6 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.IV2024
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…
eess.IV2024★ 6 cited
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…
eess.IV2023
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…