4Application Development, Digital Innovation Hub, Erlangen, Germany
5Scientific Collaborations and Strategic Partnerships, Siemens Healthcare S.r.l., Milan, Italy
6Università degli Studi di Napoli Federico II, Naples, Italy
Presenting Author: Guido Buonincontri
Synopsis
Motivation:
Goals:
Approach:
Results:
Full abstract & presentation
The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.
Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.
To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.
1. Thacharodi A, Singh P, Meenatchi R, et al (2024) Revolutionizing healthcare and medicine: The impact of modern technologies for a healthier future—A comprehensive review. Health Care Sci 3:329–349. https://doi.org/10.1002/hcs2.115 [doi]
2. Zaman A, Yassin MM, Mehmud I, et al (2025) Challenges, optimization strategies, and future horizons of advanced deep learning approaches for brain lesion segmentation. Methods 239:140–168. https://doi.org/10.1016/j.ymeth.2025.04.016 [doi]
3. Thomalla G, Cheng B, Ebinger M, et al (2011) DWI-FLAIR mismatch for the identification of patients with acute ischaemic stroke within 4·5 h of symptom onset (PRE-FLAIR): a multicentre observational study. Lancet Neurol 10:978–986. https://doi.org/10.1016/s1474-4422(11)70192-2 [doi]
4. Turc G, Bhogal P, Fischer U, et al (2019) European Stroke Organisation (ESO) – European Society for Minimally Invasive Neurological Therapy (ESMINT) Guidelines on Mechanical Thrombectomy in Acute Ischaemic Stroke Endorsed by Stroke Alliance for Europe (SAFE). Eur Stroke J 4:6–12. https://doi.org/10.1177/2396987319832140 [doi]
5. Gragnano E, Cocozza S, Rizzuti M, et al (2025) Evolution of CT perfusion software in stroke imaging: from deconvolution to artificial intelligence. Eur Radiol. https://doi.org/10.1007/s00330-025-11779-8 [doi]