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Tetteh, Giles; Navarro, Fernando; Meier, Raphael; Kaesmacher, Johannes; Paetzold, Johannes C; Kirschke, Jan S; Zimmer, Claus; Wiest, Roland; Menze, Bjoern H (2023). A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images. Frontiers in neurology, 14(1039693), p. 1039693. Frontiers Media S.A. 10.3389/fneur.2023.1039693
Xue, Song; Gafita, Andrei; Dong, Chao; Zhao, Yu; Tetteh, Giles; Menze, Bjoern H; Ziegler, Sibylle; Weber, Wolfgang; Afshar-Oromieh, Ali; Rominger, Axel; Eiber, Matthias; Shi, Kuangyu (2022). Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy. European journal of nuclear medicine and molecular imaging, 49(12), pp. 4064-4072. Springer 10.1007/s00259-022-05883-w
Maier, Oskar; Menze, Bjoern H; von der Gablentz, Janina; Häni, Levin; Heinrich, Mattias P; Liebrand, Matthias; Winzeck, Stefan; Basit, Abdul; Bentley, Paul; Chen, Liang; Christiaens, Daan; Dutil, Francis; Egger, Karl; Feng, Chaolu; Glocker, Ben; Götz, Michael; Haeck, Tom; Halme, Hanna-Leena; Havaei, Mohammad; Iftekharuddin, Khan M; ... (2016). ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical image analysis, 35, pp. 250-269. Elsevier 10.1016/j.media.2016.07.009
