Kirschke, Jan S

Schulze-Zachau, Victor; Rommers, Nikki; Ntoulias, Nikolaos; Brehm, Alex; Krug, Nadja; Tsogkas, Ioannis; Mutke, Matthias; Rusche, Thilo; Cervo, Amedeo; Rollo, Claudia; Möhlenbruch, Markus; Jesser, Jessica; Kreiser, Kornelia; Althaus, Katharina; Requena, Manuel; Rodrigo-Gisbert, Marc; Dobrocky, Tomas; Serrallach, Bettina L; Nolte, Christian H; Riegler, Christoph; ... (2024). "Insights into vessel perforations during thrombectomy: Characteristics of a severe complication and the effect of thrombolysis". (In Press). European stroke journal, 23969873241272542, p. 23969873241272542. Sage 10.1177/23969873241272542

Goller, Sophia S; Foreman, Sarah C; Rischewski, Jon F; Weißinger, Jürgen; Dietrich, Anna-Sophia; Schinz, David; Stahl, Robert; Luitjens, Johanna; Siller, Sebastian; Schmidt, Vanessa F; Erber, Bernd; Ricke, Jens; Liebig, Thomas; Kirschke, Jan S; Dieckmeyer, Michael; Gersing, Alexandra S (2023). Differentiation of benign and malignant vertebral fractures using a convolutional neural network to extract CT-based texture features. European spine journal, 32(12), pp. 4314-4320. Springer 10.1007/s00586-023-07838-7

Dieckmeyer, Michael; Sollmann, Nico; Kupfer, Karina; Löffler, Maximilian T; Paprottka, Karolin J; Kirschke, Jan S; Baum, Thomas (2023). Computed Tomography of the Head : A Systematic Review on Acquisition and Reconstruction Techniques to Reduce Radiation Dose. Clinical neuroradiology, 33(3), pp. 591-610. Springer-Verlag 10.1007/s00062-023-01271-5

Schlaeger, Sarah; Shit, Suprosanna; Eichinger, Paul; Hamann, Marco; Opfer, Roland; Krüger, Julia; Dieckmeyer, Michael; Schön, Simon; Mühlau, Mark; Zimmer, Claus; Kirschke, Jan S; Wiestler, Benedikt; Hedderich, Dennis M (2023). AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis. Insights into imaging, 14(1), p. 123. Springer 10.1186/s13244-023-01460-3

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

Bodden, Jannis; Dieckmeyer, Michael; Sollmann, Nico; Burian, Egon; Rühling, Sebastian; Löffler, Maximilian T; Sekuboyina, Anjany; El Husseini, Malek; Zimmer, Claus; Kirschke, Jan S; Baum, Thomas (2023). Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans. Frontiers in endocrinology, 14(1207949), p. 1207949. Frontiers Research Foundation 10.3389/fendo.2023.1207949

Hernandez Petzsche, Moritz R; de la Rosa, Ezequiel; Hanning, Uta; Wiest, Roland; Valenzuela, Waldo; Reyes, Mauricio; Meyer, Maria; Liew, Sook-Lei; Kofler, Florian; Ezhov, Ivan; Robben, David; Hutton, Alexandre; Friedrich, Tassilo; Zarth, Teresa; Bürkle, Johannes; Baran, The Anh; Menze, Björn; Broocks, Gabriel; Meyer, Lukas; Zimmer, Claus; ... (2022). ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. Scientific data, 9(1), p. 762. Nature Publishing Group 10.1038/s41597-022-01875-5

Liew, Sook-Lei; Lo, Bethany P; Donnelly, Miranda R; Zavaliangos-Petropulu, Artemis; Jeong, Jessica N; Barisano, Giuseppe; Hutton, Alexandre; Simon, Julia P; Juliano, Julia M; Suri, Anisha; Wang, Zhizhuo; Abdullah, Aisha; Kim, Jun; Ard, Tyler; Banaj, Nerisa; Borich, Michael R; Boyd, Lara A; Brodtmann, Amy; Buetefisch, Cathrin M; Cao, Lei; ... (2022). A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms. Scientific data, 9(1), p. 320. Nature Publishing Group 10.1038/s41597-022-01401-7

Graetz, Christiane; Gröger, Adriane; Luessi, Felix; Salmen, Anke; Zöller, Daniela; Schultz, Janine; Siller, Nelly; Fleischer, Vinzenz; Bellenberg, Barbara; Berthele, Achim; Biberacher, Viola; Havla, Joachim; Hecker, Michael; Hohlfeld, Reinhard; Infante-Duarte, Carmen; Kirschke, Jan S; Kümpfel, Tania; Linker, Ralf; Paul, Friedemann; Pfeuffer, Steffen; ... (2019). Association of smoking but not HLA-DRB1*15:01, APOE or body mass index with brain atrophy in early multiple sclerosis. Multiple sclerosis journal, 25(5), pp. 661-668. Sage 10.1177/1352458518763541

Mookiah, Muthu Rama Krishnan; Subburaj, Karupppasamy; Mei, Kai; Kopp, Felix K; Kaesmacher, Johannes; Jungmann, Pia M; Foehr, Peter; Noel, Peter B; Kirschke, Jan S; Baum, Thomas (2018). Multidetector Computed Tomography Imaging: Effect of Sparse Sampling and Iterative Reconstruction on Trabecular Bone Microstructure. Journal of computer assisted tomography, 42(3), pp. 441-447. Lippincott Williams & Wilkins 10.1097/RCT.0000000000000710

Fichtner, Jens; Hofmann, Nicole; Rienmüller, Anna; Buchmann, Niels; Gempt, Jens; Kirschke, Jan S; Ringel, Florian; Meyer, Bernhard; Ryang, Yu-Mi (2018). Revision Rate of Misplaced Pedicle Screws of the Thoracolumbar Spine-Comparison of Three-Dimensional Fluoroscopy Navigation with Freehand Placement: A Systematic Analysis and Review of the Literature. World neurosurgery, 109, e24-e32. Elsevier 10.1016/j.wneu.2017.09.091

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