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Lorena Escudero Sanchez

Showing results (1-10 of 16) with videos related to

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Scientific Reports|July 15, 2024
Mitigating the impact of image processing variations on tumour [<sup>18</sup>F]-FDG-PET radiomic feature robustnessSyafiq Ramlee, Roido Manavaki, Luigi Aloj, et al.
Scientific Reports|June 1, 2026
Submanifold sparse convolutional networks for automated 3D segmentation of kidneys and kidney tumours in computed tomographySaúl Alonso-Monsalve, Leigh H Whitehead, Adam Aurisano, et al.
Plos One|October 22, 2025
On the robustness of [18F]-FDG-PET radiomic features to variations in image acquisition and reconstruction settings: A phantom studySyafiq Ramlee, Maria Delgado-Ortet, Lorena Escudero Sanchez, et al.
Scientific Reports|April 16, 2021
Robustness of radiomic features in CT images with different slice thickness, comparing liver tumour and muscleLorena Escudero Sanchez, Leonardo Rundo, Andrew B Gill, et al.
European Journal of Radiology|April 4, 2025
Image normalization techniques and their effect on the robustness and predictive power of breast MRI radiomicsFlorian Schwarzhans, Geevarghese George, Lorena Escudero Sanchez, et al.
Scientific Reports|September 7, 2022
Photoacoustic imaging radiomics in patient-derived xenografts: a study on feature sensitivity and model discriminationLorena Escudero Sanchez, Emma Brown, Leonardo Rundo, et al.
Frontiers in Oncology|June 20, 2025
Imaging-based assessment of response to olaparib in platinum-sensitive relapsed ovarian cancer patientsMaria Delgado-Ortet, Vlad Bura, Ionut-Gabriel Funingana, et al.
Scientific Reports|June 3, 2021
Reproducibility of CT-based radiomic features against image resampling and perturbations for tumour and healthy kidney in renal cancer patientsMargherita Mottola, Stephan Ursprung, Leonardo Rundo, et al.
Computers in Biology and Medicine|June 11, 2023
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentationThomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, et al.
Diagnostics (Basel, Switzerland)|September 9, 2023
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use CaseLorena Escudero Sanchez, Thomas Buddenkotte, Mohammad Al Sa'd, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Scientific Reports|July 15, 2024
Mitigating the impact of image processing variations on tumour [<sup>18</sup>F]-FDG-PET radiomic feature robustnessSyafiq Ramlee, Roido Manavaki, Luigi Aloj, et al.
Scientific Reports|June 1, 2026
Submanifold sparse convolutional networks for automated 3D segmentation of kidneys and kidney tumours in computed tomographySaúl Alonso-Monsalve, Leigh H Whitehead, Adam Aurisano, et al.
Plos One|October 22, 2025
On the robustness of [18F]-FDG-PET radiomic features to variations in image acquisition and reconstruction settings: A phantom studySyafiq Ramlee, Maria Delgado-Ortet, Lorena Escudero Sanchez, et al.
Scientific Reports|April 16, 2021
Robustness of radiomic features in CT images with different slice thickness, comparing liver tumour and muscleLorena Escudero Sanchez, Leonardo Rundo, Andrew B Gill, et al.
European Journal of Radiology|April 4, 2025
Image normalization techniques and their effect on the robustness and predictive power of breast MRI radiomicsFlorian Schwarzhans, Geevarghese George, Lorena Escudero Sanchez, et al.
Scientific Reports|September 7, 2022
Photoacoustic imaging radiomics in patient-derived xenografts: a study on feature sensitivity and model discriminationLorena Escudero Sanchez, Emma Brown, Leonardo Rundo, et al.
Frontiers in Oncology|June 20, 2025
Imaging-based assessment of response to olaparib in platinum-sensitive relapsed ovarian cancer patientsMaria Delgado-Ortet, Vlad Bura, Ionut-Gabriel Funingana, et al.
Scientific Reports|June 3, 2021
Reproducibility of CT-based radiomic features against image resampling and perturbations for tumour and healthy kidney in renal cancer patientsMargherita Mottola, Stephan Ursprung, Leonardo Rundo, et al.
Computers in Biology and Medicine|June 11, 2023
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentationThomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, et al.
Diagnostics (Basel, Switzerland)|September 9, 2023
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use CaseLorena Escudero Sanchez, Thomas Buddenkotte, Mohammad Al Sa'd, et al.
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