Blar i NTNU Open på forfatter "Lindseth, Frank"
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3D Object Detection for Autonomous Driving Using Real and Simulated Data
Brekke, Åsmund; Vatsendvik, Fredrik (Master thesis, 2019)Selvkjørende biler har blitt et populært tema det siste tiåret, både grunnet bredere offentlig interesse i kunstig intelligens og imponerende resultater oppnådd av forskninsinstitusjoner og private selskaper som Google, ... -
3D Object Detection for Autonomous Driving Using Real and Simulated Data
Brekke, Åsmund; Vatsendvik, Fredrik (Master thesis, 2019)Selvkjørende biler har blitt et populært tema det siste tiåret, både grunnet bredere offentlig interesse i kunstig intelligens og imponerende resultater oppnådd av forskninsinstitusjoner og private selskaper som Google, ... -
3D object reconstruction from images
Heimdal, Lars Ådne; Hagen, Even Flem (Master thesis, 2022)I denne oppgaven utforsker vi dyplæringsbaserte rekonstruksjonsmetoder som brukes til å rekonstruere 3D objekter fra 2D bilder. 3D-modeller er mye brukt i videospill, simulatorer og animerte filmer. Det er imidlertid en ... -
3D object reconstruction from images
Heimdal, Lars Ådne; Hagen, Even Flem (Master thesis, 2022)I denne oppgaven utforsker vi dyplæringsbaserte rekonstruksjonsmetoder som brukes til å rekonstruere 3D objekter fra 2D bilder. 3D-modeller er mye brukt i videospill, simulatorer og animerte filmer. Det er imidlertid en ... -
3D ultrasound reconstruction algorithms from analog and digital data
Solberg, Ole Vegard; Lindseth, Frank; Bø, Lars Eirik; Muller, Sebastien; Meland, Janne Beate Lervik; Tangen, Geir Arne; Hernes, Toril A. Nagelhus (Journal article; Peer reviewed, 2010)Freehand 3D ultrasound is increasingly being introduced in the clinic for diagnostics and image-assisted interventions. Various algorithms exist for combining 2D images of regular ultrasound probes to 3D volumes, being ... -
3D ultrasound-guided resection of low-grade gliomas: principles and clinical examples
Unsgård, Geirmund; Lindseth, Frank (Journal article, 2019)3D ultrasound (US) is a convenient tool for guiding the resection of low-grade gliomas, seemingly without deterioration in patients’ quality of life. This article offers an update of the intraoperative workflow and the ... -
A machine learning approach for jaundice detection using color corrected smartphone images
Falk, Håvard Hagen; Jensen, Oliver Damsgaard (Master thesis, 2018)Neonatal jaundice and the associated yellow skin discoloration is caused by hyperbilirubinemia, a condition in which there is too much bilirubin in the blood. In 2010, the failure to treat jaundice resulted in 114,000 ... -
A mobile application for booking autonomous vehicles - Combining the sharing economy and self-driving cars
Mathisen, Hanne (Master thesis, 2018)Fully autonomous vehicles eliminate the human driver of cars by taking care of all driving tasks. The cars can view 360 degrees of their surroundings and make decisions based on them, which can optimize traffic and fuel ... -
A mobile game/app for enhanced ultrasound interpretation
Khosravifard, Mina (Master thesis, 2014)Ultrasound imaging is widely used imaging modality. Ultrasound has many advantages: it is supporting continuous realtime imaging in 2D or 3D, relatively inexpensive, non invasive, and free of harmful radiation. Beside those ... -
A new GPU-based Hybrid Approach to 3D Ultrasound Reconstruction - Quality Reconstruction with Top-End Performance in FAST
Fagerli, Ruben Håskjold (Master thesis, 2016)Ultrasound imaging is a versatile, portable, and low cost medical imaging modality. It produces real-time data from a local area in the scanned person, or object, useful in use cases such as intra-operative imaging. Freehand ... -
A Serious Game for Medical Image Interpretation
Tønnessen, Martin Schiller (Master thesis, 2016)It is now quite common to use different types of image modalities such as ultrasound and MRI in the practise of medicine. However, the different modalities require experience and practice. A study of the potential behind ... -
Accelerating Training of Deep Reinforcement Learning-based Autonomous Driving Agents Through Comparative Study of Agent and Environment Designs
Vergara, Marcus Loo (Master thesis, 2019)In this thesis, we will be investigating the current landscape of state-of-the-art methods using deep reinforcement learning for the purposes of training self-driving cars. Autonomous driving has garnered the interest of ... -
Adaptive General Reinforced Imitation in Autonomous Driving
Olsen, Aleksander Scherman (Master thesis, 2022)Oppgaven med autonom kjøring er vanskelig, og oppgaven med autonom kjøring basert på visuell input er enda vanskeligere. Fremskritt innen visuell intelligens og autonome kjøresystemer vil kunne ha store samfunnsmessige ... -
AI-agents Trained Using Deep Reinforcement Learning in the CARLA Simulator
Szewczyk, Alexander Stensland Iversen (Master thesis, 2022)De siste årene har dyp læring og forsterknings-læring innenfor synsbaserte autonome kjøresystemer hatt en stor økning i interesse, i tillegg til flere gjennombrudd. Opprettelsen av offentlig tilgjengelige verktøy, med åpen ... -
Airway segmentation and centerline extraction from thoracic CT - Comparison of a new method to state of the art commercialized methods
Reynisson, Pall Jens; Scali, Marta; Smistad, Erik; Hofstad, Erlend Fagertun; Leira, Håkon Olav; Lindseth, Frank; Hernes, Toril A. Nagelhus; Amundsen, Tore; Sorger, Hanne; Langø, Thomas (Peer reviewed; Journal article, 2015)Introduction Our motivation is increased bronchoscopic diagnostic yield and optimized preparation, for navigated bronchoscopy. In navigated bronchoscopy, virtual 3D airway visualization is often used to guide a bronchoscopic ... -
An educational game for enhanced medical imaging interpretation skills
Dalby, Kristoffer Andreas; Tørnvall, Fredrik Borgen (Master thesis, 2017)In the field of medicine, medical imaging is a tool of significance. It is a noninvasive diagnostic method and an instrument for guiding surgical equipment inside the patient. There exist different types of image modalities ... -
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 ... -
Applications of Computer Vision and Deep Learning for Digital Rock Analysis
Sarmad, Muhammad (Doctoral theses at NTNU;2024:114, Doctoral thesis, 2024)Digital rock analysis utilizes various tools available in computer science to represent and process rock data in a way that enhances our understanding of its geological properties. It has become an essential tool for ... -
Applied Behavioral Phenotyping for the Selective Breeding of a Non-Cannibalistic European Lobster
Furdal, Eivind Hovdegård; Miøen, Ole Johan (Master thesis, 2022)Europeisk hummer er en av de mest verdifulle skalldyrene i Europa, men grunnet reduserte villbestander og mangelen på kommersiell oppdrett er etterspørselen etter hummer i liten grad møtt. Hummeroppdrett har tidligere vist ... -
Applied Behavioral Phenotyping for the Selective Breeding of a Non-Cannibalistic European Lobster
Furdal, Eivind Hovdegård; Miøen, Ole Johan (Master thesis, 2022)Europeisk hummer er en av de mest verdifulle skalldyrene i Europa, men grunnet reduserte villbestander og mangelen på kommersiell oppdrett er etterspørselen etter hummer i liten grad møtt. Hummeroppdrett har tidligere vist ...