4 papers
WebMaze: Defending Against LLM-Powered Web Scanners with Functionality-Coupled Deception
Pengfei Zeng, Changhua Luo, Penghui Li
Large language models (LLMs) have enabled more effective vulnerability scanning of web applications. However, these capabilities also make it significantly easier for attackers to…
MC-GenRef: Annotation-free mammography microcalcification segmentation with generative posterior refinement
Hyunwoo Cho, Yeeun Kwon, Min Jung Kim +1
Microcalcification (MC) analysis is clinically important in screening mammography because clustered puncta can be an early sign of malignancy, yet dense MC segmentation remains cha…
EdgeSRIE: A hybrid deep learning framework for real-time speckle reduction and image enhancement on portable ultrasound systems
Hyunwoo Cho, Jongsoo Lee, Jinbum Kang +1
Speckle patterns in ultrasound images often obscure anatomical details, leading to diagnostic uncertainty. Recently, various deep learning (DL)-based techniques have been introduce…
Deep Coherence Learning: An Unsupervised Deep Beamformer for High Quality Single Plane Wave Imaging in Medical Ultrasound
Hyunwoo Cho, Seongjun Park, Jinbum Kang +1
Plane wave imaging (PWI) in medical ultrasound is becoming an important reconstruction method with high frame rates and new clinical applications. Recently, single PWI based on dee…