Browsing NTNU Open by Author "Kiss, Gabriel Hanssen"
Now showing items 1-20 of 41
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A Novel Virtual Reality Approach to the MoCA’s Visuospatial Executive Domain
Hustad, Jesper Forrest (Master thesis, 2024)Denne masteroppgaven presenterer utviklingen og evalueringen av en ny tilnærming til Montreal Cognitive Assessment (MoCA), med fokus på den visuospatiale eksekutive delen, spesielt klokketesten. Målet var å utvikle en ... -
An Efficient Imitation Agent for End-to-End Autonomous Driving in Simulated Environments
Økland, Dag Barstad (Master thesis, 2024)Trafikksikkerhet er et kritisk globalt problem. Hvert år dør over 1 million mennesker i trafikken, og det er den største kilden til dødelighet blant mennesker i alderen 5 til 29 år. Både autonom kjøring (AD) og avanserte ... -
Aortic Valve Localisation in 3D Transesophageal Echocardiography Volumes using Deep Learning
Obrestad, Kåre Fosli (Master thesis, 2022)Intraoperativ bildetagning av hjertet og bruken av hybride operasjonsstuer for hjerteoperasjoner, blir stadig vanligere. 3D transøsofageal ekkokardiografi (TEE) gir kirurger en måte å se de detaljerte anatomiske strukturene ... -
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings
Tasken, Anders Austlid; Berg, Erik Andreas Rye; Grenne, Bjørnar Leangen; Holte, Espen; Dalen, Håvard; Stølen, Stian Bergseng; Lindseth, Frank; Aakhus, Svend; Kiss, Gabriel Hanssen (Peer reviewed; Journal article, 2023)Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular complications. The standard of care for cardiac monitoring performed by trained cardiologists and anesthesiologists involves ... -
Automated Segmental Cardiac Monitoring by Advanced Computerized Artificial Intelligence on Intra-Operative Three-Dimensional Ultrasound Recordings
Taskén, Anders Austlid (Master thesis, 2021)Medisinsk ultralyd er et effektivt verktøy for å hente ut data fra menneskekroppens indre og praktiseres ofte i kirurgien for å vurdere hjertefunksjon. Perioperativ hjerteovervåking er viktig for diagnostikk tidlig i ... -
Automated tissue Doppler imaging for identification of occluded coronary artery in patients with suspected non-ST-elevation myocardial infarction
Halvorsrød, Marlene Iversen; Kiss, Gabriel Hanssen; Dahlslett, Thomas; Støylen, Asbjørn; Grenne, Bjørnar Leangen (Journal article; Peer reviewed, 2023)Purpose Identification of regional dysfunction is important for early risk stratification in patients with suspected non-ST-elevation myocardial infarction (NSTEMI). Strain echocardiography enables quantification of ... -
Automatic Detection of Embolic Signals in Doppler M-Mode Images Using Deep Learning
Grimstad, Bror Arild (Master thesis, 2024)Denne masteravhandlingen undersøker bruken av konvolusjonelle nevrale nettverk (CNN) til bruk i deteksjon av emboliske signal i "Signal Power"-bilder fremstilt ved bruk av M-mode teknikken innenfor Doppler ultralyd, med ... -
Automatic Detection of Mitral Annular Plane Systolic Excursion from Transesophageal Echocardiography Using Deep Learning
Nordal, Trym (Master thesis, 2019)Perioperativ monitorering av hjertet til pasienter som gjennomgår operasjoner er nødvendig for å forsikre at hjertets funksjon gjennoprettes. I dag gjennomføres periopertiv monitorering av hjertet manuelt, og baserer seg ... -
Bronchoscopy using a head-mounted mixed reality device—a phantom study and a first in-patient user experience
Kildahl-Andersen, Arne; Hofstad, Erlend Fagertun; Sorger, Hanne; Amundsen, Tore; Langø, Thomas; Leira, Håkon Olav; Kiss, Gabriel Hanssen (Peer reviewed; Journal article, 2023)Background: Bronchoscopy for peripheral lung lesions may involve image sources such as computed tomography (CT), fluoroscopy, radial endobronchial ultrasound (R-EBUS), and virtual/electromagnetic navigation bronchoscopy. ... -
Computerized Artificial Intelligence for Automatic Monitoring of Left Ventricular Function by Echocardiography
Taskén, Austlid Taskén (Doctoral theses at NTNU;2024:424, Doctoral thesis, 2024)Heart disease is a leading cause of mortality. In the perioperative and intensive care setting, left ventricular dysfunction is common and timely detection and monitoring of cardiac function are crucial to reduce associated ... -
Continuous monitoring of cerebral blood flow during general anaesthesia in infants
Vik, Sigrid Dannheim; Torp, Hans Garman; Jarmund, Anders Hagen; Kiss, Gabriel Hanssen; Follestad, Turid; Støen, Ragnhild; Nyrnes, Siri Ann (Peer reviewed; Journal article, 2023)Background: General anaesthesia is associated with neurocognitive deficits in infants after noncardiac surgery. Disturbances in cerebral perfusion as a result of systemic hypotension and impaired autoregulation may be a ... -
Continuous monitoring of left ventricular function by transesophageal echocardiography and artificial intelligence
Yu, Jinyang (Doctoral theses at NTNU;2025:18, Doctoral thesis, 2025)Sudden changes in the circulation are unavoidable in intensive care patients. An effective strategy to combat these unavoidable yet unpredictable changes is continuously monitoring their circulation. As the blood for ... -
Coronary Artery Segmentation and Automated Fractional Flow Reserve Prediction using Enhanced 3D Vision Transformers
Jensen, Simon; Mogen, Stian Fjæran (Master thesis, 2024)Koronar arteriesykdom (CAD) forblir en ledende dødsårsak globalt, kjennetegnet ved oppbygging av plakk i koronararteriene, som kan føre til hjerteinfarkt og andre alvorlige kardiovaskulære problemer. Tradisjonelt involverer ... -
Coronary Artery Segmentation and Automated Fractional Flow Reserve Prediction using Enhanced 3D Vision Transformers
Jensen, Simon; Mogen, Stian Fjæran (Master thesis, 2024)Koronar arteriesykdom (CAD) forblir en ledende dødsårsak globalt, kjennetegnet ved oppbygging av plakk i koronararteriene, som kan føre til hjerteinfarkt og andre alvorlige kardiovaskulære problemer. Tradisjonelt involverer ... -
Deep Learning Based Ultrasound Volume Registration for Interventional Applications
Røise, Kristoffer (Master thesis, 2020)Med den nylige utviklingen av ny teknologi kan minimalt invasive intervensjoner utføres med like gode utfall sammenlignet med konvensjonell åpen hjertekirurgi. Den økende aksepten for perkutane kateterbaserte intervensjoner ... -
Design Principles of a Mixed-Reality Shopping Assistant System in Omnichannel Retail
Jain, Shubham; Obermeier, Gabriele; Auinger, Andreas; Werth, Dirk; Kiss, Gabriel Hanssen (Peer reviewed; Journal article, 2023)New digital technologies furnish retail managers with new means to enhance consumer experiences in omnichannel retailing. Conceptual academic literature and industry emphasize the promising use of immersive digital displays ... -
Energy efficient airflow distribution methods for surgical microenvironment control in operating rooms
Bi, Yang (Doctoral theses at NTNU;2024:13, Doctoral thesis, 2024)With approximately 300 million surgeries performed worldwide each year, the operating room (OR) environment plays an important role in creating a satisfactory setting for all occupancies. However, there are currently several ... -
Fully automatic estimation of global left ventricular systolic function using deep learning in transesophageal echocardiography
Berg, Erik Andreas Rye; Tasken, Anders Austlid; Nordal, Trym; Grenne, Bjørnar Leangen; Espeland, Torvald; Garstad, Idar Kirkeby; Dalen, Håvard; Holte, Espen; Stølen, Stian Bergseng; Aakhus, Svend; Kiss, Gabriel Hanssen (Journal article, 2023)Aims To improve monitoring of cardiac function during major surgery and intensive care, we have developed a method for fully automatic estimation of mitral annular plane systolic excursion (auto-MAPSE) using deep learning ... -
Generating recovery data using NeRF and training Autonomous Driving agents in a realistic simulated environment
Behera, Sanket (Master thesis, 2024)Autonom kjøring er et felt som har sett en enrom vekst de sisten årene. Selskaper som Tesla, Waymo, Cruise og flere har utviklet hele eller delvis autonome kjøretøy. Det er imidlertid mange utfordringer knyttet til autonome ... -
Geo-locating Road Objects using Inverse Haversine Formula with NVIDIA Driveworks
Shami, Mamoona Birkhez; Kiss, Gabriel Hanssen; Haakonsen, Trond Arve; Lindseth, Frank (Peer reviewed; Journal article, 2023)Geolocation is integral to the seamless functioning of autonomous vehicles and advanced traffic monitoring infrastructures. This paper introduces a methodology to geolocate road objects using a monocular camera, leveraging ...