Comparative analysis of deep learning architectures for breast region segmentation with a novel breast boundary proposal.
Narimani S, Hoff SR, Dæhli Kurz K, Gjesdal KI, Geisler J, Grøvik E.
Sci Rep. 2025 Mar 14;15(1):8806. doi: 10.1038/s41598-025-92863-3.
PMID: 40087354
Semi-Supervised Learning Allows for Improved Segmentation With Reduced Annotations of Brain Metastases Using Multicenter MRI Data.
Ottesen JA, Tong E, Emblem KE, Latysheva A, Zaharchuk G, Bjørnerud A, Grøvik E.
J Magn Reson Imaging. 2025 Jan 10. doi: 10.1002/jmri.29686. Online ahead of print.
PMID: 39792624
Editorial for "MRI-Based Kinetic Heterogeneity Evaluation in the Accurate Access of Axillary Lymph Node Status in Breast Cancer Using a Hybrid CNN-RNN Model".
Grøvik E.
J Magn Reson Imaging. 2024 Jan 13. doi: 10.1002/jmri.29226. Online ahead of print.
PMID: 38217385 No abstract available.
Imaging the tumour microenvironment in rectal cancer: Decline in tumour blood flow during radiotherapy predicts good outcome. Bakke KM, Meltzer S,
Grøvik E, Negård A, Holmedal SH, Mikalsen LTG, Færden AE, Lyckander LG, Julbø FMI, Bjørnerud A, Gjesdal KI, Ree AH, Redalen KR. Phys Imaging Radiat Oncol. 2023 Jan 23;25:100417. doi: 10.1016/j.phro.2023.100417. eCollection 2023 Jan.
PMID: 36718357
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data. Ottesen JA, Yi D, Tong E, Iv M, Latysheva A, Saxhaug C, Jacobsen KD, Helland Å, Emblem KE, Rubin DL, Bjørnerud A, Zaharchuk G,
Grøvik E.
Front Neuroinform. 2023 Jan 18;16:1056068. doi: 10.3389/fninf.2022.1056068. eCollection 2022. PMID: 36743439
