activity
20202026
most citedE Pluribus Unum Interpretable Convolutional Neural Networks

8 citations · 13 across the 7 of their papers we have counts for

collaborators

8 papers

cs.RO2026

Image-Based Path-Planning for Navigation of Soft-Growing Robots in the Spinal Sub-Arachnoid Space

George Dimas, Panagiotis G. Kalozoumis, Panagiotis Vartholomeos +1

Recently, soft robotic procedures are being developed aiming at achieving targeted minimally invasive operations or drug administration in specific locations in the human body. Acc…

cs.CV2026

Self-Supervised Perceptually Interpretable Monocular Depth Estimation

Zain Ul Abidin, George Dimas, Dimitris K. Iakovidis

Self-supervised monocular depth estimation (MDE) enables depth prediction from monocular images without requiring ground-truth supervision, making it attractive for large-scale and…

eess.SY2026

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features

George Dimas, Amin Masoumi, Mert Korkali

Security-constrained unit commitment (SCUC) couples binary commitment, economic dispatch, reserves, and network security over a multiperiod horizon, making an exact solution comput…

eess.SY2026

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features

George Dimas, Amin Masoumi, Mert Korkali

Security-constrained unit commitment (SCUC) couples binary commitment, economic dispatch, reserves, and network security over a multiperiod horizon, which makes an exact solution e…

cs.CV2025

Interpretable Similarity of Synthetic Image Utility

Panagiota Gatoula, George Dimas, Dimitris K. Iakovidis

Synthetic medical image data can unlock the potential of deep learning (DL)-based clinical decision support (CDS) systems through the creation of large scale, privacy-preserving, t…

cs.CV2022★ 8 cited

E Pluribus Unum Interpretable Convolutional Neural Networks

George Dimas, Eirini Cholopoulou, Dimitris K. Iakovidis

The adoption of Convolutional Neural Network (CNN) models in high-stake domains is hindered by their inability to meet society's demand for transparency in decision-making. So far,…

eess.SP2021★ 2 cited

Roadmap on Signal Processing for Next Generation Measurement Systems

D. K. Iakovidis, M. Ooi, Y. C. Kuang +31

Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Time series data, image…

cs.CV2020★ 3 cited

SalSum: Saliency-based Video Summarization using Generative Adversarial Networks

George Pantazis, George Dimas, Dimitris K. Iakovidis

The huge amount of video data produced daily by camera-based systems, such as surveilance, medical and telecommunication systems, emerges the need for effective video summarization…