no code implementations • 22 May 2024 • Omer F. Atli, Bilal Kabas, Fuat Arslan, Mahmut Yurt, Onat Dalmaz, Tolga Çukur
In recent years, deep learning models comprising transformer components have pushed the performance envelope in medical image synthesis tasks.
1 code implementation • 10 May 2024 • Fuat Arslan, Bilal Kabas, Onat Dalmaz, Muzaffer Ozbey, Tolga Çukur
Here, we propose a novel self-consistent recursive diffusion bridge (SelfRDB) for improved performance in medical image translation.
no code implementations • 3 Nov 2023 • Can Koz, Onat Dalmaz, Mertay Dayanc
In this paper, we propose a novel multi-task learning method for OCTA segmentation, called OCTA-MTL, that leverages an image-to-DT (Distance Transform) branch and an adaptive loss combination strategy.
1 code implementation • 2 Aug 2023 • Muhammad U. Mirza, Onat Dalmaz, Hasan A. Bedel, Gokberk Elmas, Yilmaz Korkmaz, Alper Gungor, Salman UH Dar, Tolga Çukur
Instead of the target transformation from undersampled to fully-sampled data required for MRI reconstruction, common diffusion priors are trained to learn a task-agnostic transformation from an asymptotic start-point of Gaussian noise onto the finite end-point of fully-sampled data.
1 code implementation • 19 Jul 2022 • Idil Aytekin, Onat Dalmaz, Kaan Gonc, Haydar Ankishan, Emine U Saritas, Ulas Bagci, Haydar Celik, Tolga Cukur
Monitoring of prevalent airborne diseases such as COVID-19 characteristically involves respiratory assessments.
1 code implementation • 17 Jul 2022 • Muzaffer Özbey, Onat Dalmaz, Salman UH Dar, Hasan A Bedel, Şaban Özturk, Alper Güngör, Tolga Çukur
Extensive assessments are reported on the utility of SynDiff against competing GAN and diffusion models in multi-contrast MRI and MRI-CT translation.
Ranked #7 on Image-to-Image Translation on IXI
1 code implementation • 13 Jul 2022 • Onat Dalmaz, Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman UH Dar, Emir Ceyani, Salman Avestimehr, Tolga Çukur
As such, pFLSynth enables training of a unified synthesis model that can reliably generalize across multiple sites and translation tasks.
1 code implementation • 23 May 2022 • Hasan Atakan Bedel, Irmak Şıvgın, Onat Dalmaz, Salman Ul Hassan Dar, Tolga Çukur
Encoding is performed on temporally-overlapped windows within the time series to capture local representations.
2 code implementations • 30 Jun 2021 • Onat Dalmaz, Mahmut Yurt, Tolga Çukur
Here, we propose a novel generative adversarial approach for medical image synthesis, ResViT, that leverages the contextual sensitivity of vision transformers along with the precision of convolution operators and realism of adversarial learning.}
Ranked #1 on Image-to-Image Translation on IXI