2018)
      Recent studies in the field of deep learning suggest that motion estimation can be treated as a learnable problem. In this paper we propose a pipeline for functional imaging in echocardiography consisting of four central ...

    • Automatic quantification of left ventricular function by medical students using ultrasound 

      Grue, Jahn Frederik; Storve, Sigurd; Dalen, Håvard; Mjølstad, Ole Christian; Samstad, Stein; Eriksen-Volnes, Torfinn; Torp, Hans; Haugen, Bjørn Olav (Peer reviewed; Journal article, 2020)
      Background Automatic analyses of echocardiograms may support inexperienced users in quantifying left ventricular (LV) function. We have developed an algorithm for fully automatic measurements of mitral annular plane ...

    • Autonomi hos den psykiatriske pasienten - et spørsmål om etikk i sykepleie 

      Stefansdottir, Bogey (Bachelor thesis, 2023)
      Bakgrunn: Pasienter med alvorlige psykiske lidelser lever i gjennomsnitt 10-15 år kortere enn den gjennomsnittlige nordmann. Det er en rekke potensielle årsaker for dette, slik som rusproblematikk, men en utfordring som ...

    • Autonomi, medvirkning og terminal sykdom 

      Seljeset, Mona Sofie Nygård; Eikeland, Hanne Hernæs (Bachelor thesis, 2021)
      Hensikt: Hensikten med oppgaven er å bli faglig sterkere i forhold til ivaretakelse av pasientens autonomi og medvirkning i beslutningsprosesser vedrørende livsforlengende behandling og palliativ omsorg. Vi ønsker også å ...

    • Autonomic activation and muscle activity in relation to musculoskeletal pain 

      Nilsen, Kristian Bernhard (Doktoravhandlinger ved NTNU, 1503-8181; 2007:202, Doctoral thesis, 2007)
      Background and objectives: Musculoskeletal pain is frequent and the most common cause of sick leave in Norway. Although chronic musculoskeletal pain is conceived to be related to social or mental stress, the mechanism for ...