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Bjørn-Jostein Singstad
Bjørn-Jostein Singstad
Research Engineer at the Hospital in Vestfold & PhD candidate at Akershus University Hospital
Verified email at fys.uio.no
Title
Cited by
Cited by
Year
Medai: Transparency in medical image segmentation
S Hicks, D Jha, V Thambawita, P Halvorsen, BJ Singstad, S Gaur, ...
Nordic Machine Intelligence 1 (1), 1-4, 2021
252021
Convolutional neural network and rule-based algorithms for classifying 12-lead ECGs
BJ Singstad, C Tronstad
2020 Computing in Cardiology, 1-4, 2020
222020
Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress
BJ Singstad, N Azulay, A Bjurstedt, SS Bjørndal, MF Drageseth, ...
Journal of Electrical Bioimpedance 12 (1), 89-102, 2021
82021
Assisted Cement Log Interpretation Using Machine Learning
EM Viggen, BJ Singstad, E Time, S Mishra, E Berg
SPE Drilling & Completion 38 (02), 220-234, 2023
72023
Multi-label ecg classification using convolutional neural networks in a classifier chain
BJ Singstad, EM Muten, PH Brekke
2021 Computing in Cardiology (CinC) 48, 1-4, 2021
52021
Phonocardiogram classification using 1-dimensional inception time convolutional neural networks
BJ Singstad, AM Gitau, MK Johnsen, J Ravn, LA Bongo, H Schirmer
2022 Computing in Cardiology (CinC) 498, 1-4, 2022
42022
Transfer learning in polyp and endoscopic tool segmentation from colonoscopy images
NP Tzavara, BJ Singstad
Nordic Machine Intelligence 1 (1), 32-34, 2021
42021
Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort
BJ Singstad, B Tavashi
Proceedings of the Northern Lights Deep Learning Workshop, 2022.10. 03.22280640, 2023
32023
Deep learning for automated left ventricular outflow tract diameter measurements in 2D echocardiography
SZ Zha, M Rogstadkjernet, LG Klæboe, H Skulstad, BJ Singstad, A Gilbert, ...
Cardiovascular Ultrasound 21 (1), 19, 2023
12023
RoadAI: Reducing emissions in road construction
S Riemer-Sørensen, HMB Holmestad, L Horn, K Michalowska, ...
Nordic Machine Intelligence 3 (3), 4-4, 2023
12023
Identifying ionic channel block in a virtual cardiomyocyte population using machine learning classifiers
BJ Singstad, BS Dalen, S Sihra, N Forsch, S Wall
Computational physiology, 91-109, 2022
12022
Sammenligning av kardiologisk og algoritmebasert EKG-tolkning på idrettsutøvere: Kan kunstig intelligens forbedre algoritmene?
BJ Singstad
12021
MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions
BJ Singstad, J Ravn, A Ranjbar
2023 Computing in Cardiology (CinC) 50, 1-4, 2023
2023
Towards Invariant Soft Biometrics from Electrocardiograms
A Ranjbar, BJ Singstad, J Ravn, H Schirmer
2023 Computing in Cardiology (CinC) 50, 1-4, 2023
2023
Assessing the Impact of Downsampled ECGs and Alternative Loss Functions in Multi-Label Classification of 12-Lead ECGs
BJ Singstad, EM Muten
medRxiv, 2022.11. 16.22282373, 2022
2022
Norwegian Endurance Athlete ECG Database
BJ Singstad
IEEE Open Journal of Engineering in Medicine and Biology 3, 162-166, 2022
2022
Design, development and testing of an analog ECG amplifier
BJ Singstad
Engineering Archive, 2020
2020
Programmere en aktiv bølgekompensator
KP Fjørtoft, BJ Singstad
2014
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