Source Themes

Semi-Supervised Learning of MRI Synthesis without Fully-Sampled Ground Truths

Learning-based translation between MRI contrasts involves supervised deep models trained using high-quality source- and target-contrast …

Mahmut Yurt, Onat Dalmaz, Salman Dar, Muzaffer Özbey, Berk Tınaz, Kader Oguz, Tolga Cukur

Semi-Supervised Learning of MRI Synthesis without Fully-Sampled Ground Truths

COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers

Monitoring of prevalent airborne diseases such as COVID-19 characteristically involve respiratory assessments. While auscultation is a …

Idil Aytekin, Onat Dalmaz, Kaan Gonc, Haydar Ankishan, Emine U Saritas, Ulas Bagci, Haydar Celik, Tolga Cukur

COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers

Unsupervised Medical Image Translation with Adversarial Diffusion Models

Imputation of missing images via source-to-target modality translation can facilitate downstream tasks in medical imaging. A pervasive …

Muzaffer Özbey, Onat Dalmaz, Salman Dar, Hasan Atakan Bedel, Saban Ozturk, Alper Gungor, Tolga Cukur

Unsupervised Medical Image Translation with Adversarial Diffusion Models

One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis

Multi-institutional collaborations are key for learning generalizable MRI synthesis models that translate source- onto target-contrast …

Onat Dalmaz, Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman UH Dar, Emir Ceyani, Salman Avestimehr, Tolga Cukur

One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis

BolT: Fused Window Transformers for fMRI Time Series Analysis

Deep-learning models have enabled performance leaps in analysis of high-dimensional functional MRI (fMRI) data. Yet, many previous …

Hasan Atakan Bedel, Irmak Sivgin, Onat Dalmaz, Salman Dar, Tolga Cukur

BolT: Fused Window Transformers for fMRI Time Series Analysis

ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis

Generative adversarial models with convolutional neural network (CNN) backbones have recently been established as state-of-the-art in …

Onat Dalmaz, Mahmut Yurt, Tolga Cukur

ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis