Dataset Groups Activity Stream AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning Perfusion imaging is crucial in acute ischemic stroke for quantifying the salvageable penumbra and irreversibly damaged core lesions. BibTex: @dataset{Ezequiel_de_la_Rosa_and_Diana_M_Sima_and_Bjoern_Menze_and_Jan_S_Kirschke_and_David_Robbena_2024, abstract = {Perfusion imaging is crucial in acute ischemic stroke for quantifying the salvageable penumbra and irreversibly damaged core lesions.}, author = {Ezequiel de la Rosa and Diana M. Sima and Bjoern Menze and Jan S. Kirschke and David Robbena}, doi = {10.57702/zop54gss}, institution = {No Organization}, keyword = {'Arterial input function', 'Deep learning', 'Ischemic stroke', 'Perfusion imaging'}, month = {dec}, publisher = {TIB}, title = {AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning}, url = {https://service.tib.eu/ldmservice/dataset/aifnet--automatic-vascular-function-estimation-for-perfusion-analysis-using-deep-learning}, year = {2024} }
