output
20052025
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

15 papers

cs.CV2025★ 1 cited

Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI

Georgia Kanli, Daniele Perlo, Selma Boudissa +2

MR data are acquired in the frequency domain, known as k-space. Acquiring high-quality and high-resolution MR images can be time-consuming, posing a significant challenge when mult…

eess.AS2025

CardioPHON: Quality assessment and self-supervised pretraining for screening of cardiac function based on phonocardiogram recordings

Vladimir Despotovic, Peter Pocta, Andrej Zgank

Remote monitoring of cardiovascular diseases plays an essential role in early detection of abnormal cardiac function, enabling timely intervention, improved preventive care, and pe…

cs.RO2025

SMapper: A Multi-Modal Data Acquisition Platform for SLAM Benchmarking

Pedro Miguel Bastos Soares, Ali Tourani, Miguel Fernandez-Cortizas +3

Advancing research in fields such as Simultaneous Localization and Mapping (SLAM) and autonomous navigation critically depends on the availability of reliable and reproducible mult…

cs.SE2024★ 2 cited

A Metascience Study of the Low-Code Scientific Field

Mauro Dalle Lucca Tosi, Javier Luis Cánovas Izquierdo, Jordi Cabot

In the last years, model-related publications have been exploring the application of modeling techniques across various domains. Initially focused on UML and the Model-Driven Archi…

eess.IV2024

Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification

Daniele Perlo, Luca Berton, Alessia Delpiano +4

The liver is the most involved organ by distant metastasis in colon-rectal cancer (CRC) patients and it comes necessary to be aware of the mutational status of the lesions to corre…

eess.IV2023★ 12 cited

Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study

Vladimir Despotovic, Sang-Yoon Kim, Ann-Christin Hau +6

We provide in this paper a comprehensive comparison of various transfer learning strategies and deep learning architectures for computer-aided classification of adult-type diffuse…

q-bio.PE2023★ 9 cited

A standardised protocol for assessment of relative SARS-CoV-2 variant severity, with application to severity risk for COVID-19 cases infected with Omicron BA.1 compared to Delta variants in six European countries

Tommy Nyberg, Peter Bager, Ingrid Bech Svalgaard +17

Several SARS-CoV-2 variants that evolved during the COVID-19 pandemic have appeared to differ in severity, based on analyses of single-country datasets. With decreased SARS-CoV-2 t…

math.OC2022★ 9 cited

Stabilization of stochastic dynamical systems of a random structure with Markov switches and Poisson perturbations

Taras Lukashiv, Yuliia Litvinchuk, Igor Malyk +2

An optimal control for a dynamical system optimizes a certain objective function. Here we consider the construction of an optimal control for a stochastic dynamical system with a r…

cs.LG2022★ 390 cited

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards +276

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…

eess.IV2021★ 16 cited

The Federated Tumor Segmentation (FeTS) Challenge

Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29

This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…

math.NA2020★ 36 cited

Taylor-series expansion based numerical methods: a primer, performance benchmarking and new approaches for problems with non-smooth solutions

Thibault Jacquemin, Satyendra Tomar, Konstantinos Agathos +2

We provide a primer to numerical methods based on Taylor series expansions such as generalized finite difference methods and collocation methods. We provide a detailed benchmarking…

math.CO2006

Direct and dual laws for automata with multiplicities

Gérard Duchamp, Marianne Flouret, Eric Laugerotte +1

We present here theoretical results coming from the implementation of the package called AMULT (automata with multiplicities in several noncommutative variables). We show that clas…

cs.MA2005★ 1 cited

Automata-based adaptive behavior for economic modeling using game theory

Rawan Ghnemat, Khalaf Khatatneh, Saleh Oqeili +2

In this paper, we deal with some specific domains of applications to game theory. This is one of the major class of models in the new approaches of modelling in the economic domain…

math.CO2005

Transitive Hall sets

Gérard Henry Edmond Duchamp, Jean-Gabriel Luque, Marianne Deboysson-Flouret

We give the definition of Lazard and Hall sets in the context of transitive factorizations of free monoids. The equivalence of the two properties is proved. This allows to build ne…

cs.MA2005★ 1 cited

Tables, Memorized Semirings and Applications

Cyrille Bertelle, Gérard Henry Edmond Duchamp, Khalaf Khatatneh

We define and construct a new data structure, the tables, this structure generalizes the (finite) -sets sets of Eilenberg \cite{Ei}, it is versatile (one can vary the letters, t…