Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans.
Med Image Anal
2025
101
A Learnable Prior Improves Inverse Tumor Growth Modeling.
IEEE Trans Med Imaging
2025
44
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Corrigendum to "Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis" [Neuroimage: Clin. 42 (2024) 103598].
Neuroimage Clin
2025
45
Advanced imaging reveals enhanced malignancy in glioblastomas involving the subventricular zone: evidence of increased infiltrative growth and perfusion.
J Neurooncol
2025
171
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343-350
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives.
Strahlenther Onkol
2025
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236-254