no code implementations • 21 Aug 2023 • Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao
Early surgical treatment of brain tumors is crucial in reducing patient mortality rates.
1 code implementation • 6 Aug 2023 • Amirhossein Rasoulian, Arash Harirpoush, Soorena Salari, Yiming Xiao
In the paper, we propose FocalSegNet, a novel 3D focal modulation UNet, to detect an aneurysm and offer an initial, coarse segmentation of it from time-of-flight MRA image patches, which is further refined with a dense conditional random field (CRF) post-processing layer to produce a final segmentation map.
no code implementations • 26 Jul 2023 • Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao
Specifically, two convolutional neural networks were trained jointly to encode image features in MRI and US scans to help match the US image patch that contain the corresponding landmarks in the MRI.
no code implementations • 26 Jul 2023 • Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao
In brain tumor resection, accurate removal of cancerous tissues while preserving eloquent regions is crucial to the safety and outcomes of the treatment.
1 code implementation • 11 Apr 2023 • Amirhossein Rasoulian, Soorena Salari, Yiming Xiao
With a mean Dice score of 0. 44, our technique achieved similar ICH segmentation performance as the popular U-Net and Swin-UNETR models with full supervision and outperformed a similar weakly supervised approach using GradCAM, demonstrating the excellent potential of the proposed framework in challenging medical image segmentation tasks.
1 code implementation • 18 May 2021 • Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
Differently from most of existing studies, which used either CT scan or X-ray images in COVID-19-case classification, we present a simple but efficient deep learning feature fusion model, called UncertaintyFuseNet, which is able to classify accurately large datasets of both of these types of images.
no code implementations • 24 Nov 2020 • Soorena Salari, Nasser Sadati
This paper presents a novel feature fusion-based deep learning model (called CASU2Net) for fault detection in offshore wind turbines.