Erik Andreas Rye Berg
Erik Andreas Rye Berg
PhD Fellow
Department of Circulation and Medical Imaging Faculty of Medicine and Health SciencesBackground and activities
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
2020
- (2020) Moving ferromagnetic objects distorting cardiac magnetic resonance imaging. European Heart Journal-Cardiovascular Imaging. vol. 21 (2).
2019
- (2019) Studying the Origin of Reverberation Clutter in Echocardiography: In Vitro Experiments and In Vivo Demonstrations. Ultrasound in Medicine and Biology. vol. 45 (7).
- (2019) Combining Automatic Angle Correction and 3-D Tracking Doppler for the Assessment of Aortic Stenosis Severity. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. vol. 66 (9).
- (2019) Basal Strain Estimation in Transesophageal Echocardiography (TEE) using Deep Learning based Unsupervised Deformable Image Registration. Proceedings - IEEE Ultrasonics Symposium. vol. 2019-October.
- (2019) RU-Net: A refining segmentation network for 2D echocardiography. Proceedings - IEEE Ultrasonics Symposium. vol. 2019-October.
- (2019) Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Transactions on Medical Imaging. vol. 38 (9).
- (2019) Fast ultrasound to ultrasound auto-registration for interventional cardiology. Proceedings - IEEE Ultrasonics Symposium. vol. 2019-October.
2018
- (2018) Volume flow estimation in valvular jets using 3D high frame rate ultrasound. Proceedings - IEEE Ultrasonics Symposium.
- (2018) Combining Automatic Angle Correction and 3-D Tracking Doppler for Aortic Stenosis Severity Assessment. Proceedings - IEEE Ultrasonics Symposium.
- (2018) Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. Lecture Notes in Computer Science (LNCS). vol. 11045 LNCS.