output
20122026
most citedREFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

858 citations

Showing 2025Show all

10 papers · 1 filter

cs.CR2025★ 5 cited

Elevating Intrusion Detection and Security Fortification in Intelligent Networks through Cutting-Edge Machine Learning Paradigms

Md Minhazul Islam Munna, Md Mahbubur Rahman, Jaroslav Frnda +2

The proliferation of IoT devices and their reliance on Wi-Fi networks have introduced significant security vulnerabilities, particularly the KRACK and Kr00k attacks, which exploit…

cond-mat.mtrl-sci2025★ 1 cited

Awakening catalytically active surface of BaRuO3 thin film for alkaline hydrogen evolution

Jegon Lee, Dohyun Kim, Seulgi Ji +9

The dynamic reconstruction of surfaces during electrochemical reactions plays a crucial role in determining the performance of electrocatalysts. However, because reconstructions oc…

cs.CV2025★ 7 cited

An Anisotropic Cross-View Texture Transfer with Multi-Reference Non-Local Attention for CT Slice Interpolation

Kwang-Hyun Uhm, Hyunjun Cho, Sung-Hoo Hong +1

Computed tomography (CT) is one of the most widely used non-invasive imaging modalities for medical diagnosis. In clinical practice, CT images are usually acquired with large slice…

cs.RO2025★ 1 cited

Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments

Woonsang Kang, Joohyung Lee, Seungjun Kim +2

Grasp pose detection (GPD) is a fundamental capability for robotic autonomy, but its reliance on large, diverse datasets creates significant data privacy and centralization challen…

physics.plasm-ph2025★ 2 cited

Upper Limit of Fusion Reactivity in Laser-Driven Reaction

Eunseok Hwang, Myung-Ki Cheoun, Dukjae Jang

We explore the averaged fusion reactivity of the reaction in tabletop laser experiments using a plasma expansion model. We investigate the energy distribution of…

eess.IV2025★ 40 cited

Deep Perceptual Enhancement for Medical Image Analysis

S M A Sharif, Rizwan Ali Naqvi, Mithun Biswas +1

Due to numerous hardware shortcomings, medical image acquisition devices are susceptible to producing low-quality (i.e., low contrast, inappropriate brightness, noisy, etc.) images…