Výsledky vyhledávání

Report

Disrupting Diffusion-based Inpainters with Semantic Digression

Autor: Son, Geonho, Lee, Juhun, Woo, Simon S.

The fabrication of visual misinformation on the web and social media has increased exponentially with the advent of foundational text-to-image diffusion models. Namely, Stable Diffusion inpainters allow the synthesis of maliciously inpainted images o

Externí odkaz: http://arxiv.org/abs/2407.10277

Zobrazit plný text záznamu

Report

All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models

Autor: Hong, Seunghoo, Lee, Juhun, Woo, Simon S.

Text-to-Image models such as Stable Diffusion have shown impressive image generation synthesis, thanks to the utilization of large-scale datasets. However, these datasets may contain sexually explicit, copyrighted, or undesirable content, which allow

Externí odkaz: http://arxiv.org/abs/2312.12807

Zobrazit plný text záznamu

Report

Identifying Women with Mammographically-Occult Breast Cancer Leveraging GAN-Simulated Mammograms

Autor: Lee, Juhun, Nishikawa, Robert M.

Our objective is to show the feasibility of using simulated mammograms to detect mammographically-occult (MO) cancer in women with dense breasts and a normal screening mammogram who could be triaged for additional screening with magnetic resonance im

Externí odkaz: http://arxiv.org/abs/2109.12113

Zobrazit plný text záznamu

Akademický článek

Primary Solid Pseudopapillary Tumor of the Ovary: A Case Report and Review of the Literature.

Autor: Lee, Juhun¹ (AUTHOR) gyjhlee@knu.ac.kr, Song, Seung Ho² (AUTHOR) jojocrom@naver.com, Lee, In Hee³ (AUTHOR) cakey83@hanmail.net, Kim, Dong Ja⁴ (AUTHOR) dongja222@knu.ac.kr, Lee, Hyun Jung¹ (AUTHOR) hyunjunglee@knu.ac.kr

Publikováno v: Journal of Clinical Medicine. May2024, Vol. 13 Issue 10, p2791. 9p.