A comprehensive review on brain tumor segmentation and classification of MRI images

CS Rao, K Karunakara - Multimedia Tools and Applications, 2021 - Springer
In the analysis of medical images, one of the challenging tasks is the recognition of brain
tumours via medical resonance images (MRIs). The diagnosis process is still tedious due to …

[HTML][HTML] A fully automatic method for vascular tortuosity feature extraction in the supra-aortic region: unraveling possibilities in stroke treatment planning

P Canals, S Balocco, O Díaz, J Li… - … Medical Imaging and …, 2023 - Elsevier
Vascular tortuosity of supra-aortic vessels is widely considered one of the main reasons for
failure and delays in endovascular treatment of large vessel occlusion in patients with acute …

[HTML][HTML] Knowledge-based automated planning system for StereoElectroEncephaloGraphy: A center-based scenario

D Scorza, M Rizzi, E De Momi, C Cortés… - Journal of Biomedical …, 2020 - Elsevier
Surgical planning for StereoElectroEncephaloGraphy (SEEG) is a complex and patient
specific task, where the experience and medical workflow of each institution may influence …

Image Guidance for Intracranial Surgery with Supervisory-Control Robots

F Cardinale, M Revay, P d'Orio, S Raspante… - … : Principles and Practice, 2022 - Springer
The final accuracy of a stereotactic procedure results not only from the intrinsic
characteristics of the robotic assistant but also from many other components of the global …

Decision support system for StereoElectroEncephaloGraphy trajectory planning

D Scorza - 2019 - politesi.polimi.it
Abstract STEREO-ELECTROENCEPHALOGRAPHY (SEEG) is a minimally invasive
technique which allows the exploration of brain's activity in patients affected by focal …