3D hybrid imaging system could address limitations of MRI, CT and ultrasound

In a proof-of-concept study, researchers from the Keck School of Medicine of USC and the California Institute of Technology ...
IEEE

MBUNeXt: Multibranch Encoder Aggregation Network Based on Layer-Fusion Strategy for Multimodal Brain Tumor Segmentation

Abstract: Multimodal brain tumor segmentation (BraTS), integrated with surgical robots and navigation systems, enables accurate surgical interventions while maximizing the preservation of surrounding ...
IEEE

DIMA: DIffusing Motion Artifacts for Unsupervised Correction in Brain MRI Images

Abstract: Motion artifacts remain a significant challenge in Magnetic Resonance Imaging (MRI), compromising diagnostic quality and potentially leading to misdiagnoses or repeated scans. Existing deep ...