9 citations · 9 across the 6 of their papers we have counts for
6 papers
Conditional Flow Matching for Cross-Field MRI Harmonisation
Baris Imre, Aram Salehi, Levente Baljer +3
Magnetic resonance images of the same subject look markedly different across field strengths, which complicates the comparison and pooling of data across sites. We address cross-fi…
Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction
Efe Ilıcak, Baris Imre, Chloé Najac +4
Deep unrolled networks (DUNs) integrate physical forward models with learned regularization in cascaded network architectures, achieving exceptional performance in inverse problems…
Physics-Guided Dual-Domain Network with Attention-Based Fusion for Portable MRI Reconstruction
Efe Ilıcak, Baris Imre, Chloé Najac +4
Portable low-field magnetic resonance imaging (MRI) systems have gained renewed interest owing to their cost effectiveness and point-of-care imaging capabilities. Yet, portable MRI…
Physics-Informed Deep Unrolled Network for Portable MR Image Reconstruction
Efe Ilıcak, Chinmay Rao, Chloé Najac +6
Magnetic resonance imaging (MRI) is the gold standard imaging modality for numerous diagnostic tasks, yet its usefulness is tempered due to its high cost and infrastructural requir…
Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma
Baris Imre, Elina Thibeau-Sutre, Jorieke Reimer +2
Chronic subdural hematoma (cSDH) is a common neurological condition characterized by the accumulation of blood between the brain and the dura mater. This accumulation of blood can…
LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes
Julian Suk, Baris Imre, Jelmer M. Wolterink
Many anatomical structures can be described by surface or volume meshes. Machine learning is a promising tool to extract information from these 3D models. However, high-fidelity me…