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Jonghun Kim

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Preprint Oct 2026

Mixture of Multi-Sequence Feature Difference for Contrast-Enhanced MRI Synthesis

Contrast-enhanced magnetic resonance imaging (CE-MRI) is crucial for accurately diagnosing and segmenting brain tumors. However, the acquisition of CE-MRI requires injecting contrast agents, which poses potential health risks and increases scan costs. Here, we propose a CE-MRI synthesis method from non-contrast sequenc...

Jonghun Kim, Junmo Kwon, Hyunjin Park · 0 citations
Jul 2026

Posterior Samplings are Missing Modalities Generators for Medical Image Translation

A unified framework that formulates missing-modality generation as a linear inverse problem under a joint distribution and solves it via posterior sampling with a flow matching model is proposed, which can reconstruct arbitrary missing modalities at inference time by guiding the sampling trajectory to enforce measureme...

Jonghun Kim · 0 citations
Jul 2026

Multi-LLM Collaborative MRI Report Generation for Visual Instruction Tuning in Brain Oncology

A new method for creating a 3D image-text dataset for brain oncology using 3D MRI scans of glioma and meningioma cases is introduced and a cooperative system in which several LLMs work together to generate and check reports is used, ensuring that they are accurate and clear.

Sinyoung Ra, Jonghun Kim, Hyunjin Park · 0 citations

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