output
20152026
most citedAnomaly Detection in Medical Imaging -- A Mini Review

101 citations

35 papers

cs.CR2026

ISIA-AF: Orchestrating Reproducible Attacks and Multi-Source Data Collection for OT Systems

Stefan Manfred Haratzmüller, Thomas Rosenstatter, Olaf Saßnick +2

Operational Technology (OT) environments require realistic, reproducible security datasets, yet existing approaches often lack automation, multi-source data capture, and sufficient…

eess.SY2026

Towards Reproducible Test Annotation for Cyber-Physical Energy Systems using Ontology-driven Dataspaces

Kai Heussen, Jawad Kazmi, Narges Mehran +3

Reproducibility, traceability, and transparency in testing cyber-physical energy systems are crucial for scientific advancement and cross-laboratory collaboration. Current experime…

cs.CL2026

Evaluating Austrian A-Level German Essays with Large Language Models for Automated Essay Scoring

Jonas Kubesch, Lena Huber, Clemens Havas

Automated Essay Scoring (AES) has been explored for decades with the goal to support teachers by reducing grading workload and mitigating subjective biases. While early systems rel…

stat.ME2025★ 2 cited

Seeded Poisson Factorization: leveraging domain knowledge to fit topic models

Bernd Prostmaier, Jan Vávra, Bettina Grün +1

Topic models are widely used for discovering latent thematic structures in large text corpora, yet traditional unsupervised methods often struggle to align with pre-defined concept…

cs.CV2024★ 5 cited

Brick Kiln Dataset for Pakistan's IGP Region Using AI

Muhammad Suleman Ali Hamdani, Khizer Zakir, Neetu Kushwaha +2

Brick kilns are a major source of air pollution in Pakistan, with many operating without regulation. A key challenge in Pakistan and across the Indo-Gangetic Plain is the limited a…

math.AP2024

A universal example for quantitative semi-uniform stability

Sahiba Arora, Felix Schwenninger, Ingrid Vukusic +1

We characterise quantitative semi-uniform stability for -semigroups arising from port-Hamiltonian systems, complementing recent works on exponential and strong stability. With…

eess.IV2023★ 5 cited

Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction

Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger +1

Semantic segmentation is a crucial task in medical image processing, essential for segmenting organs or lesions such as tumors. In this study we aim to improve automated segmentati…

cond-mat.supr-con2023★ 4 cited

Gate-tunable topological superconductivity in a supramolecular electron spin lattice

Rémy Pawlak, Jung-Ching Liu, Chao Li +13

Topological superconductivity emerges in chains or arrays of magnetic atoms coupled to a superconductor. However, the external controllability of such systems with gate voltages is…

cs.LG2023★ 24 cited

Topological Data Analysis in smart manufacturing: State of the art and futuredirections

Martin Uray, Barbara Giunti, Michael Kerber +1

Topological Data Analysis (TDA) is a discipline that applies algebraic topology techniques to analyze complex, multi-dimensional data. Although it is a relatively new field, TDA ha…

cs.AI2023★ 8 cited

An Architecture for Deploying Reinforcement Learning in Industrial Environments

Georg Schäfer, Reuf Kozlica, Stefan Wegenkittl +1

Industry 4.0 is driven by demands like shorter time-to-market, mass customization of products, and batch size one production. Reinforcement Learning (RL), a machine learning paradi…

cs.SE2023★ 6 cited

Digital Twins of Business Processes as Enablers for IT / OT Integration

Hannes Waclawek, Georg Schäfer, Christoph Binder +2

The vision of Industry 4.0 introduces new requirements to Operational Technology (OT) systems. Solutions for these requirements already exist in the Information Technology (IT) wor…

cs.AI2023★ 1 cited

A Mini Review on the utilization of Reinforcement Learning with OPC UA

Simon Schindler, Martin Uray, Stefan Huber

Reinforcement Learning (RL) is a powerful machine learning paradigm that has been applied in various fields such as robotics, natural language processing and game playing achieving…

cs.LG2023★ 3 cited

-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers

Stefan Huber, Hannes Waclawek

In this work we present an "out-of-the-box" application of Machine Learning (ML) optimizers for an industrial optimization problem. We introduce a piecewise polynomial model (splin…

econ.GN2023

A Commons-Compatible Implementation of the Sharing Economy: Blockchain-Based Open Source Mediation

Petra Tschuchnig, Manfred Mayr, Maximilian Tschuchnig +1

The network economical sharing economy, with direct exchange as a core characteristic, is implemented both, on a commons and platform economical basis. This is due to a gain in imp…

cs.NE2023★ 3 cited

CSRX: A novel Crossover Operator for a Genetic Algorithm applied to the Traveling Salesperson Problem

Martin Uray, Stefan Wintersteller, Stefan Huber

In this paper, we revisit the application of Genetic Algorithm (GA) to the Traveling Salesperson Problem (TSP) and introduce a family of novel crossover operators that outperform t…

cs.CV2022★ 26 cited

Experimental analysis regarding the influence of iris segmentation on the recognition rate

Heinz Hofbauer, Fernando Alonso-Fernandez, Josef Bigun +1

In this study the authors will look at the detection and segmentation of the iris and its influence on the overall performance of the iris-biometric tool chain. The authors will ex…

cs.CV2022★ 32 cited

Iris super-resolution using CNNs: is photo-realism important to iris recognition?

Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez

The use of low-resolution images adopting more relaxed acquisition conditions such as mobile phones and surveillance videos is becoming increasingly common in iris recognition nowa…

eess.IV2022★ 6 cited

Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification

Maximilian E. Tschuchnig, Philipp Grubmüller, Lea M. Stangassinger +5

Thyroid cancer is currently the fifth most common malignancy diagnosed in women. Since differentiation of cancer sub-types is important for treatment and current, manual methods ar…

cs.NE2021★ 4 cited

Improvements for mlrose applied to the Traveling Salesperson Problem

Stefan Wintersteller, Martin Uray, Michael Lehenauer +1

In this paper we discuss the application of Artificial Intelligence (AI) to the exemplary industrial use case of the two-dimensional commissioning problem in a high-bay storage, wh…

cs.DC2021★ 1 cited

Randomized Local Fast Rerouting for Datacenter Networks with Almost Optimal Congestion

Gregor Bankhamer, Robert Elsässer, Stefan Schmid

To ensure high availability, datacenter networks must rely on local fast rerouting mechanisms that allow routers to quickly react to link failures, in a fully decentralized manner.…

eess.IV2021★ 101 cited

Anomaly Detection in Medical Imaging -- A Mini Review

Maximilian E. Tschuchnig, Michael Gadermayr

The increasing digitization of medical imaging enables machine learning based improvements in detecting, visualizing and segmenting lesions, easing the workload for medical experts…

hep-ex2021

Charge-state distributions of highly charged lead ions at relativistic collision energies

F. M. Kröger, G. Weber, S. Hirlaender +5

Presented is a study of the charge-state evolution of relativistic lead ions passing through a thin aluminum stripper foil. It was motivated by the Gamma Factory project at CERN, w…

cs.CR2021

AggFT: Low-Cost Fault-Tolerant Smart Meter Aggregation with Proven Termination and Privacy

Günther Eibl, Sanaz Taheri-Boshrooyeh, Alptekin Küpçü

Smart meter data aggregation protocols have been developed to address rising privacy threats against customers' consumption data. However, these protocols do not work satisfactoril…

cs.DB2021★ 2 cited

Immutable and Democratic Data in permissionless Peer-to-Peer Systems

Maximilian Ernst Tschuchnig, Dejan Radovanovic, Eduard Hirsch +2

Conventional data storage methods like SQL and NoSQL offer a huge amount of possibilities with one major disadvantage, having to use a centralized authority. This authority may be…