Evaluation of fitting models for prostate tissue characterization using extended‐range b‐factor diffusion‐weighted imaging F Langkilde, T Kobus, A Fedorov, R Dunne, C Tempany, RV Mulkern, ... Magnetic resonance in medicine 79 (4), 2346-2358, 2018 | 29 | 2018 |
Prostate cancer diffusion‐weighted magnetic resonance imaging: does the choice of diffusion‐weighting level matter? SE Maier, J Wallström, F Langkilde, J Johansson, S Kuczera, J Hugosson, ... Journal of Magnetic Resonance Imaging 55 (3), 842-853, 2022 | 12 | 2022 |
Optimized bias and signal inference in diffusion‐weighted image analysis (OBSIDIAN) S Kuczera, M Alipoor, F Langkilde, SE Maier Magnetic resonance in medicine 86 (5), 2716-2732, 2021 | 6 | 2021 |
Truly reproducible uniform estimation of the ADC with multi‐b diffusion data—Application in prostate diffusion imaging S Kuczera, F Langkilde, SE Maier Magnetic Resonance in Medicine 89 (4), 1586-1600, 2023 | 3 | 2023 |
Manual prostate MRI segmentation by readers with different experience: a study of the learning progress F Langkilde, P Masaba, L Edenbrandt, M Gren, A Halil, M Hellström, ... European Radiology, 1-9, 2024 | 1 | 2024 |
A novel clinical prostate diffusion MRI approach for combined measurement of ADC and non-monoexponential diffusion S Kuczera, F Langkilde, SE Maier | | |
Prostate Cancer Diffusion Signal Analysis: Combination of Multiple Fit Parameters Improves Tissue Discrimination SE Maier, T Kobus, A Fedorov, F Langkilde, R Dunne, RV Mulkern, ... | | |