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Herzog, Lisa; Kook, Lucas; Hamann, Janne; Globas, Christoph; Heldner, Mirjam R; Seiffge, David; Antonenko, Kateryna; Dobrocky, Tomas; Panos, Leonidas; Kaesmacher, Johannes; Fischer, Urs; Gralla, Jan; Arnold, Marcel; Wiest, Roland; Luft, Andreas R; Sick, Beate; Wegener, Susanne (2023). Deep Learning Versus Neurologists: Functional Outcome Prediction in LVO Stroke Patients Undergoing Mechanical Thrombectomy. Stroke, 54(7), pp. 1761-1769. American Heart Association 10.1161/STROKEAHA.123.042496
Hamann, Janne; Herzog, Lisa; Wehrli, Carina; Dobrocky, Tomas; Bink, Andrea; Piccirelli, Marco; Panos, Leonidas; Kaesmacher, Johannes; Fischer, Urs; Stippich, Christoph; Luft, Andreas R; Gralla, Jan; Arnold, Marcel; Wiest, Roland; Sick, Beate; Wegener, Susanne (2021). Machine learning based outcome prediction in stroke patients with MCA-M1 occlusions and early thrombectomy. European journal of neurology, 28(4), pp. 1234-1243. Wiley 10.1111/ene.14651
Porz, Nicole; Knecht, Urspeter; Sick, Beate; Murina, Elvis; Da Silva Mendes Pedrosa de Barros, Nuno Miguel; Schucht, Philippe; Herrmann, Evelyn; Gralla, Jan; Wiest, Roland; El-Koussy, Marwan; Slotboom, Johannes (2018). Computer-aided radiological diagnostics improves the preoperative diagnoses of medulloblastoma, pilocytic astrocytoma, and ependymoma. Clinical and translational neuroscience, 2(2), 2514183X1878660. Sage Publications 10.1177/2514183X18786602
