Maria J. Carbayo-Ledesma

Improving Pre-trained Adult Glioma Segmentation Models using only Post-processing Techniques.

Journal: Segmentation, classification, and synthesis for brain tumors and traumatic brain injuries : MICCAI 2025 Challenges: BraTS-Lighthouse 2025 and AIMS-TBI 2025, held in conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025,...

Published: May 18, 2026

Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-guided Subtyping and Lesion-Wise Model Ensemble.

Journal: Segmentation, classification, and synthesis for brain tumors and traumatic brain injuries : MICCAI 2025 Challenges: BraTS-Lighthouse 2025 and AIMS-TBI 2025, held in conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025,...

Published: May 08, 2026

Correction: Monitoring peripheral blood data supports the prediction of immunotherapy response in advanced non‑small cell lung cancer based on real‑world data.

Journal: Cancer immunology, immunotherapy : CII

Published: May 27, 2025

AI-Based Chest Radiography Tools and the Lateral Projection: Challenges and Opportunities.

Journal: Archivos de bronconeumologia

Published: May 05, 2025

Artificial intelligence algorithm for real-time detection and counting of Trypanosoma cruzi parasites using smartphone microscopy.

Journal: PLoS neglected tropical diseases

Published: March 20, 2025

Improving Pre-trained Adult Glioma Segmentation Models using only Post-processing Techniques.

Improving Pre-trained Adult Glioma Segmentation Models using only Post-processing Techniques.

Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-guided Subtyping and Lesion-Wise Model Ensemble.

Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-guided Subtyping and Lesion-Wise Model Ensemble.

AI for the assessment and discovery of morphological-molecular biomarker relationships in hematologic malignancies.

AI for the assessment and discovery of morphological-molecular biomarker relationships in hematologic malignancies.

Tumor-infiltrating lymphocytes differ across MammaPrint® classifications in breast cancer.

Tumor-infiltrating lymphocytes differ across MammaPrint® classifications in breast cancer.

Diagnostic performance of chest radiography for pediatric tuberculosis across high- and low-burden settings.

Diagnostic performance of chest radiography for pediatric tuberculosis across high- and low-burden settings.

Influence of CT harmonization in longitudinal radiomics for NSCLC immunotherapy response prediction.

Influence of CT harmonization in longitudinal radiomics for NSCLC immunotherapy response prediction.

Correction: Monitoring peripheral blood data supports the prediction of immunotherapy response in advanced non‑small cell lung cancer based on real‑world data.

Correction: Monitoring peripheral blood data supports the prediction of immunotherapy response in advanced non‑small cell lung cancer based on real‑world data.

AI-Based Chest Radiography Tools and the Lateral Projection: Challenges and Opportunities.

AI-Based Chest Radiography Tools and the Lateral Projection: Challenges and Opportunities.

Artificial intelligence algorithm for real-time detection and counting of Trypanosoma cruzi parasites using smartphone microscopy.

Artificial intelligence algorithm for real-time detection and counting of Trypanosoma cruzi parasites using smartphone microscopy.

Multi-view deep learning framework for the detection of chest X-rays compatible with pediatric pulmonary tuberculosis.

Multi-view deep learning framework for the detection of chest X-rays compatible with pediatric pulmonary tuberculosis.

Spatio-temporal deep learning with temporal attention for indeterminate lung nodule classification.

Spatio-temporal deep learning with temporal attention for indeterminate lung nodule classification.

Patient-specific visco-hyperelastic mechanical model for breast tumor localization in surgical planning.

Patient-specific visco-hyperelastic mechanical model for breast tumor localization in surgical planning.