Author

Marek Socha

Observed name: Socha, Marek

Institution: Silesian University of Technology

Observed institution: Silesian University of Technology

ORCID: 0000-0002-7570-4876

Observed ORCID: 0000-0002-7570-4876

OpenAlex ID: A5071369322

Electrochemical, Photochemical, and Photoelectrochemical Treatment of Sodium p-Cumenesulfonate

2013 · Lidia Osiewała, Adam Socha, et al. · Water Air & Soil Pollution · 10

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Searching for the Ideal Recipe for Preparing Synthetic Data in the Multi-Object Detection Problem

2025 · Michał Staniszewski, Aleksander Kempski, et al. · Applied Sciences · 6

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Pathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis

2023 · Marek Socha, Wojciech Prażuch, et al. · Computer Methods and Programs in Biomedicine · 6

POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020–2021)

2023 · Aleksandra Suwalska, Joanna Tobiasz, et al. · Scientific Data · 5

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Passenger Location Estimation in Public Transport: Evaluating Methods and Camera Placement Impact

2024 · Michał Marczyk, Aleksander Kempski, et al. · IEEE Transactions on Intelligent Transportation Systems · 4

Photoelectrochemical Treatment of α,β-Unsaturated Ketones on TiO2-RuO2/Ti Electrode

2015 · Aleksandra Perek-Dlugosz, Adam Socha, et al. · Electrocatalysis · 4

CIRCA: comprehensible online system in support of chest X-rays-based screening by COVID-19 example

2025 · Wojciech Prazuch, Aleksandra Suwalska, et al. · Scientific Reports · 1

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CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis

2022 · Prazuch, Wojciech, Suwalska, Aleksandra, et al. · arXiv (Cornell University) · 1

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4.91P The CoMPaSS-NMD neuromuscular genome atlas: a new AI-based platform for advanced deep phenotyping and stratification in hereditary neuromuscular disorders

2026 · Andi Nuredini, Riccardo Corrias, et al. · Neuromuscular Disorders

MRI-based Deep Radiomic Phenotyping of Neuromuscular Disorders: A Topology-driven Characterization

2026 · Żur, Martyna, Piórecki, Łukasz, et al. · arXiv (Cornell University)

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Can Unsupervised Methods Outperform Supervised Deep Learning When Ground Truth Is Sparse? A Case Study of Bronchovascular Bundle Segmentation in Low-Dose CT

2026 · Mrukwa, Anna, Socha, Marek, et al. · arXiv (Cornell University)

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Manifold Integration of Lung Emphysema Signatures (MILES): A Radiomic-Based Study

2026 · Marek Socha, Agata Durawa, et al. · Machine Learning and Knowledge Extraction

SARA: Automated Anatomical Reference Assignment of Lower Limb on MRI scans via ANN-based Bone Segmentation

2025 · Lukasz Piorecki, Marek Socha, et al. · Bio-Algorithms and Med-Systems

Combining low-dose CT-based radiomics and metabolomics for early lung cancer screening support

2023 · Zyla, Joanna, Marczyk, Michal, et al. · arXiv (Cornell University)

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BRONCO: Automated modelling of the bronchovascular bundle using the Computed Tomography Images

2023 · Prażuch, Wojciech, Socha, Marek, et al. · arXiv (Cornell University)

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Works count: 22

Citation count: 37

H-index: 4

I10-index: 1