Marta Ligero
0000-0001-9824-7316
8 papers found
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Weakly supervised deep learning predicts immunotherapy response in solid tumors based on PD-L1 expression
PET‐based radiomics signature can predict durable responses to CAR T‐cell therapy in patients with large B‐cell lymphoma
Facts and Hopes on the Use of Artificial Intelligence for Predictive Immunotherapy Biomarkers in Cancer
Robust imaging habitat computation using voxel-wise radiomics features
A CT-based Radiomics Signature Is Associated with Response to Immune Checkpoint Inhibitors in Advanced Solid Tumors
Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma
Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis
Selection of Radiomics Features based on their Reproducibility
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