| Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI E Grøvik, D Yi, M Iv, E Tong, D Rubin, G Zaharchuk Journal of Magnetic Resonance Imaging 51 (1), 175-182, 2020 | 208 | 2020 |
| Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study E Grøvik, D Yi, M Iv, E Tong, LB Nilsen, A Latysheva, C Saxhaug, ... NPJ digital medicine 4 (1), 33, 2021 | 40 | 2021 |
| Dynamic multi‐echo DCE‐ and DSC‐MRI in rectal cancer: Low primary tumor Ktrans and peak are significantly associated with lymph node metastasis E Grøvik, KR Redalen, TH Storås, A Negård, SH Holmedal, AH Ree, ... Journal of Magnetic Resonance Imaging 46 (1), 194-206, 2017 | 26 | 2017 |
| Sex differences and tumor blood flow from dynamic susceptibility contrast MRI are associated with treatment response after chemoradiation and long-term survival in rectal cancer KM Bakke, S Meltzer, E Grøvik, A Negård, SH Holmedal, KI Gjesdal, ... Radiology 297 (2), 352-360, 2020 | 17 | 2020 |
| Brain metastases with poor vascular function are susceptible to pseudoprogression after stereotactic radiation surgery I Digernes, E Grøvik, LB Nilsen, C Saxhaug, O Geier, E Reitan, DO Sætre, ... Advances in radiation oncology 3 (4), 559-567, 2018 | 17 | 2018 |
| Dynamic MR Imaging of Patients with Breast Cancer-Establishment and Comparison of Different Analytical Methods for Tissue Perfusion and Capillary Permeability K Gjesdal, E Grøvik US Patent App. 13/941,652, 2014 | 17 | 2014 |
| Comparison of Intravoxel incoherent motion imaging and multiecho dynamic contrast‐based MRI in rectal cancer KM Bakke, E Grøvik, S Meltzer, A Negård, SH Holmedal, LTG Mikalsen, ... Journal of Magnetic Resonance Imaging 50 (4), 1114-1124, 2019 | 16 | 2019 |
| Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol CPS Kulseng, V Nainamalai, E Grøvik, JT Geitung, A Årøen, KI Gjesdal BMC Musculoskeletal Disorders 24 (1), 41, 2023 | 15 | 2023 |
| Split dynamic MRI: Single bolus high spatial–temporal resolution and multi contrast evaluation of breast lesions E Grøvik, A Bjørnerud, TH Storås, KI Gjesdal Journal of Magnetic Resonance Imaging 39 (3), 673-682, 2014 | 15 | 2014 |
| MRI pulse sequence integration for deep‐learning‐based brain metastases segmentation D Yi, E Grøvik, E Tong, M Iv, KE Emblem, LB Nilsen, C Saxhaug, ... Medical Physics 48 (10), 6020-6035, 2021 | 13 | 2021 |
| 2.5 D and 3D segmentation of brain metastases with deep learning on multinational MRI data JA Ottesen, D Yi, E Tong, M Iv, A Latysheva, C Saxhaug, KD Jacobsen, ... Frontiers in Neuroinformatics 16, 1056068, 2023 | 12 | 2023 |
| Responses in the diffusivity and vascular function of the irradiated normal brain are seen up until 18 months following SRS of brain metastases LB Nilsen, I Digernes, E Grøvik, C Saxhaug, A Latysheva, O Geier, ... Neuro-Oncology Advances 2 (1), vdaa028, 2020 | 7 | 2020 |
| Multimodal dynamic MRI for structural and functional assessment of cancer E Grøvik | 7 | 2017 |
| Single bolus split dynamic MRI: Is the combination of high spatial and dual‐echo high temporal resolution interleaved sequences useful in the differential diagnosis of breast … E Grøvik, A Bjørnerud, KD Kurz, M Kingsrød, M Sandhaug, TH Storås, ... Journal of Magnetic Resonance Imaging 42 (1), 180-187, 2015 | 6 | 2015 |
| Dynamic MR imaging of patients with breast cancer—establishment and comparison of different analytical methods for tissue perfusion and capillary permeability K Gjesdal, E Grøvik US Patent 9,046,589, 2015 | 6 | 2015 |
| Noise dependency in vascular parameters from combined gradient-echo and spin-echo DSC MRI I Digernes, LB Nilsen, E Grøvik, A Bjørnerud, G Løvland, E Vik-Mo, ... Physics in Medicine & Biology 65 (22), 225020, 2020 | 5 | 2020 |
| Random bundle: brain metastases segmentation ensembling through annotation randomization D Yi, E Grøvik, M Iv, E Tong, G Zaharchuk, D Rubin arXiv preprint arXiv:2002.09809, 2020 | 3 | 2020 |
| Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study E Grøvik, D Yi, M Iv, E Tong, LB Nilsen, A Latysheva, C Saxhaug, ... arXiv preprint arXiv:1912.11966, 2019 | 3 | 2019 |
| Imaging the tumour microenvironment in rectal cancer: Decline in tumour blood flow during radiotherapy predicts good outcome KM Bakke, S Meltzer, E Grøvik, A Negård, SH Holmedal, LTG Mikalsen, ... Physics and Imaging in Radiation Oncology 25, 100417, 2023 | 2 | 2023 |
| Brain metastasis segmentation network trained with robustness to annotations with multiple false negatives D Yi, E Grøvik, M Iv, E Tong, G Zaharchuk, D Rubin Medical Imaging with Deep Learning, 867-880, 2020 | 2 | 2020 |
