602 citations · 816 across the 24 of their papers we have counts for
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DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI
Hasan Atakan Bedel, Tolga Çukur
Deep learning analyses have offered sensitivity leaps in detection of cognitive states from functional MRI (fMRI) measurements across the brain. Yet, as deep models perform hierarc…
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
Yilmaz Korkmaz, Tolga Cukur, Vishal M. Patel
Magnetic Resonance Imaging (MRI) produces excellent soft tissue contrast, albeit it is an inherently slow imaging modality. Promising deep learning methods have recently been propo…
FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPI
Abdallah Zaid Alkilani, Tolga Çukur, Emine Ulku Saritas
Recent learning-based correction approaches in EPI estimate a displacement field, unwarp the reversed-PE image pair with the estimated field, and average the unwarped pair to yield…
JointNET: A Deep Model for Predicting Active Sacroiliitis from Sacroiliac Joint Radiography
Sevcan Turk, Ahmet Demirkaya, M Yigit Turali +9
Purpose: To develop a deep learning model that predicts active inflammation from sacroiliac joint radiographs and to compare the success with radiologists. Materials and Methods: A…