no code implementations • 9 Oct 2023 • Şaban Öztürk, M. Yiğit Turalı, Tolga Çukur
While CNNs were previously augmented with attention maps or spatial masks to guide focus on potentially critical regions, learning localization guidance under heterogeneity in the spatial distribution of pathology is challenging.
1 code implementation • 6 Jan 2023 • Salman UH Dar, Şaban Öztürk, Muzaffer Özbey, Tolga Çukur
To alleviate error propagation, PSFNet combines its SS and SG priors via a novel parallel-stream architecture with learnable fusion parameters.
no code implementations • 1 Jan 2023 • Irmak Sivgin, Hasan A. Bedel, Şaban Öztürk, Tolga Çukur
Receiving brain regions as nodes and blood-oxygen-level-dependent (BOLD) signals as node inputs, the proposed GraphCorr method leverages a node embedder module based on a transformer encoder to capture temporally-windowed latent representations of BOLD signals.
no code implementations • 22 Nov 2022 • Şaban Öztürk, Emin Celik, Tolga Cukur
Broadspread use of medical imaging devices with digital storage has paved the way for curation of substantial data repositories.
1 code implementation • 12 Jul 2022 • Alper Güngör, Salman UH Dar, Şaban Öztürk, Yilmaz Korkmaz, Gokberk Elmas, Muzaffer Özbey, Tolga Çukur
A two-phase reconstruction is executed following training: a rapid-diffusion phase that produces an initial reconstruction with the trained prior, and an adaptation phase that further refines the result by updating the prior to minimize data-consistency loss.
no code implementations • 11 Nov 2020 • Umut Özkaya, Şaban Öztürk, Serkan Budak, Farid Melgani, Kemal Polat
Unlike the pre-trained Convolutional Neural Networks (CNN) trained with the transfer learning method, the CSVM model is trained as a scratch.