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Kinga Bernatowicz

Showing results (11-20 of 17) with videos related to

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European Radiology|September 10, 2020
Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysisMarta Ligero, Olivia Jordi-Ollero, Kinga Bernatowicz, et al.
Radiology. Artificial Intelligence|April 24, 2024
Erratum for: Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in CancerOlivia Prior, Carlos Macarro, Víctor Navarro, et al.
Radiology. Artificial Intelligence|January 31, 2024
Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in CancerOlivia Prior, Carlos Macarro, Víctor Navarro, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 19, 2024
Enhancing Tumor Microstructural Quantification With Machine Learning and Diffusion-Relaxation MRICarlos Macarro, Kinga Bernatowicz, Alonso Garcia-Ruiz, et al.
Communications Biology|November 26, 2025
Histology-informed microstructural diffusion simulations for MRI cancer characterisation-the Histo-μSim frameworkAthanasios Grigoriou, Carlos Macarro, Marco Palombo, et al.
Communications Medicine|November 20, 2025
Clinically feasible liver tumour cell size measurement through histology-informed in vivo diffusion MRIFrancesco Grussu, Athanasios Grigoriou, Kinga Bernatowicz, et al.
Nature Medicine|September 13, 2022
RNF43 mutations predict response to anti-BRAF/EGFR combinatory therapies in BRAF<sup>V600E</sup> metastatic colorectal cancerElena Elez, Javier Ros, Jose Fernández, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
European Radiology|September 10, 2020
Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysisMarta Ligero, Olivia Jordi-Ollero, Kinga Bernatowicz, et al.
Radiology. Artificial Intelligence|April 24, 2024
Erratum for: Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in CancerOlivia Prior, Carlos Macarro, Víctor Navarro, et al.
Radiology. Artificial Intelligence|January 31, 2024
Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in CancerOlivia Prior, Carlos Macarro, Víctor Navarro, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 19, 2024
Enhancing Tumor Microstructural Quantification With Machine Learning and Diffusion-Relaxation MRICarlos Macarro, Kinga Bernatowicz, Alonso Garcia-Ruiz, et al.
Communications Biology|November 26, 2025
Histology-informed microstructural diffusion simulations for MRI cancer characterisation-the Histo-μSim frameworkAthanasios Grigoriou, Carlos Macarro, Marco Palombo, et al.
Communications Medicine|November 20, 2025
Clinically feasible liver tumour cell size measurement through histology-informed in vivo diffusion MRIFrancesco Grussu, Athanasios Grigoriou, Kinga Bernatowicz, et al.
Nature Medicine|September 13, 2022
RNF43 mutations predict response to anti-BRAF/EGFR combinatory therapies in BRAF<sup>V600E</sup> metastatic colorectal cancerElena Elez, Javier Ros, Jose Fernández, et al.
Pageof 2