| Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks RH Helland, A Ferles, A Pedersen, I Kommers, H Ardon, F Barkhof, ... Scientific reports 13 (1), 18897, 2023 | 3 | 2023 |
| Seeing more with less: virtual gadolinium-enhanced glioma imaging A Ferles, F Barkhof The Lancet Digital Health 3 (12), e754-e755, 2021 | 1 | 2021 |
| Computerised emergency work-up for mass-like brain MRI lesions: can explainable AI support radiologists? A Ferles, F Barkhof European Radiology 33 (8), 5856-5858, 2023 | | 2023 |
| Segmentation of post-operative glioblastoma RH Helland, D Bouget, A Ferles, RS Eijgelaar, O Solheim, PCDW Hamer, ... Medical Imaging with Deep Learning, 2022 | | 2022 |
| [Re] Zero-Shot Knowledge Transfer via Adversarial Belief Matching A Ferles, A Nöu, L Valavanis ReScience C 6 (2), #2, 2020 | | 2020 |
| Employing Attention-Based Learning For Medical Image Segmentation A Ferles KTH Royal Institute of Technology, 2019 | | 2019 |
Frederik BarkhofVU University Medical CenterVerified email at vumc.nl
