Lorena Escudero Sánchez

Most-cited papers

1. Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer

   M. Crispin-Ortuzar, R. Woitek, M. Reinius, Elizabeth K Moore +22 more

   2023Nature Communications58 citations Open access

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2. Robustness of radiomic features in CT images with different slice thickness, comparing liver tumour and muscle

   Lorena Escudero Sánchez, L. Rundo, A. Gill, M. Hoare +2 more

   2021Scientific Reports58 citations Open access

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3. Deep learning-based breast cancer diagnosis in breast MRI: systematic review and meta-analysis

   K. A. Abdullah, S. Marziali, M. Nanaa, Lorena Escudero Sánchez +2 more

   2025European Radiology43 citations Open access

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4. Deep learning-based segmentation of multisite disease in ovarian cancer

   T. Buddenkotte, L. Rundo, R. Woitek, Lorena Escudero Sánchez +23 more

   2023European Radiology Experimental30 citations Open access

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5. Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian Carcinoma

   L. Rundo, L. Beer, Lorena Escudero Sánchez, M. Crispin-Ortuzar +19 more

   2022Frontiers in Oncology30 citations Open access

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6. Image normalization techniques and their effect on the robustness and predictive power of breast MRI radiomics.

   Florian Schwarzhans, Geevarghese George, Lorena Escudero Sánchez, O. Zaric +3 more

   2025European Journal of Radiology24 citations Open access

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7. Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging

   O. Saldanha, Jie-Fu Zhu, Gustav Müller-Franzes, Z. Carrero +28 more

   2025Communications Medicine14 citations Open access

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8. Interpretable and reproducible machine learning model for coronary calcification and segment-level stenoses stratification on computed tomography angiography

   Jian Chen, Hong-Qiu Wang, Yi-Ran Wei, Yu Xu +14 more

   2025BMC Medicine8 citations Open access

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9. Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case

   Lorena Escudero Sánchez, T. Buddenkotte, M. Al Sa'd, C. McCague +12 more

   2023Diagnostics8 citations Open access

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10. Mitigating the impact of image processing variations on tumour [18F]-FDG-PET radiomic feature robustness

    S. Ramlee, R. Manavaki, Luigi Aloj, Lorena Escudero Sánchez

    2024Scientific Reports7 citations Open access

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11. Lesion-specific 3D-printed moulds for image-guided tissue multi-sampling of ovarian tumours: A prospective pilot study

    Maria Delgado-Ortet, M. Reinius, C. McCague, V. Bura +13 more

    2023Frontiers in Oncology6 citations Open access

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12. Feasibility and sensitivity study of radiomic features in photoacoustic imaging of patient-derived xenografts

    Lorena Escudero Sánchez, Emma L. Brown, L. Rundo, S. Ursprung +3 more

    2022Scientific Reports5 citations Open access

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13. On the robustness of [18F]-FDG-PET radiomic features to variations in image acquisition and reconstruction settings: A phantom study

    S. Ramlee, Maria Delgado-Ortet, Lorena Escudero Sánchez, Luigi Aloj +1 more

    2025PLoS ONE2 citations Open access

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14. Imaging-based assessment of response to olaparib in platinum-sensitive relapsed ovarian cancer patients

    Maria Delgado-Ortet, V. Bura, I. Funingana, D. Hulse +4 more

    2025Frontiers in Oncology2 citations Open access

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