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Leonardo Rundo

Showing results (21-30 of 66) with videos related to

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Scientific Reports|November 2, 2021
Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic featuresErick Costa de Farias, Christian di Noia, Changhee Han, et al.
Medical & Biological Engineering & Computing|November 5, 2015
Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatmentsLeonardo Rundo, Carmelo Militello, Salvatore Vitabile, et al.
Insights Into Imaging|March 29, 2022
Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic reviewNikita Sushentsev, Nadia Moreira Da Silva, Michael Yeung, et al.
European Radiology|July 13, 2021
Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillanceNikita Sushentsev, Leonardo Rundo, Oleg Blyuss, et al.
Scientific Reports|February 3, 2021
A quantum-inspired classifier for clonogenic assay evaluationsGiuseppe Sergioli, Carmelo Militello, Leonardo Rundo, et al.
Plos Computational Biology|September 9, 2021
FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networksAndrea Tangherloni, Marco S Nobile, Paolo Cazzaniga, et al.
Diagnostics (Basel, Switzerland)|August 26, 2022
Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future PerspectivesYuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Diagnostics (Basel, Switzerland)|May 24, 2024
IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRIYuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Academic Radiology|October 3, 2021
3D DCE-MRI Radiomic Analysis for Malignant Lesion Prediction in Breast Cancer PatientsCarmelo Militello, Leonardo Rundo, Mariangela Dimarco, et al.
Scientific Reports|November 30, 2022
Publisher Correction: Feasibility and sensitivity study of radiomic features in photoacoustic imaging of patient-derived xenograftsLorena Escudero Sanchez, Emma Brown, Leonardo Rundo, et al.
Pageof 7

Showing results (21-30 of 66) with videos related to

Sort By:
Pageof 7
Scientific Reports|November 2, 2021
Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic featuresErick Costa de Farias, Christian di Noia, Changhee Han, et al.
Medical & Biological Engineering & Computing|November 5, 2015
Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatmentsLeonardo Rundo, Carmelo Militello, Salvatore Vitabile, et al.
Insights Into Imaging|March 29, 2022
Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic reviewNikita Sushentsev, Nadia Moreira Da Silva, Michael Yeung, et al.
European Radiology|July 13, 2021
Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillanceNikita Sushentsev, Leonardo Rundo, Oleg Blyuss, et al.
Scientific Reports|February 3, 2021
A quantum-inspired classifier for clonogenic assay evaluationsGiuseppe Sergioli, Carmelo Militello, Leonardo Rundo, et al.
Plos Computational Biology|September 9, 2021
FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networksAndrea Tangherloni, Marco S Nobile, Paolo Cazzaniga, et al.
Diagnostics (Basel, Switzerland)|August 26, 2022
Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future PerspectivesYuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Diagnostics (Basel, Switzerland)|May 24, 2024
IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRIYuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Academic Radiology|October 3, 2021
3D DCE-MRI Radiomic Analysis for Malignant Lesion Prediction in Breast Cancer PatientsCarmelo Militello, Leonardo Rundo, Mariangela Dimarco, et al.
Scientific Reports|November 30, 2022
Publisher Correction: Feasibility and sensitivity study of radiomic features in photoacoustic imaging of patient-derived xenograftsLorena Escudero Sanchez, Emma Brown, Leonardo Rundo, et al.
Pageof 7