output
20202025
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

11 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…