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Ivar Mjåland Salte
Ivar Mjåland Salte
M.D.
Verified email at studmed.uio.no
Title
Cited by
Cited by
Year
Artificial intelligence for automatic measurement of left ventricular strain in echocardiography
IM Salte, A Østvik, E Smistad, D Melichova, TM Nguyen, S Karlsen, ...
Cardiovascular Imaging 14 (10), 1918-1928, 2021
732021
Real-time automatic ejection fraction and foreshortening detection using deep learning
E Smistad, A Østvik, IM Salte, D Melichova, TM Nguyen, K Haugaa, ...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …, 2020
612020
Myocardial function imaging in echocardiography using deep learning
A Østvik, IM Salte, E Smistad, TM Nguyen, D Melichova, H Brunvand, ...
ieee transactions on medical imaging 40 (5), 1340-1351, 2021
452021
Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks
E Smistad, A Østvik, IM Salte, S Leclerc, O Bernard, L Lovstakken
2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018
282018
Segmentation of apical long axis, four-and two-chamber views using deep neural networks
E Smistad, IM Salte, A Østvik, S Leclerc, O Bernard, L Lovstakken
2019 IEEE International Ultrasonics Symposium (IUS), 8-11, 2019
212019
Clinical outcomes in a cohort of anti-hepatitis C virus-positive patients with significant barriers to treatment referred to a Norwegian outpatient clinic
KH Toresen, IM Salte, S Skrede, RM Nilsen, RA Leiva
Scandinavian journal of gastroenterology 49 (4), 465-472, 2014
122014
Strain echocardiography improves prediction of arrhythmic events in ischemic and non-ischemic dilated cardiomyopathy
D Melichova, TM Nguyen, IM Salte, LG Klaeboe, B Sjøli, S Karlsen, ...
International Journal of Cardiology 342, 56-62, 2021
112021
545 Deep learning/artificial intelligence for automatic measurement of global longitudinal strain by echocardiography
IM Salte, A Oestvik, E Smistad, D Melichova, TM Nguyen, H Brunvand, ...
European Heart Journal-Cardiovascular Imaging 21 (Supplement_1), jez319. 279, 2020
92020
Deep learning for improved precision and reproducibility of left ventricular strain in echocardiography: a test-retest study
IM Salte, A Østvik, SH Olaisen, S Karlsen, T Dahlslett, E Smistad, ...
Journal of the American Society of Echocardiography 36 (7), 788-799, 2023
72023
Real-time temporal coherent left ventricle segmentation using convolutional LSTMs
E Smistad, IM Salte, H Dalen, L Lovstakken
2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021
72021
Exploiting temporal information in echocardiography for improved image segmentation
J Hu, E Smistad, IM Salte, H Dalen, L Lovstakken
2022 IEEE International Ultrasonics Symposium (IUS), 1-4, 2022
52022
Radiation dose in CT-based active surveillance of small renal masses may be reduced by 75%: a retrospective exploratory multiobserver study
J Borgbjerg, NE Larsen, IM Salte, NR Grønli, E Klæstrup, A Negård
Research in Diagnostic and Interventional Imaging 5, 100019, 2023
12023
Dataset on renal tumor diameter assessment by multiple observers in normal-dose and low-dose CT
J Borgbjerg, NE Larsen, IM Salte, NR Grønli, E Klæstrup, A Negård
Data in Brief 51, 109672, 2023
2023
Response to “Minimal Detectable Change and Reproducibility of Echocardiographic Strain: Implications for Clinical Practice”
IM Salte, A Østvik, SH Olaisen, S Karlsen, T Dahlslett, E Smistad, ...
Journal of the American Society of Echocardiography 36 (11), 1223-1224, 2023
2023
P1428 Mortality in non-ischemic cardiomyopathy is low and close to the general population
D Melichova, TM Nguyen, IM Salte, LG Klaebo, B Sjoli, S Karlsen, ...
European Heart Journal-Cardiovascular Imaging 21 (Supplement_1), jez319. 857, 2020
2020
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