From the 1 of 8 linked papers with an AI index.
8 papers
Posterior Samplings are Missing Modalities Generators for Medical Image Translation
Jonghun Kim
Magnetic resonance imaging comes in various modality contrasts that provide complementary anatomical and pathological information. Complete multimodal acquisitions are often unavai…
Multi-LLM Collaborative MRI Report Generation for Visual Instruction Tuning in Brain Oncology
Sinyoung Ra, Jonghun Kim, Hyunjin Park
The paper presents a method for building a 3D MRI‑text dataset for brain tumors and uses multiple large language models working together to generate and verify radiology reports, t…
Visual Instruction-Finetuned Language Model for Versatile Brain MR Image Tasks
Jonghun Kim, Sinyoung Ra, Hyunjin Park
LLMs have demonstrated remarkable capabilities in linguistic reasoning and are increasingly adept at vision-language tasks. The integration of image tokens into transformers has en…
Simulating Post-Neoadjuvant Chemotherapy Breast Cancer MRI via Diffusion Model with Prompt Tuning
Jonghun Kim, Hyunjin Park
Neoadjuvant chemotherapy (NAC) is a common therapy option before the main surgery for breast cancer. Response to NAC is monitored using follow-up dynamic contrast-enhanced magnetic…
Tumor Synthesis conditioned on Radiomics
Jonghun Kim, Inye Na, Eun Sook Ko +1
Due to privacy concerns, obtaining large datasets is challenging in medical image analysis, especially with 3D modalities like Computed Tomography (CT) and Magnetic Resonance Imagi…
Privacy-Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
Jonghun Kim, Gyeongdeok Jo, Sinyoung Ra +1
Medical imaging data contain sensitive patient information requiring strong privacy protection. Many analytical setups require data to be sent to a server for inference purposes. H…