Author

Covadonga del Camino

2 papers indexed here

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#artificial intelligence Preprint Aug 2026

Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Temporal Deep Learning on DWI

It is demonstrated that DW-MRI-based deep learning on tumor-centered patches constitutes a minimally invasive, clinically deployable strategy for early pCR prediction, with direct implications for personalized treatment adaptation in neoadjuvant breast cancer therapy.

Pablo García Marcos, M. Islam, Paula Puerta González et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Neoadjuvant chemotherapy response prediction using pretreatment diffusion and contrast-enhanced magnetic resonance imaging with clinical variables

Prediction of pathological complete response before neoadjuvant chemotherapy may facilitate more tailored therapeutic planning for breast cancer patients. This work proposes a deep-learning model for pretreatment data only, combining apparent diffusion coefficient maps, dynamic contrast-enhanced magnetic resonance imag...

Pablo García Marcos, Paula Puerta González, Guillermo Lorenzo et al. · 0 citations