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Leonardo Rundo

Showing results (51-60 of 66) with videos related to

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Diagnostics (Basel, Switzerland)|September 28, 2021
A Low-Dose CT-Based Radiomic Model to Improve Characterization and Screening Recall Intervals of Indeterminate Prevalent Pulmonary NodulesLeonardo Rundo, Roberta Eufrasia Ledda, Christian di Noia, et al.
Heliyon|May 22, 2023
Epicardial and thoracic subcutaneous fat texture analysis in patients undergoing cardiac CTManfredi Agnese, Patrizia Toia, Giulia Sollami, et al.
Brain Sciences|May 27, 2026
Advancing Brain Tumor Diagnosis Using Deep Learning: A Systematic and Critical Review on Methodological Approaches to Glioma Segmentation and Classification Through Multiparametric MRISimona Aresta, Cinzia Palmirotta, Muhammad Asim, et al.
Applied Sciences (Basel, Switzerland)|July 26, 2021
ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence MicroscopyLeonardo Rundo, Andrea Tangherloni, Darren R Tyson, et al.
Cancers|December 1, 2020
Correlating Radiomic Features of Heterogeneity on CT with Circulating Tumor DNA in Metastatic MelanomaAndrew B Gill, Leonardo Rundo, Jonathan C M Wan, et al.
Diagnostics (Basel, Switzerland)|September 9, 2023
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use CaseLorena Escudero Sanchez, Thomas Buddenkotte, Mohammad Al Sa'd, et al.
Frontiers in Oncology|March 2, 2023
Lesion-specific 3D-printed moulds for image-guided tissue multi-sampling of ovarian tumours: A prospective pilot studyMaria Delgado-Ortet, Marika A V Reinius, Cathal McCague, et al.
European Radiology|December 14, 2020
Ultrasound-guided targeted biopsies of CT-based radiomic tumour habitats: technical development and initial experience in metastatic ovarian cancerLucian Beer, Paula Martin-Gonzalez, Maria Delgado-Ortet, et al.
Frontiers in Oncology|July 5, 2022
Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian CarcinomaLeonardo Rundo, Lucian Beer, Lorena Escudero Sanchez, et al.
European Journal of Radiology Open|September 16, 2024
Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approachElizabeth P V Le, Mark Y Z Wong, Leonardo Rundo, et al.
Pageof 7

Showing results (51-60 of 66) with videos related to

Sort By:
Pageof 7
Diagnostics (Basel, Switzerland)|September 28, 2021
A Low-Dose CT-Based Radiomic Model to Improve Characterization and Screening Recall Intervals of Indeterminate Prevalent Pulmonary NodulesLeonardo Rundo, Roberta Eufrasia Ledda, Christian di Noia, et al.
Heliyon|May 22, 2023
Epicardial and thoracic subcutaneous fat texture analysis in patients undergoing cardiac CTManfredi Agnese, Patrizia Toia, Giulia Sollami, et al.
Brain Sciences|May 27, 2026
Advancing Brain Tumor Diagnosis Using Deep Learning: A Systematic and Critical Review on Methodological Approaches to Glioma Segmentation and Classification Through Multiparametric MRISimona Aresta, Cinzia Palmirotta, Muhammad Asim, et al.
Applied Sciences (Basel, Switzerland)|July 26, 2021
ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence MicroscopyLeonardo Rundo, Andrea Tangherloni, Darren R Tyson, et al.
Cancers|December 1, 2020
Correlating Radiomic Features of Heterogeneity on CT with Circulating Tumor DNA in Metastatic MelanomaAndrew B Gill, Leonardo Rundo, Jonathan C M Wan, et al.
Diagnostics (Basel, Switzerland)|September 9, 2023
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use CaseLorena Escudero Sanchez, Thomas Buddenkotte, Mohammad Al Sa'd, et al.
Frontiers in Oncology|March 2, 2023
Lesion-specific 3D-printed moulds for image-guided tissue multi-sampling of ovarian tumours: A prospective pilot studyMaria Delgado-Ortet, Marika A V Reinius, Cathal McCague, et al.
European Radiology|December 14, 2020
Ultrasound-guided targeted biopsies of CT-based radiomic tumour habitats: technical development and initial experience in metastatic ovarian cancerLucian Beer, Paula Martin-Gonzalez, Maria Delgado-Ortet, et al.
Frontiers in Oncology|July 5, 2022
Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian CarcinomaLeonardo Rundo, Lucian Beer, Lorena Escudero Sanchez, et al.
European Journal of Radiology Open|September 16, 2024
Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approachElizabeth P V Le, Mark Y Z Wong, Leonardo Rundo, et al.
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