Advanced Computational Methods for Oncological Image Analysis by Leonardo Rundo, Carmelo Militello, Vincenzo Conti, Fulvio Zaccagna, Changhee Han

Get full text

Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey by Andronicus A. Akinyelu, Fulvio Zaccagna, James T. Grist, Mauro Castelli, Leonardo Rundo

Get full text

Effects of Multi-Shell Free Water Correction on Glioma Characterization by Lea Starck, Fulvio Zaccagna, Ofer Pasternak, Ferdia A. Gallagher, Renate Grüner, Frank Riemer

Get full text

IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRI by Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, Claudia Testa, Ruifeng Zhu, Caterina Tonon, Raffaele Lodi, David Neil Manners

Get full text

Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives by Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, Claudia Testa, Raffaele Agati, Raffaele Lodi, David Neil Manners, Caterina Tonon

Get full text

Microstructural changes precede depression in patients with relapsing-remitting Multiple Sclerosis by Frank Riemer, Ellen Skorve, Ofer Pasternak, Fulvio Zaccagna, Astri J. Lundervold, Øivind Torkildsen, Kjell-Morten Myhr, Renate Grüner

Get full text

Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI by Christian di Noia, James T. Grist, Frank Riemer, Maria Lyasheva, Miriana Fabozzi, Mauro Castelli, Raffaele Lodi, Caterina Tonon, Leonardo Rundo, Fulvio Zaccagna

Get full text

Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis by Cristiana Fiscone, Leonardo Rundo, Alessandra Lugaresi, David Neil Manners, Kieren Allinson, Elisa Baldin, Gianfranco Vornetti, Raffaele Lodi, Caterina Tonon, Claudia Testa, Mauro Castelli, Fulvio Zaccagna

Get full text

Multiparametric MRI dataset for susceptibility-based radiomic feature extraction and analysis by Cristiana Fiscone, Giovanni Sighinolfi, David Neil Manners, Lorenzo Motta, Greta Venturi, Ivan Panzera, Fulvio Zaccagna, Leonardo Rundo, Alessandra Lugaresi, Raffaele Lodi, Caterina Tonon, Mauro Castelli

Get full text

Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approach by Elizabeth P.V. Le, Mark Y.Z. Wong, Leonardo Rundo, Jason M. Tarkin, Nicholas R. Evans, Jonathan R. Weir-McCall, Mohammed M. Chowdhury, Patrick A. Coughlin, Holly Pavey, Fulvio Zaccagna, Chris Wall, Rouchelle Sriranjan, Andrej Corovic, Yuan Huang, Elizabeth A. Warburton, Evis Sala, Michael Roberts, Carola-Bibiane Schönlieb, James H.F. Rudd

Get full text