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Dominika Ciupek

Showing results (1-10 of 8) with videos related to

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Computer Methods and Programs in Biomedicine|May 26, 2026
Federated learning: A new frontier in the exploration of multi-institutional medical imaging dataDominika Ciupek, Maciej Malawski, Tomasz Pieciak
Biorxiv : the Preprint Server for Biology|February 24, 2025
Validation of ten federated learning strategies for multi-contrast image-to-image MRI data synthesis from heterogeneous sourcesJan Fiszer, Dominika Ciupek, Maciej Malawski, et al.
Scientific Reports|April 22, 2025
Data reconstruction from machine learning models via inverse estimation and Bayesian inferenceAgus Hartoyo, Dominika Ciupek, Maciej Malawski, et al.
Health Policy (Amsterdam, Netherlands)|November 7, 2025
Corrigendum to "Shall we call for a doctor? How to build trust toward AI in healthcare: Insights from a Polish cross-sectional preference study" [Health policy 159 (2025) 105379]Katarzyna Kolasa, Katarzyna Baliga-Nicholson, Jaroslaw Wasniewski, et al.
Health Policy (Amsterdam, Netherlands)|June 24, 2025
Shall we call for a doctor? How to build trust toward AI in healthcare: Insights from a Polish cross-sectional preference studyKatarzyna Kolasa, Katarzyna Baliga-Nicholson, Jaroslaw Wasniewski, et al.
Computational Diffusion MRI. CDMRI (Workshop)|December 26, 2025
Introducing QuantConn: Overcoming challenging diffusion acquisitions with harmonizationNancy R Newlin, Kurt Schilling, Serge Koudoro, et al.
Arxiv|November 28, 2024
MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRINancy R Newlin, Kurt Schilling, Serge Koudoro, et al.
Neuroimage|June 17, 2023
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challengeGabriel Girard, Jonathan Rafael-Patiño, Raphaël Truffet, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Computer Methods and Programs in Biomedicine|May 26, 2026
Federated learning: A new frontier in the exploration of multi-institutional medical imaging dataDominika Ciupek, Maciej Malawski, Tomasz Pieciak
Biorxiv : the Preprint Server for Biology|February 24, 2025
Validation of ten federated learning strategies for multi-contrast image-to-image MRI data synthesis from heterogeneous sourcesJan Fiszer, Dominika Ciupek, Maciej Malawski, et al.
Scientific Reports|April 22, 2025
Data reconstruction from machine learning models via inverse estimation and Bayesian inferenceAgus Hartoyo, Dominika Ciupek, Maciej Malawski, et al.
Health Policy (Amsterdam, Netherlands)|November 7, 2025
Corrigendum to "Shall we call for a doctor? How to build trust toward AI in healthcare: Insights from a Polish cross-sectional preference study" [Health policy 159 (2025) 105379]Katarzyna Kolasa, Katarzyna Baliga-Nicholson, Jaroslaw Wasniewski, et al.
Health Policy (Amsterdam, Netherlands)|June 24, 2025
Shall we call for a doctor? How to build trust toward AI in healthcare: Insights from a Polish cross-sectional preference studyKatarzyna Kolasa, Katarzyna Baliga-Nicholson, Jaroslaw Wasniewski, et al.
Computational Diffusion MRI. CDMRI (Workshop)|December 26, 2025
Introducing QuantConn: Overcoming challenging diffusion acquisitions with harmonizationNancy R Newlin, Kurt Schilling, Serge Koudoro, et al.
Arxiv|November 28, 2024
MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRINancy R Newlin, Kurt Schilling, Serge Koudoro, et al.
Neuroimage|June 17, 2023
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challengeGabriel Girard, Jonathan Rafael-Patiño, Raphaël Truffet, et al.
Pageof 1