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Zhang, Ray Zirui;Ezhov, Ivan;Balcerak, Michal;Zhu, Andy;Wiestler, Benedikt;Menze, Bjoern;Lowengrub, John S
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans.
Med Image Anal
2025
101

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Weidner, Jonas;Ezhov, Ivan;Balcerak, Michal;Metz, Marie-Christin;Litvinov, Sergey;Kaltenbach, Sebastian;Feiner, Leonhard;Lux, Laurin;Kofler, Florian;Lipkova, Jana;Latz, Jonas;Rueckert, Daniel;Menze, Bjoern;Wiestler, Benedikt
A Learnable Prior Improves Inverse Tumor Growth Modeling.
IEEE Trans Med Imaging
2025
44
3
1297-1307

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Voon, Cui Ci;Wiltgen, Tun;Wiestler, Benedikt;Schlaeger, Sarah;Mühlau, Mark
Corrigendum to "Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis" [Neuroimage: Clin. 42 (2024) 103598].
Neuroimage Clin
2025
45

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Griessmair, Michael;Schramm, Severin;Ziegenfeuter, Julian;Canisius, Julian;Jung, Kirsten;Delbridge, Claire;Schmidt-Graf, Friederike;Mitsdoerffer, Meike;Zimmer, Claus;Meyer, Bernhard;Metz, Marie-Christin;Wiestler, Benedikt
Advanced imaging reveals enhanced malignancy in glioblastomas involving the subventricular zone: evidence of increased infiltrative growth and perfusion.
J Neurooncol
2025
171
2
343-350

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Erdur, Ayhan Can;Rusche, Daniel;Scholz, Daniel;Kiechle, Johannes;Fischer, Stefan;Llorián-Salvador, Óscar;Buchner, Josef A;Nguyen, Mai Q;Etzel, Lucas;Weidner, Jonas;Metz, Marie-Christin;Wiestler, Benedikt;Schnabel, Julia;Rueckert, Daniel;Combs, Stephanie E;Peeken, Jan C
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives.
Strahlenther Onkol
2025
201
3
236-254