output
20062026
most citedNWChem: Past, Present, and Future

699 citations

50 papers

cs.CR2026★ 1 cited

An Approach to Generate Attack Graphs with a Case Study on Siemens PCS7 Blueprint for Water Treatment Plants

Lucas Miranda, Carlos Banjar, Daniel Menasche +3

Assessing the security posture of Industrial Control Systems (ICS) is critical for protecting essential infrastructure. However, the complexity and scale of these environments make…

cs.CR2026

A Transfer Learning Approach to Unveil the Role of Windows Common Configuration Enumerations in IEC 62443 Compliance

Miguel Bicudo, Estevão Rabello, Daniel Menasché +4

Industrial control systems (ICS) depend on highly heterogeneous environments where Linux, proprietary real-time operating systems, and Windows coexist. Although the IEC 62443-3-3 s…

cs.CR2026

Characterizing and Modeling the GitHub Security Advisories Review Pipeline

Claudio Segal, Paulo Segal, Carlos Eduardo Banjar +8

GitHub Security Advisories (GHSA) have become a central component of open-source vulnerability disclosure and are widely used by developers and security tools. A distinctive featur…

eess.IV2025

Multi-Plane Vision Transformer for Hemorrhage Classification Using Axial and Sagittal MRI Data

Badhan Kumar Das, Gengyan Zhao, Boris Mailhe +4

Identifying brain hemorrhages from magnetic resonance imaging (MRI) is a critical task for healthcare professionals. The diverse nature of MRI acquisitions with varying contrasts a…

physics.med-ph2025★ 14 cited

Positronium Imaging: History, Current Status, and Future Perspectives

Paweł Moskal, Aleksander Bilewicz, Manish Das +11

Positronium imaging was recently proposed to image the properties of positronium atoms in the patient body. Positronium properties depend on the size of intramolecular voids and ox…

eess.IV2025★ 5 cited

Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging

Badhan Kumar Das, Gengyan Zhao, Han Liu +4

The Masked Autoencoder (MAE) has recently demonstrated effectiveness in pre-training Vision Transformers (ViT) for analyzing natural images. By reconstructing complete images from…