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My studies

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Bjørn-Jostein Singstad

Bjørn-Jostein Singstad

Assistant Professor II
Department of Microsystems
Faculty of Technology, Natural Sciences and Maritime Sciences
Campus Vestfold
Bjørn-Jostein works as a researcher and computer scientist at Vestfold Hospital Trust and is taking a PhD, with the title: "Artificial intelligence-enabled ECG interpretation for improved detection of patients with myocardial infarction", at Akershus University Hospital. At Vestfold Hospital Trust, Bjørn-Jostein is involved in several research projects where the common goal for all the projects is to offer better healthcare services using artificial intelligence.

Competences

Bachelor Degree: BSc in Electrical Engineering

Master Degree: MSc in Electronics, Informatics and Technology

CV

Publications

Ranjbar, Arian, Singstad, Bjørn-Jostein, Ravn, Jesper, Schirmer, Henrik. (2023). Towards Invariant Soft Biometrics from Electrocardiograms. In 2023 Computing in Cardiology (CinC) (Vol. 50, pp. 1–4). IEEE.

Singstad, Bjørn-Jostein, Ravn, Jesper, Ranjbar, Arian. (2023). MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions. In 2023 Computing in Cardiology (CinC) (Vol. 50, pp. 1–4). IEEE.

Zha, Sigurd Zijun, Rogstadkjernet, Magnus, Klæboe, Lars Gunnar, Skulstad, Helge, Singstad, Bjørn-Jostein, Gilbert, Andrew, Edvardsen, Thor, Samset, Eigil, Brekke, Pål Haugar. (2023). Deep learning for automated left ventricular outflow tract diameter measurements in 2D echocardiography. Cardiovascular Ultrasound, 21(1), 19. BioMed Central London.

Viggen, Erlend Magnus, Singstad, Bjørn-Jostein, Time, Eirik, Mishra, Siddharth, Berg, Eirik. (2023). Assisted Cement Log Interpretation Using Machine Learning. SPE Drilling & Completion, 38(02), 220–234. OnePetro.

Riemer-Sørensen, Signe, Holmestad, Helga Margrete Bodahl, Horn, Lars, Michalowska, Katarzyna, Singstad, Bjørn-Jostein, Razick, Sabry, Døskeland, Jacob Christian, Hansen, Birte Malene Tangeraas. (2023). RoadAI: Reducing emissions in road construction. Nordic Machine Intelligence, 3(3), 4–4.

Singstad, Bjørn-Jostein, Tavashi, Belal. (2023). Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort. In Proceedings of the Northern Lights Deep Learning Workshop (pp. 2022–10). septentrio.uit.no.

Singstad, Bjørn-Jostein. (2022). Norwegian Endurance Athlete ECG Database. IEEE Open Journal of Engineering in Medicine and Biology, 3, 162–166.

Singstad, Bjørn-Jostein, Dalen, Bendik Steinsvåg, Sihra, Sandhya, Forsch, Nickolas, Wall, Samuel. (2022). Identifying ionic channel block in a virtual cardiomyocyte population using machine learning classifiers. Computational Physiology, 91–109. Springer Cham, Switzerland.

Singstad, Bjørn-Jostein, Gitau, Antony M, Johnsen, Markus Kreutzer, Ravn, Johan, Bongo, Lars Ailo, Schirmer, Henrik. (2022). Phonocardiogram classification using 1-dimensional inception time convolutional neural networks. In 2022 Computing in Cardiology (CinC) (Vol. 498, pp. 1–4). IEEE.

Singstad, Bjørn-Jostein, Muten, Eraraya Morenzo. (2022). Assessing the Impact of Downsampled ECGs and Alternative Loss Functions in Multi-Label Classification of 12-Lead ECGs. medRxiv, 2022-11. Cold Spring Harbor Laboratory Press.

Hicks, Steven, Jha, Debesh, Thambawita, Vajira, Halvorsen, Pål, Singstad, Bjørn-Jostein, Gaur, Sachin, Pettersen, Klas, Goodwin, Morten, Parasa, Sravanthi, de Lange, Thomas, et al. (2021). Medai: Transparency in medical image segmentation. Nordic Machine Intelligence, 1(1), 1–4.

Tzavara, Nefeli Panagiota, Singstad, Bjørn-Jostein. (2021). Transfer learning in polyp and endoscopic tool segmentation from colonoscopy images. Nordic Machine Intelligence, 1(1), 32–34.

Singstad, Bjørn-Jostein, Azulay, Naomi, Bjurstedt, Andreas, Bjørndal, Simen S, Drageseth, Magnus F, Engeset, Peter, Eriksen, Kari, Gidey, Muluberhan Y, Granum, Espen O, Greaker, Matias G, et al. (2021). Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress. Journal of Electrical Bioimpedance, 12(1), 89–102.

Singstad, Bjørn-Jostein, Muten, Eraraya Morenzo, Brekke, Pål Haugar. (2021). Multi-label ECG classification using convolutional neural networks in a classifier chain. In 2021 Computing in Cardiology (CinC) (Vol. 48, pp. 1–4). IEEE.

Singstad, Bjørn-Jostein, Tronstad, Christian. (2020). Convolutional neural network and rule-based algorithms for classifying 12-lead ECGs. In 2020 Computing in Cardiology (pp. 1–4). IEEE.