Leonardo Rundo

Fisciano, 84084, Italy

Last Updated: 09/26/2026

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Found 66 publications

Advancing Brain Tumor Diagnosis Using Deep Learning: A Systematic and Critical Review on Methodological Approaches to Glioma Segmentation and Classification Through Multiparametric MRI.

Advancing Brain Tumor Diagnosis Using Deep Learning: A Systematic and Critical Review on Methodological Approaches to Glioma Segmentation and Classification Through Multiparametric MRI.

Journal: Brain sciences

Published: March 16, 2026

Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals.

Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals.

Journal: Sensors (Basel, Switzerland)

Published: March 18, 2025

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

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

Journal: Frontiers in oncology

Published: December 16, 2024

Assessment of early response to neoadjuvant chemotherapy in multi-site high-grade serous ovarian cancer using hyperpolarized-13C MRI.

Assessment of early response to neoadjuvant chemotherapy in multi-site high-grade serous ovarian cancer using hyperpolarized-13C MRI.

Journal: EJNMMI research

Published: September 12, 2024

Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approach.

Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approach.

Journal: European journal of radiology open

Published: April 24, 2024

IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRI.

IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRI.

Journal: Diagnostics (Basel, Switzerland)

Published: April 18, 2024

Image biomarkers and explainable AI: handcrafted features versus deep learned features.

Image biomarkers and explainable AI: handcrafted features versus deep learned features.

Journal: European radiology experimental

Published: April 06, 2024

Reply to a Letter to the Editor on Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review.

Reply to a Letter to the Editor on Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review.

Journal: Insights into imaging

Published: December 14, 2023

Multiparametric MRI dataset for susceptibility-based radiomic feature extraction and analysis.

Multiparametric MRI dataset for susceptibility-based radiomic feature extraction and analysis.

Journal: Scientific data

Published: December 12, 2023

Robustness and classification capabilities of MRI radiomic features in identifying carotid plaque vulnerability.

Robustness and classification capabilities of MRI radiomic features in identifying carotid plaque vulnerability.

Journal: The British journal of radiology

Published: July 31, 2023

Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective multicenter study.

Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective multicenter study.

Journal: La Radiologia medica

Published: July 27, 2023

Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis.

Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis.

Journal: Scientific reports

Published: June 30, 2023

Showing 1-12 of 66

Last Updated: 09/26/2026