Browsing Fakultet for medisin og helsevitenskap (MH) by Title

Now showing items 2768-2787 of 15431

    • Deep Learning Applications for the Assessment of Valvular Heart Disease using Transthoracic Echocardiography 

      Wifstad, Sigurd Vangen (Doctoral theses at NTNU;2024:198, Doctoral thesis, 2024)
      Valvular heart disease (VHD) is a class of diseases that affect the heart valves, and are associated with a reduced cardiac output and a poor prognosis for the afflicted patients. Transthoracic echocardiography (TTE) is ...

    • Deep Learning Diffusion Parameters from Magnetic Resonance Imaging An Odyssey of Deep Learning IVIM Parameter Estimation 

      Kaandorp, Misha Pieter Thijs (Doctoral theses at NTNU;2024:148, Doctoral thesis, 2024)
      Cancer is a prominent cause of premature mortality worldwide and often preventable through early detection. Magnetic resonance imaging (MRI) is a vital modality in the investigation of many types of cancers, due to its ...

    • Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study 

      Salte, Ivar Mjåland; Østvik, Andreas; Olaisen, Sindre Hellum; Karlsen, Sigve; Dahlslett, Thomas; Smistad, Erik; Eriksen-Volnes, Torfinn Kirknes; Brunvand, Harald; Haugaa, Kristina Ingrid Helena Hermann; Edvardsen, Thor; Dalen, Håvard; Løvstakken, Lasse; Grenne, Bjørnar Leangen (Peer reviewed; Journal article, 2023)
      Aims Assessment of left ventricular (LV) function by echocardiography is hampered by modest test-retest reproducibility. A novel artificial intelligence (AI) method based on deep learning provides fully automated ...

    • Deep learning identify retinal nerve fibre and choroid layers as markers of age-related macular degeneration in the classification of macular spectral-domain optical coherence tomography volumes 

      Tvenning, Arnt-Ole; Hanssen, Stian Rikstad; Austeng, Dordi; Morken, Tora Sund (Peer reviewed; Journal article, 2022)
      Purpose Deep learning models excel in classifying medical image data but give little insight into the areas identified as pathology. Visualization of a deep learning model’s point of interest (POI) may reveal unexpected ...

    • Deep Learning in the Echocardiography Workflow: Challenges and Opportunities 

      Pasdeloup, David (Doctoral theses at NTNU;2023:390, Doctoral thesis, 2023)
      Echocardiography is the most widely used imaging technique for cardiac imaging due to its availability, low-cost and real-time capabilities. With numerous indicators of heart function, it now enables precise diagnosis of ...

    • Deep learning-based image analysis reveals significant differences in the number and distribution of mucosal CD3 and γδ T cells between Crohn's disease and ulcerative colitis 

      Røyset, Elin Synnøve; Pettersen, Henrik Sahlin; Xu, Weili; Larbi, Anis; Sandvik, Arne Kristian; Steigen, Sonja Eriksson; Catalan-Serra, Ignacio; Bakke, Ingunn (Peer reviewed; Journal article, 2022)
      Colon mucosae of ulcerative colitis (UC) and Crohn's disease (CD) display differences in the number and distribution of immune cells that are difficult to assess by eye. Deep learning-based analysis on whole slide images ...

    • A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents 

      Gulden Dahl, Annelene; Nichele, Stefano; Mello, Gustavo (Chapter, 2021)
      Removing skull artifacts from functional magnetic images (fMRI) is a well understood and frequently encountered problem. Because the fMRI field has grown mostly due to human studies, many new tools were developed to handle ...

    • Deep-inspiration breath-hold - Development and utilization of a deep-inspiration breath-hold system for breast cancer radiotherapy 

      Jensen, Christer André (Doctoral theses at NTNU;2018:315, Doctoral thesis, 2018)
      The purpose of this thesis was to develop a deep-inspiration breath-hold (DIBH) system and study the performance and clinical implications in the treatment of leftsided breast cancer and radiotherapy. This was investigated ...

    • Defendants with intellectual disability and autism spectrum conditions: the perspective of clinicians working across three jurisdictions 

      McCarthy, Jane; Chaplin, Eddie; Hayes, Susan; Søndenaa, Erik; Chester, Verity; Morrissey, Catrin; Allely, Clare S.; Forrester, Andrew (Peer reviewed; Journal article, 2021)
      The treatment of vulnerable defendants by criminal justice systems or correctional systems varies within and between countries. The purpose of this paper is to examine three legal jurisdictions – New South Wales in Australia; ...

    • Defensive Behaviors - Manipulations of the Habenula-Raphe System in Freely Behaving Juvenile Zebrafish 

      Håheim, Oda Bjørnevik (Master thesis, 2020)
      I møte med fare er frykt nødvendig for å initiere «fight-or-flight»-repsonsen, og angst fungerer som en mekanisme for risikovurdering for å estimere nivået av trussel og riktig atferds-respons. Til sammen utgjør disse to ...

    • Defensive Behaviors in Juvenile Zebrafish, and the Impact of Serotonergic Manipulation on Their Behavioral Phenotype 

      Aukrust, Inger Kristine Fjeldskaar (Master thesis, 2023)
      Det overordnede målet med denne avhandlingen er å utforske forsvarsadferd hos juvenile sebrafisker, med særlig interesse for hvordan manipulering av det serotonergiske systemet påvirker uttrykket av disse adferdsresponsene. ...

    • Deficiency of miR-409-3p improves myocardial neovascularization and function through modulation of DNAJB9/p38 MAPK signaling 

      Bestepe, Furkan; Fritsche, Colette; Lakhotiya, Kartik; Niosi, Carolyn E.; Ghanem, George F.; Martin, Gregory L.; Pal-Ghosh, Ruma; Becker-Greene, Dakota; Weston, James; Hollan, Ivana; Risnes, Ivar; Rynning, Stein Erik; Solheim, Liv Heidi; Feinberg, Mark W.; Blanton, Robert M.; Icli, Basak (Peer reviewed; Journal article, 2023)

    • Defining changes in the intestinal epithelium in early life and in response to infections 

      Lindholm, Håvard Takle (Doctoral theses at NTNU;2021:231, Doctoral thesis, 2021)

    • Defining the causes of sporadic Parkinson’s disease in the global Parkinson’s genetics program (GP2) 

      Towns, Clodagh; Richer, Madeleine; Jasaityte, Simona; Stafford, Eleanor J.; Joubert, Julie; Antar, Tarek; Martinez-Carrasco, Alejandro; Makarious, Mary B.; Casey, Bradford; Vitale, Dan; Levine, Kristin; Leonard, Hampton; Pantazis, Caroline B.; Screven, Laurel A.; Hernandez, Dena G.; Wegel, Claire E.; Solle, Justin; Nalls, Mike A.; Blauwendraat, Cornelis; Singleton, Andrew B.; Tan, Manuela; Iwaki, Hirotaka; Morris, Huw R.; Gatto, Emilia M.; Kauffman, Marcelo; Khachatryan, Samson; Tavadyan, Zaruhi; Shepherd, Claire E.; Hunter, Julie; Kumar, Kishore; Ellis, Melina; Rentería, Miguel E.; Koks, Sulev; Zimprich, Alexander; Schumacher-Schuh, Artur F.; Rieder, Carlos; Awad, Paula Saffie; Tumas, Vitor; Camargos, Sarah; Fon, Edward A.; Monchi, Oury; Fon, Ted; Galleguillos, Benjamin Pizarro; Miranda, Marcelo; Bustamante, Maria Leonor; Olguin, Patricio; Chana, Pedro; Tang, Beisha; Shang, Huifang; Guo, Jifeng; Chan, Piu; Luo, Wei; Arboleda, Gonzalo; Orozco, Jorge; del Rio, Marlene Jimenez; Hernandez, Alvaro; Salama, Mohamed; Kamel, Walaa A.; Zewde, Yared Z.; Brice, Alexis; Corvol, Jean-Christophe; Westenberger, Ana; Illarionova, Anastasia; Mollenhauer, Brit; Klein, Christine; Vollstedt, Eva-Juliane; Hopfner, Franziska; Höglinger, Günter; Madoev, Harutyun; Trinh, Joanne; Junker, Johanna; Lohmann, Katja; Lange, Lara M.; Sharma, Manu; Groppa, Sergiu; Gasser, Thomas; Fang, Zih-Hua; Akpalu, Albert; Xiromerisiou, Georgia; Hadjigorgiou, Georgios; Dagklis, Ioannis; Tarnanas, Ioannis; Stefanis, Leonidas; Stamelou, Maria; Dadiotis, Efthymios; Medina, Alex; Chan, Germaine Hiu-Fai; Ip, Nancy; Cheung, Nelson Yuk-Fai; Chan, Phillip; Zhou, Xiaopu; Kishore, Asha; Kp, Divya; Pal, Pramod; Kukkle, Prashanth Lingappa; Rajan, Roopa; Borgohain, Rupam; Salari, Mehri; Quattrone, Andrea; Valente, Enza Maria; Parnetti, Lucilla; Avenali, Micol; Schirinzi, Tommaso; Funayama, Manabu; Hattori, Nobutaka; Shiraishi, Tomotaka; Karimova, Altynay; Kaishibayeva, Gulnaz; Shambetova, Cholpon; Krüger, Rejko; Tan, Ai Huey; Ahmad-Annuar, Azlina; Norlinah, Mohamed Ibrahim; Murad, Nor Azian Abdul; Azmin, Shahrul; Lim, Shen-Yang; Mohamed, Wael; Tay, Yi Wen; Martinez-Ramirez, Daniel; Rodriguez-Violante, Mayela; Reyes-Pérez, Paula; Tserensodnom, Bayasgalan; Ojha, Rajeev; Anderson, Tim J.; Pitcher, Toni L.; Sanyaolu, Arinola; Okubadejo, Njideka; Ojo, Oluwadamilola; Aasly, Jan; Pihlstrøm, Lasse; Ur-Rehman, Shoaib; Cornejo-Olivas, Mario; Doquenia, Maria Leila; Rosales, Raymond; Vinuela, Angel; Iakovenko, Elena; Mubarak, Bashayer Al; Umair, Muhammad; Tan, Eng-King; Foo, Jia Nee; Amod, Ferzana; Carr, Jonathan; Bardien, Soraya; Jeon, Beomseok; Kim, Yun Joong; Cubo, Esther; Alvarez, Ignacio; Hoenicka, Janet; Beyer, Katrin; Periñan, Maria Teresa; Pastor, Pau; El-Sadig, Sarah; Zweier, Christiane; Krack, Paul; Lin, Chin-Hsien; Wu, Hsiu-Chuan; Kung, Pin-Jui; Wu, Ruey-Meei; Wu, Yihru; Amouri, Rim; Sassi, Samia Ben; Başak, A. Nazlı; Genc, Gencer; Çakmak, Özgür Öztop; Ertan, Sibel; Noyce, Alastair; Schrag, Anette; Schapira, Anthony; Carroll, Camille; Bale, Claire; Grosset, Donald; Houlden, Henry; Hardy, John; Mok, Kin Ying; Rizig, Mie; Wood, Nicholas; Williams, Nigel; Okunoye, Olaitan; Lewis, Patrick Alfryn; Kaiyrzhanov, Rauan; Weil, Rimona; Love, Seth; Stott, Simon; Jasaitye, Simona; Dey, Sumit; Obese, Vida; Espay, Alberto; O’Grady, Alyssa; Sobering, Andrew K.; Siddiqi, Bernadette; Fiske, Brian; Jonas, Cabell; Cruchaga, Carlos; Comart, Charisse; Wegel, Claire; Hall, Deborah; Hernandez, Dena; Shiamim, Ejaz; Riley, Ekemini; Faghri, Faraz; Serrano, Geidy E.; Chen, Honglei; Mata, Ignacio F.; Sarmiento, Ignacio Juan Keller; Williamson, Jared; Kim, Jonggeol Jeff; Jankovic, Joseph; Shulman, Joshua; Solle, Justin C.; Murphy, Kaileigh; Nuytemans, Karen; Kieburtz, Karl; Markopoulou, Katerina; Marek, Kenneth; Levine, Kristin S.; Chahine, Lana M.; Ibanez, Laura; Screven, Laurel; Ruffrage, Lauren; Shulman, Lisa; Marsili, Luca; Kuhl, Maggie; Dean, Marissa; Koretsky, Mathew; Puckelwartz, Megan J.; Inca-Martinez, Miguel; Louie, Naomi; Mencacci, Niccolò Emanuele; Albin, Roger; Alcalay, Roy; Walker, Ruth; Bandres-Ciga, Sara; Chowdhury, Sohini; Dumanis, Sonya; Lubbe, Steven; Xie, Tao; Foroud, Tatiana; Beach, Thomas; Sherer, Todd; Song, Yeajin; Nguyen, Duan; Nguyen, Toan; Atadzhanov, Masharip (Peer reviewed; Journal article, 2023)
      The Global Parkinson’s Genetics Program (GP2) will genotype over 150,000 participants from around the world, and integrate genetic and clinical data for use in large-scale analyses to dramatically expand our understanding ...

    • Defining the cut-off point of clinically significant postoperative fatigue in three common fatigue scales 

      Nøstdal, Torkjell; Bernklev, Tomm; Fredheim, Olav Magnus; Paddison, Johanna S.; Ræder, Johan (Journal article; Peer reviewed, 2018)
      Purpose Postoperative fatigue (POF) is an often underestimated problem after surgery. Studies on POF often report fatigue scores without relating this to the clinical relevance for the patients. The aim of this study was ...

    • Definitive radiotherapy for prostate cancer in Norway 2006-2015: Temporal trends, performance and survival 

      Fosså, Sophie Dorothea; Aas, Kirsti; Muller, Christoph Rainer; Jerm, Marianne Brenn; Tandstad, Torgrim; Lilleby, Wolfgang; Kvåle, Rune; Gulbrandsen, Johanne; Haug, Erik Skaaheim; Myklebust, Tor Åge (Peer reviewed; Journal article, 2020)
      Background: More studies are needed to document nation-wide use and effectiveness of curative definitive radiotherapy (Def-RT) in the treatment of prostate cancer (PCa). Patients and methods: For 38,960 men diagnosed with ...

    • Deforming the metric of cognitive maps distorts memory 

      Bellmund, Jacob Lukas Sarid; de Cothi, William; Ruiter, Tom; Nau, Matthias; Barry, Caswell; Doeller, Christian Fritz Andreas (Journal article, 2019)
      Environmental boundaries anchor cognitive maps that support memory. However, trapezoidal boundary geometry distorts the regular firing patterns of entorhinal grid cells, proposedly providing a metric for cognitive maps. ...

    • Degradation and mobility of pesticides in Norwegian soils. Opinion of the Panel on Plant Protection Products of the Norwegian Scientific Committee for Food Safety 

      Eklo, Ole Martin; Almvik, Marit; Hole, Halvard; Nyborg, Åge Arild; Stenrød, Marianne; Borgå, Katrine; Dirven, Hubert; Grung, Merete; Lyche, Jan Ludvig; Låg, Marit; Nilsen, Asbjørn Magne; Sverdrup, Line Emilie; Källqvist, Torsten (VKM Report;, Research report, 2015)
      In this report the following topic of pesticides and fate in Norway has been outlined covering: 1. Factors influencing degradation of pesticides. 2. Description and update of datasets on soil and climate in agricultural ...

    • Deinstitutionalization and mental health changes among people with mental retardation 

      Nøttestad, Jim Aage (Doktoravhandlinger ved NTNU, 1503-8181; 2004:96, Doctoral thesis, 2004)

    • Delayed sleep–wake phase disorder in young adults: prevalence and correlates from a national survey of Norwegian university students 

      Sivertsen, Børge; Harvey, Allison G.; Gradisar, Michael; Pallesen, Ståle; Hysing, Mari (Peer reviewed; Journal article, 2020)
      Background Delayed sleep–wake phase disorder (DSWPD) during adolescence has been linked to impaired health and poor functioning. However there is a dearth of knowledge about DSWPD in young adulthood. We seek to contribute ...