Ingrid Elisabeth Tveten
About
I am a PhD candidate at SINTEF Digital, dept. of Health, in cooperation with NTNU and St. Olavs. In the PhD project I wish to investigate how we can integrate information from echocardiography (heart ultrasound), physiological variables (e.g. heart rate, blood pressure), and other characteristics (e.g. sex, age, height/weight) to improve diagnosis of myocardial infarction and other cardiac diseases. We wish to develop a framework based on artificial intelligence (AI), and will do this in close collaboration with clinical as well as technical researchers.
My background is from Applied physics and mathematics at NTNU, where I specialiced in biophysics and medical technology. My research interests include (but are not limited to) machine learning and medical image analysis.
Research
Publications
2025
-
Ervik, Øyvind;
Rødde, Mia;
Hofstad, Erlend Fagertun;
Tveten, Ingrid;
Langø, Thomas;
Leira, Håkon Olav.
(2025)
A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study.
Journal of Imaging
Academic article
2024
-
Ervik, Øyvind;
Tveten, Ingrid;
Hofstad, Erlend Fagertun;
Langø, Thomas;
Leira, Håkon Olav;
Amundsen, Tore.
(2024)
Automatic Segmentation of Mediastinal Lymph Nodes and Blood Vessels in Endobronchial Ultrasound (EBUS) Images Using Deep Learning.
Journal of Imaging
Academic article
-
Azad, Md Abulkalam;
Chernyshov, Artem;
Nyberg, John Anders Tomas;
Tveten, Ingrid Elisabeth;
Løvstakken, Lasse;
Dalen, Håvard.
(2024)
EchoTracker: Advancing Myocardial Point Tracking in Echocardiography.
Springer
Academic chapter/article/Conference paper
Journal publications
-
Ervik, Øyvind;
Rødde, Mia;
Hofstad, Erlend Fagertun;
Tveten, Ingrid;
Langø, Thomas;
Leira, Håkon Olav.
(2025)
A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study.
Journal of Imaging
Academic article
-
Ervik, Øyvind;
Tveten, Ingrid;
Hofstad, Erlend Fagertun;
Langø, Thomas;
Leira, Håkon Olav;
Amundsen, Tore.
(2024)
Automatic Segmentation of Mediastinal Lymph Nodes and Blood Vessels in Endobronchial Ultrasound (EBUS) Images Using Deep Learning.
Journal of Imaging
Academic article
Part of book/report
-
Azad, Md Abulkalam;
Chernyshov, Artem;
Nyberg, John Anders Tomas;
Tveten, Ingrid Elisabeth;
Løvstakken, Lasse;
Dalen, Håvard.
(2024)
EchoTracker: Advancing Myocardial Point Tracking in Echocardiography.
Springer
Academic chapter/article/Conference paper
Outreach
2024
-
PosterTveten, Ingrid; Nyberg, John; Grue, Jahn Frederik; Grenne, Bjørnar; Dalen, Håvard; Løvstakken, Lasse. (2024) Myocardial contraction patterns in heart failure – opportunities for new diagnostic markers. PRESIMAL, NORA Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2024 , Brekstad 2024-09-18 - 2024-09-20
2023
-
Academic lectureTveten, Ingrid Elisabeth; Nyberg, John; Grue, Jahn Frederik; Dalen, Håvard; Løvstakken, Lasse; Grenne, Bjørnar Leangen. (2023) Deep Learning-Based Functional Measurements from Parasternal Short-Axis in Echocardiography are Related to Hypertension and Left Ventricle Ejection Fraction. PRESIMAL, NORA Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2023 , Sommarøy 2023-09-13 - 2023-09-15
-
LectureTveten, Ingrid Elisabeth. (2023) Forbedret analyse av hjerteultralyd ved hjelp av kunstig intelligens. Inovacare Helseinnovasjonsuka 2023 , Bodø 2023-09-28 -
-
Academic lectureErvik, Øyvind; Tveten, Ingrid Elisabeth; Hofstad, Erlend Fagertun; Amundsen, Tore; Langø, Thomas; Leira, Håkon Olav. (2023) Automatic segmentation of mediastinal lymph nodes and blood vessels in endobronchial ultrasound (EBUS) using a deep neural network. EABIP 7th European Congress for Bronchology and Interventional Pulmonology (ECBIP2023) , Madrid 2023-05-11 - 2023-05-13
2022
-
InterviewTveten, Ingrid Elisabeth. (2022) Vil stoppe hjerneflukten. NRK Midtnytt NRK Midtnytt [TV] 2022-10-31
-
PosterTveten, Ingrid Elisabeth; Ervik, Øyvind; Hofstad, Erlend Fagertun; Sorger, Hanne. (2022) Automatic segmentation of mediastinal lymph nodes and blood vessels in endobronchial ultrasound (EBUS) images. PRESIMAL, MMIV, UIB Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2022 , Solstrand 2022-09-14 - 2022-09-16
-
Academic lectureErvik, Øyvind; Tveten, Ingrid Elisabeth; Hofstad, Erlend Fagertun; Sorger, Hanne. (2022) Automatic identification and segmentation of mediastinal lymph nodes and blood vessels in endobronchial ultrasound (EBUS) using a deep neural network. WABIP 22nd WCBIP/WCBE (World Conference in Bronchology and Interventional Pulmonology) , Marseille 2022-10-06 - 2022-10-09
2021
-
PosterTveten, Ingrid Elisabeth; Fridstrøm, Kajsa Maria Linnea; Tøndel, Hanne; Lund, Jo-Åsmund; Redalen, Kathrine; Danielsen, Signe. (2021) Quantitative dose metrics and normal tissue complication probability modeling in prostate cancer . Nordic Association for Clinical Physics NACP 2020/2021 Symposium 2021-04-11 - 2021-04-13