Showing physics.med-phShow all
3 papers · 1 filter
physics.med-ph2024
Exploring Methods for Integrating and Augmenting Multimodal Data to Improve Prognostic Accuracy in Imbalanced Datasets for Intraoperative Aneurysm Occlusion
Parisa Naghdi, Mohammad Mahdi Shiraz Bhurwani, Ahmad Rahmatpour +5
This study evaluates a multimodal machine learning framework for predicting treatment outcomes in intracranial aneurysms (IAs). Combining angiographic parametric imaging (API), pat…
physics.med-ph2024
Leveraging Convolutional Neural Networks for 3D Quantitative Angiography Reconstructions from Sparse Cone Beam CT Projections Utilizing CFD Data
Ahmad Rahmatpour, Allison Shields, Parmita Mondal +6
This study leverages convolutional neural networks to enhance the temporal resolution of 3D angiography in intracranial aneurysms focusing on the reconstruction of volumetric contr…
physics.med-ph2024
Injection Bias Reduction Techniques in Quantitative Angiography Using Patient-Specific Phantoms of Intracranial Aneurysm
Parmita Mondal, Kyle A Williams, Parisa Naghdi +4
In intracranial aneurysm (IA) treatment, digital subtraction angiography (DSA) monitors device-induced hemodynamic changes. Quantitative angiography (QA) provides more precise asse…