86 citations · 95 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
Domain Aware Multi-Task Pretraining of 3D Swin Transformer for T1-weighted Brain MRI
Jonghun Kim, Mansu Kim, Hyunjin Park
The scarcity of annotated medical images is a major bottleneck in developing learning models for medical image analysis. Hence, recent studies have focused on pretrained models wit…
RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features
Inye Na, Jonghun Kim, Eun Sook Ko +1
Motivated by the question, "Can we generate tumors with desired attributes?'' this study leverages radiomics features to explore the feasibility of generating synthetic tumor image…
Radiomics-guided Multimodal Self-attention Network for Predicting Pathological Complete Response in Breast MRI
Jonghun Kim, Hyunjin Park
Breast cancer is the most prevalent cancer among women and predicting pathologic complete response (pCR) after anti-cancer treatment is crucial for patient prognosis and treatment…
Synthetic Tumor Manipulation: With Radiomics Features
Inye Na, Jonghun Kim, Hyunjin Park
We introduce RadiomicsFill, a synthetic tumor generator conditioned on radiomics features, enabling detailed control and individual manipulation of tumor subregions. This condition…
Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study
Jonghun Kim, Hyunjin Park
Multi-modal images play a crucial role in comprehensive evaluations in medical image analysis providing complementary information for identifying clinically important biomarkers. H…