no code implementations • 22 Apr 2024 • Amirreza Hashemi, Sayantan Dutta, Bertrand Georgeot, Denis Kouame, Hamid Sabet
Our approach views medical images as amorphous structures akin to those found in condensed matter physics and we propose an algorithm that incorporates the concept of mode resolved localization directly into the denoising process.
1 code implementation • 17 Dec 2023 • Amirreza Hashemi
This study presents a comprehensive evaluation of tools available on the HuggingFace platform for two pivotal applications in artificial intelligence: image segmentation and voice conversion.
no code implementations • 6 Jul 2023 • Amirreza Hashemi, Yuemeng Feng, Arman Rahmim, Hamid Sabet
This work investigates use of equivariant neural networks as efficient and high-performance frameworks for image reconstruction and denoising in nuclear medicine.
no code implementations • 3 Dec 2020 • Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani
The ability of the method to predict global properties from spatially irregular measurements with high accuracy is demonstrated by predicting the drag force associated with laminar flow around airfoils from scattered velocity measurements.